> “For each finding, fork a subagent generating unit or fuzz tests to establish 
> the veracity of each finding. Merge results, and eliminate findings that are 
> not demonstrable in practice explaining why.”

My review skill did this after getting too many false positives with 
concurrency.  I scoped it to only look at concurrency issues and the rate 
drastically dropped; I still get things flagged but only after the agent double 
checks it.

When I was going on paternity leave I was asked to review a patch Friday before 
I left; I didn’t have time so had the agent review and then did what you just 
said, asked it to create tests to prove its points; I ended up submitting the 
failing test as the review before I left.

> On Jun 9, 2026, at 11:52 PM, C. Scott Andreas <[email protected]> wrote:
> 
> This is an indirect answer, but for my own use of /deep-review I typically 
> follow the invocation with: “For each finding, fork a subagent generating 
> unit or fuzz tests to establish the veracity of each finding. Merge results, 
> and eliminate findings that are not demonstrable in practice explaining why.”
> 
> This has been very helpful toward pruning false positives, though it’s 
> possible it may have a minor adverse effect on recall.
> 
> Found a bug in high-scale-lib’s ConcurrentAutoTable#size() with it the other 
> day. :)
> 
> – Scott
> 
>> On Jun 9, 2026, at 11:13 PM, Alex Petrov <[email protected]> wrote:
>> 
>> 
>> I would really appreciate if folks would give feedback:
>> False positives (just post verbatim, if you can post an SHA, I can try 
>> figuring out why they got flagged)
>> False negatives (harder to spot, but if you have a human cycle after llm, 
>> you know what it didn’t find)
>> True positives (mostly to confirm this is actually useful)
>> This way I can further fine tune and improve.
>> 
>> On Tue, Jun 9, 2026, at 5:41 PM, Štefan Miklošovič wrote:
>>> Thanks Alex for the latest update on your branch! I have merged it
>>> (CASSANDRA-21373).
>>> 
>>> David, would you mind driving that PR of yours to the merge? That
>>> looks very handy as well.
>>> 
>>> On Fri, Jun 5, 2026 at 12:22 PM Štefan Miklošovič
>>> <[email protected] <mailto:[email protected]>> wrote:
>>> >
>>> > I am going to merge the PR of Alex next week. Whole week no progress /
>>> > changes so lets merge what we have.
>>> >
>>> > On Thu, May 28, 2026 at 10:38 AM Štefan Miklošovič
>>> > <[email protected] <mailto:[email protected]>> wrote:
>>> > >
>>> > > Hi Alex,
>>> > >
>>> > > Has the situation around your skills improved in relation to what you
>>> > > have described or can we move forward with it already?
>>> > >
>>> > > I think it is better to have something in rather than trying to
>>> > > perfect it on the first merge. The skills are useful as they are
>>> > > already and they can be calibrated in the future.
>>> > >
>>> > > Regards
>>> > >
>>> > > On Fri, May 15, 2026 at 6:58 PM Alex Petrov <[email protected] 
>>> > > <mailto:[email protected]>> wrote:
>>> > > >
>>> > > > It performs poorly on larger patches, so I was trying to chunk it. I 
>>> > > > was also experimenting with reverse checklists: you generate a review 
>>> > > > checklist per patch and take skill as an input inspiration. Kind of 
>>> > > > semgrep rules but you encode them verbally.
>>> > > >
>>> > > > On Fri, May 15, 2026, at 4:37 PM, Maxim Muzafarov wrote:
>>> > > >
>>> > > > As for large patches used to test new skills, I think the “CEP-38: CQL
>>> > > > Management API” PR ( https://github.com/apache/cassandra/pull/4582 )
>>> > > > could be a good playground to validate the relevance and accuracy of
>>> > > > the suggestions provided by the deep-review and patch-explainer
>>> > > > skills.
>>> > > >
>>> > > > (By the way, we still need a reviewer to move this patch forward.)
>>> > > >
>>> > > > I used patch-explainer to generate a description. This is what it 
>>> > > > looks like:
>>> > > > https://github.com/Mmuzaf/cassandra/blob/cassandra-19476-bug-hunting/CASSANDRA-19476-PR-DESCRIPTION.md
>>> > > >
>>> > > > Thoughts,
>>> > > >
>>> > > > I think it would be useful to explicitly mention a strategy to split
>>> > > > large patches into some reviewable parts, for example by logically
>>> > > > separating them by component. There is already a “Skip or minimize”
>>> > > > section, but it does not mention breaking large patches into blocks
>>> > > > (if it's possible). The skill currently does not mention trade-offs,
>>> > > > although during implementation I constantly kept them in mind and even
>>> > > > tracked them separately in my notes for each critical section. For
>>> > > > example, what is actually preferable: issuing a direct command QUERY
>>> > > > request or invoking pre-registered prepared statements?
>>> > > >
>>> > > > I also experimented with Mermaid diagrams (1) instead of ASCII
>>> > > > diagrams. This is how they could look (2) and looks better than the
>>> > > > text, although I noticed they tend to be less accurate.
>>> > > >
>>> > > >
>>> > > > I also tested deep-review, and although I had already used Claude to
>>> > > > review my changes, it still highlighted several issues that need to be
>>> > > > fixed:
>>> > > > https://github.com/Mmuzaf/cassandra/blob/cassandra-19476-bug-hunting/CEP-38_DEEP_REVIEW.md
>>> > > >
>>> > > > Overall, I think it’s good.
>>> > > > Could you share any deficiencies you’ve spotted, Alex?
>>> > > >
>>> > > >
>>> > > > [1] https://de.wikipedia.org/wiki/Mermaid_(Software)
>>> > > > [2] 
>>> > > > https://github.com/Mmuzaf/cassandra/blob/cassandra-19476-bug-hunting/CASSANDRA-19476-PR-DESCRIPTION-MERMAID.md
>>> > > >
>>> > > >
>>> > > > On Fri, 15 May 2026 at 09:18, Alex Petrov <[email protected] 
>>> > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > > I have spotted some deficiencies, particularly when reviewing large 
>>> > > > > patches. I have an experiment running that might improve the 
>>> > > > > situation. I’ll report as soon I have a result.
>>> > > > >
>>> > > > > On Thu, May 14, 2026, at 12:31 PM, Štefan Miklošovič wrote:
>>> > > > >
>>> > > > > I just merged (1) and created (2) for tracking the patch of Alex. 
>>> > > > > (1) and (2) don't collide.
>>> > > > >
>>> > > > > It would be cool to include this (2) in upcoming weeks, let's just 
>>> > > > > live with what Alex provided for a while to evaluate that set of 
>>> > > > > skills. If the general vibe is OK I would approach the merge. Let's 
>>> > > > > give it what ... few weeks? Until the end of the month  at least.
>>> > > > >
>>> > > > > (1) https://issues.apache.org/jira/browse/CASSANDRA-21301
>>> > > > > (2) https://issues.apache.org/jira/browse/CASSANDRA-21373
>>> > > > >
>>> > > > > On Mon, May 11, 2026 at 3:21 PM Štefan Miklošovič 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > > BTW I really appreciate TLA+ machinery in that patch, I let it scan 
>>> > > > > compression dictionaries code and how we disperse notifications 
>>> > > > > around the cluster when a dict is trained etc. and it spit out 
>>> > > > > stuff like this. There is an IDEA plugin for TLA+ I ran it in and 
>>> > > > > it just worked and verified :) I can imagine these specs might be 
>>> > > > > theoretically something we commit into the repo as well when 
>>> > > > > applicable. That way we would at least conceptually codify the 
>>> > > > > protocols and could elaborate on them on a high level and run some 
>>> > > > > formal verifications etc ... Really appreciate this aspect of it.
>>> > > > >
>>> > > > > (1) 
>>> > > > > https://gist.github.com/smiklosovic/24b4db51f9ee2b64d76cb0bbb104e29a
>>> > > > >
>>> > > > > On Mon, May 11, 2026 at 11:31 AM C. Scott Andreas 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > > Alex - thanks so much for putting this together and sharing.
>>> > > > >
>>> > > > > Here are three additional data loss / corruption bugs identified by 
>>> > > > > Arjun Ashok using this set of skills last week:
>>> > > > >
>>> > > > > – https://issues.apache.org/jira/browse/CASSANDRA-21356: 
>>> > > > > CursorBasedCompaction: ReusableLivenessInfo.isExpiring 
>>> > > > > <http://reusablelivenessinfo.isexpiring/>() incorrectly returns 
>>> > > > > true for tombstone cells, corrupting cursor-compacted SSTable 
>>> > > > > format and cell reconciliation
>>> > > > > – https://issues.apache.org/jira/browse/CASSANDRA-21357: 
>>> > > > > CursorBasedCompaction: prevUnfilteredSize always written as 0 in 
>>> > > > > SSTableCursorWriter
>>> > > > > – https://issues.apache.org/jira/browse/CASSANDRA-21358: 
>>> > > > > CursorBasedCompaction: Final index block width off by one byte in 
>>> > > > > SSTableCursorWriter#appendBIGIndex()
>>> > > > >
>>> > > > > Stepping back a bit --
>>> > > > >
>>> > > > > This set of skills combined with the Opus model have enabled folks 
>>> > > > > to find 14 data loss, corruption, and correctness bugs in the 
>>> > > > > project in the past ~two weeks. These are bugs that likely would 
>>> > > > > have gone undetected - and if encountered in the wild, would have 
>>> > > > > required extensive manual fuzz testing to reproduce and identify.
>>> > > > >
>>> > > > > In the case of the the issue that I'd found and reported:
>>> > > > > https://issues.apache.org/jira/browse/CASSANDRA-21340: GROUP BY 
>>> > > > > queries silently return incomplete results due to premature SRP 
>>> > > > > abort
>>> > > > >
>>> > > > > I found this by invoking the skill with the prompt "Review 
>>> > > > > Cassandra's implementation of GROUP BY for correctness. Identify 
>>> > > > > edge cases that might result in incorrect responses. After 
>>> > > > > identifying candidate bugs, fan out subagents to write unit tests 
>>> > > > > and fuzz tests attempting to reproduce them. Assess their veracity, 
>>> > > > > and present them in order of concern."
>>> > > > >
>>> > > > > In less than 30 minutes while sitting on the sofa, the model and 
>>> > > > > skill identified CASSANDRA-21340. In another hour, I was able to 
>>> > > > > establish its veracity, then leave the model and prompt behind to 
>>> > > > > work through the issue and write up the Jira ticket by hand.
>>> > > > >
>>> > > > > I'm *really* impressed by what this set of skills enable, and I 
>>> > > > > think they may be transformative for quality in Apache Cassandra – 
>>> > > > > especially when combined with the ability to write in-JVM dtests; 
>>> > > > > Harry tests; and to use the Simulator. These also make it a lot 
>>> > > > > easier to use each of these tools.
>>> > > > >
>>> > > > > Here's how I'm thinking about this work so far:
>>> > > > >
>>> > > > > – The ensemble review skills are a great first-pass review that can 
>>> > > > > be used by anyone preparing a patch to identify potential issues.
>>> > > > > – They're incredible for pointing at existing and/or new + 
>>> > > > > experimental components in Cassandra to find serious correctness 
>>> > > > > issues.
>>> > > > > – I'm sure we'd find latent issues if we directed the skills at 
>>> > > > > interaction between multiple components, like "range tombstones x 
>>> > > > > short read protection x reverse reads x compact storage" (etc).
>>> > > > > – I think these skills could be generalized to support bug-finding 
>>> > > > > and validation in other Apache projects.
>>> > > > > – I also think there is a generalization of these skills that could 
>>> > > > > be applied to CPU + allocation profiling and optimization.
>>> > > > >
>>> > > > > For those who have access to a suitable model, I'd love to hear 
>>> > > > > your experience attempting to find a latent bug in the database.
>>> > > > >
>>> > > > > I was shocked how easy it was, and am hopeful for what this might 
>>> > > > > do for quality and data integrity in the project.
>>> > > > >
>>> > > > > – Scott
>>> > > > >
>>> > > > > On May 8, 2026, at 5:22 PM, Alex Petrov <[email protected] 
>>> > > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > I would recommend Opus 4.6+ for /deep-review, but /shallow-review 
>>> > > > > is probably fine with sonnet.
>>> > > > >
>>> > > > > Maybe time permitting, I can do evals for different models at some 
>>> > > > > point.
>>> > > > >
>>> > > > > Review process is always a bottleneck and introducing such skills 
>>> > > > > should help to make it faster and more reliable.
>>> > > > >
>>> > > > > This is hope here, but this is also just a start: we need to reduce 
>>> > > > > false-positives, and do more with specifications (P, TLA+) for 
>>> > > > > critical parts of code.
>>> > > > >
>>> > > > > On Fri, May 8, 2026, at 5:56 PM, Dmitry Konstantinov wrote:
>>> > > > >
>>> > > > > Hi, Alex, thank you a lot for sharing it. I have been using Claude 
>>> > > > > code for review of my changes but in a very basic ad-hoc way, it 
>>> > > > > works for simple issues. The skills look much much more powerful. I 
>>> > > > > am going to read and try them in the upcoming weeks.
>>> > > > > Review process is always a bottleneck and introducing such skills 
>>> > > > > should help to make it faster and more reliable.
>>> > > > >
>>> > > > > A question: what model(s) do you use to run them? Is Sonet 4.6 
>>> > > > > enough?
>>> > > > >
>>> > > > > Thanks,
>>> > > > > Dmitry
>>> > > > >
>>> > > > > On Fri, 8 May 2026 at 14:03, Alex Petrov <[email protected] 
>>> > > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > Hello folks,
>>> > > > >
>>> > > > > We have been working on some tooling [1] around Apache Cassandra 
>>> > > > > correctness, and wanted to share it with Cassandra community.
>>> > > > >
>>> > > > > We have approached this by "indexing" ~3k Cassandra issues and 
>>> > > > > extracting common patterns from them, generalizing them, then 
>>> > > > > running evals, tweaking, and extending them until we were had a 
>>> > > > > strong signal that it performs better than the run-of-the mill code 
>>> > > > > review skill. We have benchmarked it against some popular OSS 
>>> > > > > skills (by presenting bugs we knew existed from "indexing" Apache 
>>> > > > > Kafka, inferring commit bug source from the fix, and making sure 
>>> > > > > benchmarked skills actually find it).
>>> > > > >
>>> > > > > In addition, I did my best to codify some things I knew about 
>>> > > > > correctness, researching code, and writing repros, and what I could 
>>> > > > > find in research papers and public blog posts.
>>> > > > >
>>> > > > > So far we were able to find (at very least) following issues (in 
>>> > > > > reality the number is higher but I have a backlog of potential 
>>> > > > > leads to investigate and reproduce longer than the time I have 
>>> > > > > available for these pursuits).
>>> > > > >
>>> > > > > deep review + fuzzer:
>>> > > > >
>>> > > > > CASSANDRA-21307: Lower bound [SSTABLE_UPPER_BOUND(row000063)] is 
>>> > > > > bigger than first returned value
>>> > > > > CASSANDRA-21292: Row re-inserted at the exact start of a range 
>>> > > > > tombstone disappears after major compaction
>>> > > > > CASSANDRA-21255: Differentiate between legitimate cases where the 
>>> > > > > first entry is the same as the last entry and empty bounds in 
>>> > > > > SSTableCursorWriter#addIndexBlock()
>>> > > > >
>>> > > > > shallow + deep review:
>>> > > > >
>>> > > > > (latent) issue of unused keepFrom in linearSubtract 
>>> > > > > https://github.com/apache/cassandra-accord/pull/272
>>> > > > > CASSANDRA-21336: CursorBasedCompaction: trailing present columns 
>>> > > > > are silently dropped in encodeLargeColumnsSubset()
>>> > > > > CASSANDRA-21340: GROUP BY queries silently return incomplete 
>>> > > > > results due to premature SRP abort
>>> > > > > CASSANDRA-21352 TCM: AtomicLongBackedProcessor sort inversion
>>> > > > > CASSANDRA-21353 putShortVolatile is not volatile in InMemoryTrie
>>> > > > >
>>> > > > > Via specifications:
>>> > > > >
>>> > > > > CASSANDRA-21337: Difference in behavior between Cursor-Based 
>>> > > > > compaction and "Regular" compaction
>>> > > > > CASSANDRA-21336: CursorBasedCompaction: trailing present columns 
>>> > > > > are silently dropped in encodeLargeColumnsSubset()
>>> > > > > CASSANDRA-21339: CursorBasedCompaction: expiring cells, same 
>>> > > > > timestamp, same ldt, different ttl
>>> > > > > CASSANDRA-21338: value comparison direction reversed in 
>>> > > > > CursorCompactor
>>> > > > >
>>> > > > > A few folks were using this skill to test some of subsystems, and 
>>> > > > > might report more issues that I am not directly attributing here. I 
>>> > > > > have also used these skills for self-review and have caught a 
>>> > > > > couple of issues before they made it into the codebase.
>>> > > > >
>>> > > > > Despite some early success, I still consider this a very raw set of 
>>> > > > > prompts, but I think this has utility, and based on the success we 
>>> > > > > have seen so far, can be helpful and is (according to my 
>>> > > > > measurement methodology) fairing better than one-shot code review 
>>> > > > > prompts that an LLM would generate by user request.
>>> > > > >
>>> > > > > Since I was focusing on finding issues, running evals, and trying 
>>> > > > > several other methodologies that did not make into this 
>>> > > > > version/cut, I did not have a chance to sit and re-read the entire 
>>> > > > > final result just yet, which is why I am not suggesting merging 
>>> > > > > this into Cassandra codebase until we better vet it, but with your 
>>> > > > > help and feedback maybe we can do this quicker.
>>> > > > >
>>> > > > > Hope you find this useful, please share your opinion, experience, 
>>> > > > > and criticism.
>>> > > > >
>>> > > > > Happy bug hunting!
>>> > > > > --Alex
>>> > > > >
>>> > > > > [1] https://github.com/apache/cassandra/pull/4794
>>> > > > >
>>> > > > >
>>> > > > > On Mon, Apr 13, 2026, at 1:12 PM, Štefan Miklošovič wrote:
>>> > > > >
>>> > > > > I noticed this PR just landed.
>>> > > > >
>>> > > > > Volunteers reviewing / improving greatly appreciated!
>>> > > > >
>>> > > > > (1) https://github.com/apache/cassandra/pull/4734
>>> > > > >
>>> > > > > On Thu, Feb 26, 2026 at 5:43 PM Jon Haddad 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > > I wanted to share a couple of other things I thought of.  I wrote 
>>> > > > > this:
>>> > > > >
>>> > > > > > C*'s technical debt will make using an agent in the codebase much 
>>> > > > > > harder than using one in my own
>>> > > > >
>>> > > > > I want to clarify my intent with this statement.  I was trying to 
>>> > > > > convey that I've had the luxury of refactoring my code several 
>>> > > > > times, because I don't have to worry about messing with other 
>>> > > > > people's branches.  I usually write something, use it briefly, find 
>>> > > > > its faults, redo it, and iterate several times.  I never consider 
>>> > > > > anything done and am always looking to improve. This is very 
>>> > > > > difficult with a project involving many people who have in-flight 
>>> > > > > branches spanning several months.  Changes I consider no-brainers 
>>> > > > > might be a headache for C*.  For example, I can just add a code 
>>> > > > > formatter and rewrite every file in the codebase.  I make major 
>>> > > > > changes regularly without any consequences. Here, it impacts dozens 
>>> > > > > of people.  I proactively improve my code's architecture because 
>>> > > > > there are few, if any, negative reasons not to.  It's enabled me to 
>>> > > > > pay off a ton of technical debt that accumulated over the eight 
>>> > > > > years I handwrote everything.
>>> > > > >
>>> > > > > Another example: I've been working on an orchestration tool around 
>>> > > > > easy-db-lab to automate running my tests across several clusters in 
>>> > > > > parallel.  I recently refactored it to split the REST server code 
>>> > > > > from the execution into Gradle submodules.  Now I can create 
>>> > > > > different agents specializing in each module's content, which slims 
>>> > > > > down the context for each agent.  Since I have a very clear 
>>> > > > > boundary on each agent's responsibility, I avoid the overhead of 
>>> > > > > having one agent manage one huge codebase.  I can specifically tell 
>>> > > > > that one agent is responsible for this directory, and its expertise 
>>> > > > > is in Ktor.  Another agent is a Gradle expert.  Another is 
>>> > > > > Kubernetes.  When I work on tasks they can be decomposed into task 
>>> > > > > lists for each specialized agent.
>>> > > > >
>>> > > > > I've always thought this would be a great architectural improvement 
>>> > > > > for the C* codebase regardless of LLMs. For example, putting the 
>>> > > > > CQL parser in a standalone module would allow us to publish it so 
>>> > > > > people could consume it in their own ecosystem without pulling in 
>>> > > > > C*-all.  Isolating a few of these subsystems could reduce cognitive 
>>> > > > > overhead and simplify test design.  I'm sure making the commit log 
>>> > > > > reader standalone would make it much easier to use in the sidecar. 
>>> > > > > Easily using the SSTable readers and writers without all the other 
>>> > > > > dependencies would reduce workarounds in bulk analytics and make 
>>> > > > > these types of projects more feasible, benefiting the wider 
>>> > > > > ecosystem.
>>> > > > >
>>> > > > > Regardless of this approach, creating a devcontainer environment 
>>> > > > > for the project and pushing the image to GHCR would also be 
>>> > > > > beneficial.  I am now using one with each of my tools.  I don't 
>>> > > > > trust Claude not to wipe my system, so I sandbox it in a container. 
>>> > > > > It only has access to the local project and cannot push code or 
>>> > > > > reach GitHub.  Devcontainers are supported directly in IDEA, Zed, 
>>> > > > > and VSCode.  You can also launch them directly from GitHub or use 
>>> > > > > the Claude mobile app.  I haven't spent much time on this yet 
>>> > > > > though, I still prefer two big 5k screens and a deafening 
>>> > > > > mechanical keyboard.
>>> > > > >
>>> > > > > Jon
>>> > > > >
>>> > > > > [1] 
>>> > > > > https://github.com/rustyrazorblade/easy-db-lab/blob/main/.devcontainer/devcontainer.json
>>> > > > > [2] 
>>> > > > > https://github.com/rustyrazorblade/easy-db-lab/blob/main/.devcontainer/Dockerfile
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > > On Thu, Feb 26, 2026 at 12:58 AM Štefan Miklošovič 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > > Thank you Jon for sharing,that was very helpful. All these insights 
>>> > > > > are invaluable.
>>> > > > >
>>> > > > > On Wed, Feb 25, 2026 at 11:50 PM Jon Haddad 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > > Regarding ant, we'd probably want a wrapper shell script that is 
>>> > > > > more LLM-friendly, hiding the excessive text and providing more 
>>> > > > > actionable output.  You can also delegate any task to a subagent so 
>>> > > > > you don't waste your context on the `ant` output, and use Claude's 
>>> > > > > new Agent Teams [1] feature to have a "builder" agent run in its 
>>> > > > > own process.
>>> > > > > Docs help Claude find code, big time.  You can give it your 
>>> > > > > organizational structure and that institutional knowledge so it 
>>> > > > > doesn't have to pull in many tokens from dozens of files.  It 
>>> > > > > *definitely* works.  I've pushed over a quarter million LOC this 
>>> > > > > month alone [1], and many of you may already know I'm obsessed with 
>>> > > > > efficiency.  I constantly test new ideas and approaches to refine 
>>> > > > > my process; I've found good documentation is *critical*.
>>> > > > >
>>> > > > > I've recently started working with both Spec-Kit (Microsoft, but it 
>>> > > > > looks abandoned) and OpenSpec, as both are designed to maintain 
>>> > > > > long-term memory for a project's product requirements and technical 
>>> > > > > decisions.  OpenSpec is supposed to work better for brownfield and 
>>> > > > > iterative projects.  I haven't tried BMAD yet.  It seemed a bit 
>>> > > > > more heavyweight, but it may be better for this project than my 
>>> > > > > personal ones, where I don't collaborate with anyone.
>>> > > > >
>>> > > > > I have found that the best results come from loosely coupled 
>>> > > > > systems.  C*'s technical debt will make using an agent in the 
>>> > > > > codebase much harder than using one in my own.  I haven't tried to 
>>> > > > > work on a patch in C* yet with an agent, but when I do I'll be sure 
>>> > > > > to share what I've learned.
>>> > > > >
>>> > > > > Today I introduced OpenSpec to easy-db-lab, you can see what it 
>>> > > > > looks like [3] if you're curious.  A number of markdown commands 
>>> > > > > were added to the repo, and Spec-Kit was removed.  I haven't 
>>> > > > > reviewed it yet.  By the time you read this I will have likely made 
>>> > > > > some changes in a review. If you want to see the before and after, 
>>> > > > > the pre-review commit is c6a94e1.
>>> > > > >
>>> > > > > Jon
>>> > > > >
>>> > > > > [1] https://code.claude.com/docs/en/agent-teams
>>> > > > > [2] my 2 main projects, not including client work:
>>> > > > > git log --since="$(date +%Y-%m-01)" --numstat --pretty=tformat: | 
>>> > > > > awk 'NF==3 {added+=$1; removed+=$2} END {print "Added:", added, 
>>> > > > > "Removed:", removed}'
>>> > > > > Added: 90339 Removed: 45222
>>> > > > >
>>> > > > > git log --since="$(date +%Y-%m-01)" --numstat --pretty=tformat: | 
>>> > > > > awk 'NF==3 {added+=$1; removed+=$2} END {print "Added:", added, 
>>> > > > > "Removed:", removed}'
>>> > > > > Added: 124863 Removed: 52923
>>> > > > >
>>> > > > >
>>> > > > > [3] https://github.com/rustyrazorblade/easy-db-lab/pull/530/changes
>>> > > > >
>>> > > > > On Wed, Feb 25, 2026 at 6:18 AM David Capwell <[email protected] 
>>> > > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > > I’m not against memory / skills being added, but do want to request 
>>> > > > > we think / test to make sure we can quantify the gains
>>> > > > >
>>> > > > > <arxiv-logo-fb.png>
>>> > > > > Evaluating AGENTS.md <http://agents.md/>: Are Repository-Level 
>>> > > > > Context Files Helpful for Coding Agents?
>>> > > > > arxiv.org <http://arxiv.org/>
>>> > > > >
>>> > > > > <arxiv-logo-fb.png>
>>> > > > > SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse 
>>> > > > > Tasks
>>> > > > > arxiv.org <http://arxiv.org/>
>>> > > > >
>>> > > > >
>>> > > > > These papers actually match my lived experience with this projects 
>>> > > > > and others.
>>> > > > >
>>> > > > > 1) using /init to create CLAUDE.md <http://claude.md/> / AGENTS.md 
>>> > > > > <http://agents.md/> yields negative results.  This is how I started 
>>> > > > > and have moved away.  What is the context you need 100% of the 
>>> > > > > thing? It’s things that Claude can’t discover easy such as tribal 
>>> > > > > knowledge (such as link to our style guide).
>>> > > > > 2) Ant is horrible for agents, not to figure out what to do (Claude 
>>> > > > > is good at that) but at context bloat… do “ant jar” and you add 
>>> > > > > like 10-20k tokens… you MUST have tooling to fix this (I ban Claude 
>>> > > > > from touching ant command, it’s only allowed to run “ai-build”, and 
>>> > > > > “ai-ci-test” as these fix the context problems; rtk “might” work 
>>> > > > > here, not tested as in on leave)
>>> > > > > 3) Claude doesn’t need docs to find code, that actually confuses it 
>>> > > > > more.  When it needs to modify code it’s going to have to explore 
>>> > > > > and will most likely find what it needs.  I agree docs for humans 
>>> > > > > would help, but let’s keep it out of AI memory files.
>>> > > > > 4) I only really use sonnet/opus 4.5+, these claims might not be 
>>> > > > > true for older models or the open weight models.
>>> > > > >
>>> > > > > As for skills, the following makes sense to me but I really hope a 
>>> > > > > human writes as AI doesn’t do well at understanding the WHY well 
>>> > > > > and makes bad assumptions: property testing, stateful property 
>>> > > > > testing, harry, The Simulator.  I left out cqltester because I 
>>> > > > > found Claude doesn’t suck at it, so not sure what a skill would 
>>> > > > > add. The others I found it struggles with and produces bad quality 
>>> > > > > tests.
>>> > > > >
>>> > > > > Last comment: Stefan, your link about ai code in the project didn’t 
>>> > > > > take into account what happened in the PR.  Our global static state 
>>> > > > > world caused a single test to fail which required a complete 
>>> > > > > rewrite of the patch that I ended up doing by hand.  So that patch 
>>> > > > > ended up being 100% human.
>>> > > > >
>>> > > > > Sent from my iPhone
>>> > > > >
>>> > > > > On Feb 18, 2026, at 6:29 PM, Štefan Miklošovič 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > > These are great points. I like how granular the approach of having
>>> > > > > multiple files is. That means we do not need to craft one
>>> > > > > "uber-claude.md" but we can do this iteratively and per specific
>>> > > > > domain which is easier to handle.
>>> > > > >
>>> > > > > One consequence of having these "context files" is that a 
>>> > > > > contributor
>>> > > > > does not even need to use any AI whatsoever in order to be more
>>> > > > > productive and organized. There is a lot of time lost when a new
>>> > > > > contributor wants to understand how the project "thinks", what are
>>> > > > > do-s and dont-s etc. All stuff which appears once a patch is
>>> > > > > submitted. If we explained to everybody in plain English how this 
>>> > > > > all
>>> > > > > works on a detailed level, per domain, that would be tremendously
>>> > > > > helpful even without AI.
>>> > > > >
>>> > > > > It will be interesting to watch how these files are written. To
>>> > > > > formalize and write it down is quite a task on its own.
>>> > > > >
>>> > > > >
>>> > > > > On Wed, Feb 18, 2026 at 6:47 PM Patrick McFadin <[email protected] 
>>> > > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > Context size is the hardest thing to manage right now in agentic 
>>> > > > > coding. I’ve stopped using MCP and switched to skills as a result.
>>> > > > >
>>> > > > >
>>> > > > > A couple of things worth noting. You can use many multiple 
>>> > > > > CLAUDE.md/AGENT.md <http://claude.md/AGENT.md> files in a large 
>>> > > > > code base. I’m started doing this and it is remarkable. For 
>>> > > > > example, in the pylib directory a CLAUDE.md <http://claude.md/> 
>>> > > > > file would provide the Python specific info if making changes. The 
>>> > > > > standard layout for each should be
>>> > > > >
>>> > > > > - What is this
>>> > > > >
>>> > > > > - Where do I get more information
>>> > > > >
>>> > > > > - How do I run or test
>>> > > > >
>>> > > > > - What are the non-nogetialble rules
>>> > > > >
>>> > > > > - What does done look like
>>> > > > >
>>> > > > >
>>> > > > > Imagine one in all sorts of places. fqtool, sstableloader, o.a.c.io 
>>> > > > > <http://o.a.c.io/>.*, o.a.c.repair <http://o.a.c.repair/>.* etc 
>>> > > > > etc. And they can evolve over time as people use them.
>>> > > > >
>>> > > > >
>>> > > > > The other thing to bring up is Brokk built by Jonathan Ellis. He 
>>> > > > > specifically built it for large code bases and specifically tests 
>>> > > > > on the Cassandra code base. (I’ll let him jump in here)
>>> > > > >
>>> > > > >
>>> > > > > Patrick
>>> > > > >
>>> > > > >
>>> > > > > On Feb 18, 2026, at 8:51 AM, Josh McKenzie <[email protected] 
>>> > > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > I’ve had trouble using Claude effectively on C*’s large codebase 
>>> > > > > without a lot of repeated “repo discovery” prompting.
>>> > > > >
>>> > > > >
>>> > > > > Just to keep beating the drum: I've had trouble working in our 
>>> > > > > codebase effectively without a lot of repeated "repo discovery" 
>>> > > > > time. In fact, a huge portion of the time I spend working on the 
>>> > > > > codebase consists of reading into adjacent coupled classes and 
>>> > > > > modules since things are a) not consistently or thoroughly 
>>> > > > > documented, and b) generally not that decoupled.
>>> > > > >
>>> > > > >
>>> > > > > This is also / primarily a "human <-> information interfacing 
>>> > > > > efficiency problem" and it just so happens LLM's and agents being 
>>> > > > > blocked from working on our codebase is giving us an immediate 
>>> > > > > short-term pain-proxy for something I strongly believe has been a 
>>> > > > > long-term tax on us.
>>> > > > >
>>> > > > >
>>> > > > > On Wed, Feb 18, 2026, at 10:04 AM, Isaac Reath wrote:
>>> > > > >
>>> > > > >
>>> > > > > I'm a +1 for the same reason that Josh lays out. Markdown files 
>>> > > > > that detail the structure of the repo, how to build & run tests, 
>>> > > > > how to get checkstyle to pass, etc. are all very valuable to new 
>>> > > > > contributors even if LLMs went away today.
>>> > > > >
>>> > > > >
>>> > > > > On Tue, Feb 17, 2026 at 7:33 PM Jon Haddad 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > It's all part of the same topic, Yifan.  You're making a 
>>> > > > > distinction without a difference. We could just as easily be 
>>> > > > > discussing supporting certain MCP servers like serena, or baking 
>>> > > > > claude into a devcontainer.  It's all relevant. There's no need to 
>>> > > > > police the discussion.
>>> > > > >
>>> > > > >
>>> > > > > On Tue, Feb 17, 2026 at 4:25 PM Yifan Cai <[email protected] 
>>> > > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > The original post was about adding AI tooling, prompt, command, or 
>>> > > > > skill. The thread is shifted to AI memory files.
>>> > > > >
>>> > > > >
>>> > > > > I do not have an objection to any of these, but want to make sure 
>>> > > > > that we are still on the original topic.
>>> > > > >
>>> > > > >
>>> > > > > IMO, AI tooling has a clear scope / definition and is easier to 
>>> > > > > reach consensus on. Meanwhile, AI memory files are vague to define 
>>> > > > > clearly. Different developers on different domains could have quite 
>>> > > > > different preferences.
>>> > > > >
>>> > > > >
>>> > > > > - Yifan
>>> > > > >
>>> > > > >
>>> > > > > On Tue, Feb 17, 2026 at 3:37 PM Dmitry Konstantinov 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > I do not have my one but here there are few examples from oher 
>>> > > > > Apache projects:
>>> > > > >
>>> > > > > https://github.com/apache/camel/blob/main/AGENTS.md
>>> > > > >
>>> > > > > https://github.com/apache/ignite-3/blob/main/CLAUDE.md
>>> > > > >
>>> > > > > https://github.com/apache/superset/blob/master/superset/mcp_service/CLAUDE.md
>>> > > > >
>>> > > > >
>>> > > > > On Tue, 17 Feb 2026 at 23:22, Jon Haddad <[email protected] 
>>> > > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > I think a few folks are already using CLAUDE.md <http://claude.md/> 
>>> > > > > files in their repo and they're just not committing them.
>>> > > > >
>>> > > > > Anyone want to share what's already done?  I'm happy to help share 
>>> > > > > what I know about the agentic side of things, but since I don't do 
>>> > > > > much in the way of patching C* it would be a lot of guessing.
>>> > > > >
>>> > > > >
>>> > > > > If I'm wrong and nobody shares one, I'll take a stab at it.
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > > On Tue, Feb 17, 2026 at 3:08 PM Štefan Miklošovič 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > Great feedback everybody! Really appreciate it!
>>> > > > >
>>> > > > >
>>> > > > > Reading what Jon posted ... Jon, I think you are the most 
>>> > > > > experienced
>>> > > > >
>>> > > > > in this based on what you wrote. Would you mind doing some POC here
>>> > > > >
>>> > > > > for Cassandra repo? For the trunk it is enough ... Something we 
>>> > > > > might
>>> > > > >
>>> > > > > build further on. I think we need to build the foundations of that 
>>> > > > > and
>>> > > > >
>>> > > > > put some structure into it and all things considered I think you are
>>> > > > >
>>> > > > > best for the job here.
>>> > > > >
>>> > > > >
>>> > > > > If the basics are there we can play with it more before merging, 
>>> > > > > this
>>> > > > >
>>> > > > > is not something which needs to be done "tomorrow", we can 
>>> > > > > collaborate
>>> > > > >
>>> > > > > on something together for some time and add things into it as 
>>> > > > > patches
>>> > > > >
>>> > > > > come. I think it takes some time to "tune" it.
>>> > > > >
>>> > > > >
>>> > > > > Everybody else feel free to help! My experience in this space is
>>> > > > >
>>> > > > > limited, I think there are people who are using it more often than 
>>> > > > > me
>>> > > > >
>>> > > > > for sure.
>>> > > > >
>>> > > > >
>>> > > > > Regards
>>> > > > >
>>> > > > >
>>> > > > > On Wed, Feb 18, 2026 at 12:59 AM Joel Shepherd <[email protected] 
>>> > > > > <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > There's been some momentum building for AGENTS.md 
>>> > > > > <http://agents.md/> files, both on the
>>> > > > >
>>> > > > > project and on the agent side:
>>> > > > >
>>> > > > >
>>> > > > >     https://agents.md <https://agents.md/>/
>>> > > > >
>>> > > > >
>>> > > > > Same idea and benefits, but it might help to align folks on a 
>>> > > > > "standard"
>>> > > > >
>>> > > > > that will work well across agents.
>>> > > > >
>>> > > > >
>>> > > > > I also think that more and better code documentation can be very
>>> > > > >
>>> > > > > beneficial when using agents to help with working out implementation
>>> > > > >
>>> > > > > details. I spent a bunch of time in January writing an introduction 
>>> > > > > to
>>> > > > >
>>> > > > > Apache Ratis (Raft as a library:
>>> > > > >
>>> > > > > https://github.com/apache/ratis/blob/master/ratis-docs/src/site/markdown/index.md).
>>> > > > >
>>> > > > > The code itself is pretty well-documented but it was hard for me to
>>> > > > >
>>> > > > > build a mental model of how to integrate with. AI was very 
>>> > > > > effective in
>>> > > > >
>>> > > > > taking the granular in-code documentation and synthesizing an 
>>> > > > > overview
>>> > > > >
>>> > > > > from it. Going the other way, the in-code documentation has made it
>>> > > > >
>>> > > > > possible for me to deep dive the Ratis code to root cause bugs, etc.
>>> > > > >
>>> > > > > Agents can get a lot out of good class- and method-level 
>>> > > > > documentation.
>>> > > > >
>>> > > > >
>>> > > > > -- Joel.
>>> > > > >
>>> > > > >
>>> > > > > On 2/16/2026 8:03 PM, Bernardo Botella wrote:
>>> > > > >
>>> > > > > CAUTION: This email originated from outside of the organization. Do 
>>> > > > > not click links or open attachments unless you can confirm the 
>>> > > > > sender and know the content is safe.
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > > Thanks for bringing this up Stefan!!
>>> > > > >
>>> > > > >
>>> > > > > A really interesting topic indeed.
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > > I’ve also heard ideas around even having Claude.md 
>>> > > > > <http://claude.md/> type of files that help LLMs understand the 
>>> > > > > code base without having to do a full scan every time.
>>> > > > >
>>> > > > >
>>> > > > > So, all and all, putting together something that we as a community 
>>> > > > > think that describe good practices + repository information not 
>>> > > > > only for the main Cassandra repository, but also for its 
>>> > > > > subprojects, will definitely help contributors adhere to standards 
>>> > > > > and us reviewers to ensure that some steps at least will have been 
>>> > > > > considered.
>>> > > > >
>>> > > > >
>>> > > > > Things like:
>>> > > > >
>>> > > > > - Repository structure. What every folder is
>>> > > > >
>>> > > > > - Tests suits and how they work and run
>>> > > > >
>>> > > > > - Git commits standards
>>> > > > >
>>> > > > > - Specific project lint rules (like braces in new lines!)
>>> > > > >
>>> > > > > - Preferred wording style for patches/documentation
>>> > > > >
>>> > > > >
>>> > > > > Committed to the projects, and accesible to LLMs, sound like really 
>>> > > > > useful context for those type of contributions (that are going to 
>>> > > > > keep happening regardless).
>>> > > > >
>>> > > > >
>>> > > > > So curious to read what others think.
>>> > > > >
>>> > > > > Bernardo
>>> > > > >
>>> > > > >
>>> > > > > PD. Totally agree that this should change nothing of the quality 
>>> > > > > bar for code reviews and merged code
>>> > > > >
>>> > > > >
>>> > > > > On Feb 16, 2026, at 6:27 PM, Štefan Miklošovič 
>>> > > > > <[email protected] <mailto:[email protected]>> wrote:
>>> > > > >
>>> > > > >
>>> > > > > Hey,
>>> > > > >
>>> > > > >
>>> > > > > This happened recently in kernel space. (1), (2).
>>> > > > >
>>> > > > >
>>> > > > > What that is doing, as I understand it, is that you can point LLM to
>>> > > > >
>>> > > > > these resources and then it would be more capable when reviewing
>>> > > > >
>>> > > > > patches or even writing them. It is kind of a guide / context 
>>> > > > > provided
>>> > > > >
>>> > > > > to AI prompt.
>>> > > > >
>>> > > > >
>>> > > > > I can imagine we would just compile something similar, merge it to 
>>> > > > > the
>>> > > > >
>>> > > > > repo, then if somebody is prompting it then they would have an 
>>> > > > > easier
>>> > > > >
>>> > > > > job etc etc, less error prone ... adhered to code style etc ...
>>> > > > >
>>> > > > >
>>> > > > > This might look like a controversial topic but I think we need to
>>> > > > >
>>> > > > > discuss this. The usage of AI is just more and more frequent. From
>>> > > > >
>>> > > > > Cassandra's perspective there is just this (3) but I do not think we
>>> > > > >
>>> > > > > reached any conclusions there (please correct me if I am wrong where
>>> > > > >
>>> > > > > we are at with AI generated patches).
>>> > > > >
>>> > > > >
>>> > > > > This is becoming an elephant in the room, I am noticing that some
>>> > > > >
>>> > > > > patches for Cassandra were prompted by AI completely. I think it 
>>> > > > > would
>>> > > > >
>>> > > > > be way better if we make it easy for everybody contributing like 
>>> > > > > that.
>>> > > > >
>>> > > > >
>>> > > > > This does not mean that we, as committers, would believe what AI
>>> > > > >
>>> > > > > generated blindlessly. Not at all. It would still need to go over 
>>> > > > > the
>>> > > > >
>>> > > > > formal review as anything else. But acting like this is not 
>>> > > > > happening
>>> > > > >
>>> > > > > and people are just not going to use AI when trying to contribute is
>>> > > > >
>>> > > > > not right. We should embrace it in some form ...
>>> > > > >
>>> > > > >
>>> > > > > 1) https://github.com/masoncl/review-prompts
>>> > > > >
>>> > > > > 2) 
>>> > > > > https://lore.kernel.org/lkml/[email protected]/
>>> > > > >
>>> > > > > 3) https://lists.apache.org/thread/j90jn83oz9gy88g08yzv3rgyy0vdqrv7
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > > --
>>> > > > >
>>> > > > > Dmitry Konstantinov
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > > --
>>> > > > > Dmitry Konstantinov
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > > >
>>> > > >
>>> > > >
>>> 
>> 

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