Phew ... what a response, Patrick! It is sad to read this, actually.

Together with Chris' reponse above which was very direct in its own
way, first of all I have to say that I love to see the courage of this
level shown publicly. I am glad we even have this kind of discussion
and it is the sign we can at least talk about this freely which is
something to value as such. I always valued that I can express myself
freely here.

Reading this whole thread, now I feel pretty stupid that I agreed so
eagerly. I should wait a bit more and keep my mouth shut.

I believe this policy as presented was written in a good faith, I do
not question Benedict's motivations when writing it. BUT. Maybe we are
doing this unconsciously, maybe we are afraid this AI thing will eat
us alive, maybe, just maybe, some people try to introduce something so
they can navigate the carrier as they are used to for decades and this
pesky AI thing is bringing them a slop to deal with and they are just
pretty irritated by that. Maybe. Everybody should answer that for
themselves honestly.

When it comes to me, I am doing everything in my power to be more
welcoming, what I see is that recently the number of contributors
actually increased, the last half of the year, maybe? Was it caused by
AI? Maybe, maybe not (I think it was) But I see an uptick in PRs
openened. The overall feeling I have is that I am way behind on the
reviews. It is just too much. I am half-way burned out, actually. The
PRs are just coming and coming and there are not enough people to
review and merge and make it happen. Pre-CI was turned off recently.
What else to say ...

Maybe the reason I am +1 on this is the fact that I want to go slower,
because if this is introduced it _will_ slow things down, of course.
More red tape = going slower. There is no scenario where more red tape
increases velocity. So in some sense accepting this is my defense
against being overwhelmed. But that is the wrong way to look at it.
The right answer is to expand the capacity of what we can ingest
without compromising quality, not slowing down the contributors so we
can catch up with that and feel good.

Regards

On Wed, Sep 23, 2026 at 9:16 PM Patrick McFadin <[email protected]> wrote:
>
> I was waiting for this moment to hit our project and I'm glad we're here. I 
> am deeply concerned for our project and its future, as we have increasingly 
> made it difficult to contribute. I had hoped that this new era of software 
> tools powered by AI would expand the project's reach and bring more diverse 
> thoughts and ideas. This policy proposal is the exact opposite of what we 
> need. We have been sitting on a Cassandra 6 release alpha for months. We need 
> to accelerate and embrace new ways of being or be left behind. As I read that 
> policy, my first and gut level reactions:
>
>  - It comes across as elitist and class protectionism. Committer should not 
> be special but this proposal makes that designation even more sacred.
>  - It signals that our project is so fragile that only a few people "Really 
> understand it" That's some SQLite vibes right there.
>  - Trying to fix a problem that doesn't exist
>
> Sadly, i think this policy change would also exclude a lot of comitters.
>
> We aren't alone in this moment. The Linux project just went through this. You 
> can find the thread with a simple Google, but similar hard feelings were 
> being expressed "AI is going to ruin our project!", "The unwashed masses are 
> going to contribute terrible code!", "We have to protect our precious status 
> as Linux maintainers!"  Linus being Linus, was deeply invloved and they 
> adopted a super simple statement that covers all bases. Human or Human using 
> AI. “You are expected to understand and to be able to defend everything you 
> submit.”  Love that.
>
> In the larger picture, I'll restate. I'm worried for our project. In late 
> 2025(Opus 4.5 IYKYK), early 2026, AI coding LLMs turned a real corner and in 
> the hands of somebody that knows how to build software, this tool is like jet 
> fuel. Here's some examples of new projects being hyper fueled by AI coding 
> tools.
>
> Apache Iggy - Complete rust replacement of kafka. Crazy fast velocity
> Turso - Rust re-write of SQLite
> Bun - Rust re-write of itself from Zig.
>
> Think this couldn't happen to us? Already has: 
> https://github.com/ferrosadb/ferrosa. Ben is using it to power his own 
> startup, but it was him alone using a ton of local AI coding agents. He even 
> implemented Accord. Yeah...
>
> The cracks are already starting to show. There is a black market economy of 
> Cassandra patches happening now. Not going to name names or call people out,  
> but there are fixes and optimizations living in branches outside of the 
> Cassandra project. Why? I'll use myself as an example. I fixed a nasty bug I 
> ran into with TCM a few weeks ago. Wrote the tests. It passes CI and lives in 
> my personal branch. I'm sitting here really wondering if I want to go through 
> the ritual humiliation of being roasted for using AI to fix it. Me. I am 
> worried about contrinuting code the Cassandra. What the hell does that say?
>
> I have my CQLite project that I've been doing a release around once a month. 
> I would love to donate that to the Cassandra project but I wouldn't if it 
> essentially killed any progress.
>
> My larger counter proposal would be to:
>  - Adopt the “You are expected to understand and to be able to defend 
> everything you submit.” approach the Linux project has adopted.
>  - Loosen up the contributor process and our worry on trunk. Let 1000 flowers 
> bloom and bring it in.
>  - And finally, to give some people more peace of mind and open more doors, 
> adopt what other projects have done and provide more pluggability. Let new 
> ideas have an easy place to connect.
>
> We are at a fork in the road. What are we going to do? And then I have to ask 
> myself, what am I going to do as a contributor?
>
> Patrick
>
> On Wed, Sep 23, 2026 at 6:16 AM Blake Eggleston <[email protected]> wrote:
>>
>> I’m not necessarily opposed to having a policy, but so far we have some 
>> specific proposals addressing a problem statement that’s very nebulous. What 
>> is the community failing to do on its own that we’re trying to correct with 
>> policy? What outcomes are we trying to create or prevent? Having some 
>> examples and specific problems to discuss would help focus the conversation.
>>
>> On Wed, Sep 23, 2026, at 4:34 AM, Shailaja Koppu via dev wrote:
>>
>> Benedict,
>>
>> Thanks for clarifying. My concern still remains. This criteria would be 
>> difficult to define and apply consistently. What counts as “similar” scope 
>> or area, “mostly correct,” or sufficiently independent work? More 
>> importantly, how do we prevent such vague criteria from creating an informal 
>> hierarchy where some contributors work is routinely accepted while others is 
>> routinely rejected?
>>
>> If the intent is to limit AI-assisted code changes to Cassandra 
>> contributors, or to contributors who have previously worked in that 
>> component without AI, that would at least be clear and enforceable.
>>
>>
>>
>>
>> > On Sep 23, 2026, at 12:01 PM, Benedict Elliott Smith <[email protected]> 
>> > wrote:
>> >
>> > Core code changes
>> > Chris: Do you object to the first or second line you quote? Because the 
>> > first line is effectively motivation for the second line, and can be 
>> > removed (or more clearly combined). If it’s the second line, then I do not 
>> > think this is an unreasonable expectation, and we can get into a proper 
>> > debate about it.
>> >
>> > Shailaja, since you only snipped the first sentence, your concerns might 
>> > also be mostly answered by this clarification? “Minimal third-party 
>> > guidance” implies you have some concerns about the second line, but all of 
>> > our policies have some ambiguity because legalese is even worse. I don’t 
>> > think the ambiguity here would be challenging to navigate though we can 
>> > certainly refine it. This specific snippet is meant to convey an 
>> > expectation that a contributor has autonomously produced patches of 
>> > similar scope that were mostly correct, so that they have demonstrated the 
>> > level of understanding necessary to guide another party to a successful 
>> > patch (i.e. an LLM in this case).
>> >
>> >
>> > On 2026/09/23 10:54:16 Benedict Elliott Smith wrote:
>> >> Thanks everyone for your input so far. I’ll respond in brief to the main 
>> >> themes, in (mostly) separate emails so they can each have their own 
>> >> debate chain.
>> >>
>> >> Should we have a policy (Blake/Josh*/Jon/Dinesh)
>> >> I think we would all agree that LLMs represent the biggest change to this 
>> >> community (and software more generally) since its inception, and we all 
>> >> now have enough experience with the technology to have formed opinions 
>> >> about how it is best managed. We also evidently have not all arrived at 
>> >> the same conclusions. In this situation, it would be an abdication of our 
>> >> responsibilities as a management committee to not agree *some* policy.
>> >>
>> >> I intend to conduct straw polls as the discussion evolves, so if you 
>> >> prefer an alternative policy - or modifications to this policy - I would 
>> >> encourage you to make those alternative proposals.
>> >>
>> >> *Veto/Consensus (Josh)
>> >> It was fair to call out my poor use of language on this topic, so let me 
>> >> rephrase a little. The community is built on consensus, and work should 
>> >> not be merged when there are outstanding concerns to address. The 
>> >> explicit -1 should only be used rarely, because the prior expectation 
>> >> should prevent it ever being needed. I (and others) have outstanding 
>> >> concerns on LLM generated work that can only be addressed through this 
>> >> process right here, so to merge such work while maintaining the 
>> >> community’s consensus we must agree some policy.
>> >>
>> >>
>> >>
>> >> On 2026/09/23 09:58:27 Shailaja Koppu via dev wrote:
>> >>> I am strongly -1 on this
>> >>> - Core code changes made by LLM may only be proposed by contributors 
>> >>> with demonstrated expertise
>> >>> That creates a new, subjective privileged class of contributors and 
>> >>> turns a tool choice into an eligibility test. Who decides whether 
>> >>> expertise has been “demonstrated,” what counts as “minimal third-party 
>> >>> guidance,” and how could those judgments be applied consistently or 
>> >>> fairly?
>> >>>
>> >>> Apache already has a better model, anyone may contribute, trust and 
>> >>> additional repository privileges are earned transparently over time. The 
>> >>> ASF describes its communities as flat, and says that newcomer ideas have 
>> >>> as much input as those from original creators. We should not add a 
>> >>> separate, informal hierarchy in which certain people may use common 
>> >>> development tools while others may not.
>> >>>
>> >>>
>> >>>
>> >>>
>> >>>> On Sep 23, 2026, at 6:33 AM, Chris Lohfink <[email protected]> wrote:
>> >>>>
>> >>>>
>> >>>> - Core code changes made by LLM may only be proposed by contributors 
>> >>>> with demonstrated expertise
>> >>>>   - Must have produced similar patches in size, scope and area 
>> >>>> unassisted and with minimal third-party guidance
>> >>>>
>> >>>> I really don't like this one or its wording. Definitely too "the 
>> >>>> peasants are getting uppity lets build a wall". Lets not let a 
>> >>>> subjective thing like demonstrated expertise (who decides that?) be if 
>> >>>> it's ok or not. Hold the same standards for code quality and process 
>> >>>> for it all. I don't want this to be: only people on the storage team in 
>> >>>> Apple can use AI.
>> >>>>
>> >>>> Chris
>> >>>>
>> >>>> On Wed, Sep 23, 2026 at 12:16 AM <[email protected] 
>> >>>> <mailto:[email protected]>> wrote:
>> >>>>> I agree with Stefan and think this is both a reasonable and thoughtful 
>> >>>>> proposal.
>> >>>>>
>> >>>>> Here are some things I like about it:
>> >>>>>
>> >>>>> – It outlines areas where LLM usage is unambiguously useful to the 
>> >>>>> project’s developers and users.
>> >>>>> – It defines a spectrum of recommendations and cautions.
>> >>>>> – The only prohibited areas are extremely narrow and say nothing about 
>> >>>>> code at all.
>> >>>>>
>> >>>>> Some in this thread are responding as if this proposal seeks to 
>> >>>>> prohibit or sharply limit use of LLMs. In fact, it’s one of the most 
>> >>>>> open and welcoming I’ve seen for an OSS project of our size where many 
>> >>>>> are adopting policies that simply ban them entirely. I’ve re-appended 
>> >>>>> the proposal below my message as it seems to have been lost in 
>> >>>>> threaded replies, and would encourage folks to give it a second read.
>> >>>>>
>> >>>>> Some brief thoughts based on my own use of LLMs:
>> >>>>>
>> >>>>> – I find them fantastically useful for reviewing and identifying 
>> >>>>> problems that have slipped through review - primarily via Alex 
>> >>>>> Petrov’s /deep-review skill, which I have running in a VM in a loop 
>> >>>>> executing over every new commit in the project as of a few days ago. I 
>> >>>>> will be posting a few hand-authored Jira tickets based on findings 
>> >>>>> that appear legitimate to me. For now, the loop is posting them as 
>> >>>>> issue drafts for my own review on my personal fork which you can find 
>> >>>>> here: 
>> >>>>> https://github.com/cscotta/cassandra/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug
>> >>>>> – They’re great for enabling use of model checkers and formal methods 
>> >>>>> where such work would have previously been prohibitively expensive, 
>> >>>>> such as Blake’s work on a TLA+ proof of aspects of Mutation Tracking 
>> >>>>> and Benedict/Fedor’s work on a machine-checkable proof of the Accord 
>> >>>>> protocol in Lean.
>> >>>>> – They are stunning for allowing me to experiment with ideas that 
>> >>>>> would have otherwise been a summer internship’s scope of work. Some 
>> >>>>> examples include an io_uring prototype, exploring the impact of 
>> >>>>> page-aligned compressed chunk sizes, an API shim bridging the 3.x and 
>> >>>>> 4.x Java Drivers, and potential enhancements to Zstandard.
>> >>>>> – And they shine when given grunt-work that is critical to the project 
>> >>>>> but a miserable labor for humans, such as triaging, reproducing, and 
>> >>>>> root-causing flaky tests, which David Capwell now has running in a 
>> >>>>> loop to help us improve CI stability in the project.
>> >>>>>
>> >>>>> I never thought I’d be so positive on what’s possible via language 
>> >>>>> models a year ago. At the same time, I also agree that they present 
>> >>>>> challenges and risks that can be managed through thoughtful discussion 
>> >>>>> and policy. Some of the concerns that I think are important to guard 
>> >>>>> against include:
>> >>>>>
>> >>>>> – Asymmetry of effort between author and reviewers: As 
>> >>>>> token-generating machines, LLMs can generate diffs of extraordinary 
>> >>>>> size very rapidly. /deep-review is great for chewing through diffs and 
>> >>>>> identifying defects. But it should be used by the contributor 
>> >>>>> themselves to identify issues – not to replace the role of the 
>> >>>>> reviewer with more electricity. The role of the reviewers extends 
>> >>>>> beyond identifying and highlighting defects. It encompasses 
>> >>>>> architecture, harmony with the existing codebase, thinking ahead to 
>> >>>>> future evolution of the project, and replicates context on the project 
>> >>>>> as new code is committed. These functions cannot be automated away.
>> >>>>> – Hesitancy of authors to engage manually with code they have 
>> >>>>> generated: This is not specific to Cassandra, but it is a behavior 
>> >>>>> that I have seen in several “highly-electric” projects. There’s a 
>> >>>>> bimodal tendency toward code that is entirely generated or entirely 
>> >>>>> human-authored - but it is rare for someone to prepare an AI-authored 
>> >>>>> patch to take an offramp and spend a significant amount of time 
>> >>>>> refining the work by hand in an IDE. This hesitancy toward human 
>> >>>>> participation in authorship of LLM-generated code is very concerning 
>> >>>>> to me.
>> >>>>> – Harmony with the existing codebase: Due to the tunnel-vision of 
>> >>>>> context windows, LLMs are generally unaware of conventions and norms 
>> >>>>> present in codebases and very frequently reinvent concepts in a 
>> >>>>> generation turn to suit a goal without view of the project’s overall 
>> >>>>> architecture. This results in a profusion of messy and duplicated 
>> >>>>> concepts that gradually sprawl about a codebase.
>> >>>>>
>> >>>>> Again, none of these are grounds for prohibition of usage of language 
>> >>>>> models in developing the project. They’re just problems we need to 
>> >>>>> bear in mind and guard against – and I think the proposal is designed 
>> >>>>> to do just that.
>> >>>>>
>> >>>>> I’m thrilled by the potential of LLMs to improve Apache Cassandra and 
>> >>>>> we already see it happening through a vast number of issues that are 
>> >>>>> being reported and fixed. But there’s also danger in taking ATVs down 
>> >>>>> a hiking trail full of people.
>> >>>>>
>> >>>>> Regarding the prohibition on prose, I’ll simply say: I recently found 
>> >>>>> myself in a scenario where I found a Claude-authored document so 
>> >>>>> inscrutable that I piped it back into a model, directed it to rewrite 
>> >>>>> it in ASD-STE100, read it myself, and responded based on the 
>> >>>>> summarization. As a humanities grad, this is probably the worst 
>> >>>>> language crime I have committed. But it was in response to language 
>> >>>>> that was itself so idiosyncratic that it was unreadable to me in its 
>> >>>>> original form. I hope this never happens in the Apache Cassandra 
>> >>>>> project.
>> >>>>>
>> >>>>> I’ll close with a quote from an excellent article written by Colin 
>> >>>>> Breck, an engineer who works on large-scale data systems: 
>> >>>>> https://blog.colinbreck.com/i-dont-want-to-read-what-you-didnt-write/
>> >>>>>
>> >>>>> Colin wrote:
>> >>>>>
>> >>>>>> I don’t want to live in a world where you use AI to summarize 
>> >>>>>> something important into unreadable text, and then I use AI in an 
>> >>>>>> attempt to decipher it. I want to hear you, imperfections and all. I 
>> >>>>>> want your interpretation of aesthetics, beauty, quality, 
>> >>>>>> relationship, time. I want to know how you feel. I want you to cut 
>> >>>>>> through and tell me what really matters.
>> >>>>>
>> >>>>>> Intentional writing will likely become more valuable. People who 
>> >>>>>> write, and write to think, to think deeply and carefully, or to 
>> >>>>>> create, to share, or to capture something important without 
>> >>>>>> explicitly expressing it will continue to write and produce original 
>> >>>>>> work. The people who never were writers will use AI to produce lots 
>> >>>>>> of text.
>> >>>>>
>> >>>>> I hope that our culture can remain one of intentional writing and 
>> >>>>> intentional engineering. I enjoy reading the voice of the author in 
>> >>>>> comments, code, and tickets in Cassandra – the different ways we use 
>> >>>>> language based on where we grew up and how we learned English, the 
>> >>>>> translated idioms from our various backgrounds, and terse comments 
>> >>>>> that recognize the difference between code whose function is obvious 
>> >>>>> and what warrants genuine exposition. When I read code in Cassandra, 
>> >>>>> it’s a delight to recognize the author based on their writing style 
>> >>>>> before flipping on `git annotate` to reveal the origin.
>> >>>>>
>> >>>>> I’d encourage folks to re-read the original proposal below. It is very 
>> >>>>> permissive. The guidance strikes me not just as reasonable, but 
>> >>>>> genuinely important to maintaining the health of the project.
>> >>>>>
>> >>>>> – Scott
>> >>>>>
>> >>>>> =====
>> >>>>> Encouraged:
>> >>>>> - Reviewing and otherwise validating human-authored patches before 
>> >>>>> submission
>> >>>>> - Debugging, diagnosing etc
>> >>>>>
>> >>>>> Permitted:
>> >>>>> - Generating or modifying tests, scripts, tooling or any other 
>> >>>>> non-user facing changes
>> >>>>> - Minor changes to human-authored patches that are carefully reviewed 
>> >>>>> by the author
>> >>>>>
>> >>>>> Restricted:
>> >>>>> - Core code changes made by LLM may only be proposed by contributors 
>> >>>>> with demonstrated expertise
>> >>>>>   - Must have produced similar patches in size, scope and area 
>> >>>>> unassisted and with minimal third-party guidance
>> >>>>> - Core code changes made by LLM require an additional reviewer
>> >>>>> - LLM review is not a substitute for human review, and must be used 
>> >>>>> only to augment a complete and independent human understanding of the 
>> >>>>> patch.
>> >>>>>
>> >>>>> Prohibited:
>> >>>>> - All public prose must be human authored. This includes inline 
>> >>>>> comments, docs, posts to Jira etc.
>> >>>>>
>> >>>>> All LLM generated changes MUST be disclosed:
>> >>>>> - Outlined to any reviewer;
>> >>>>> - Summarised in the commit message;
>> >>>>> - Large blocks or files must be individually marked with some agreed 
>> >>>>> message like "created by <some AI>"
>> >>>>> =====
>> >>>>>
>> >>>>>> On Sep 22, 2026, at 9:13 PM, Dinesh Joshi <[email protected] 
>> >>>>>> <mailto:[email protected]>> wrote:
>> >>>>>>
>> >>>>>> On Tue, Sep 22, 2026 at 3:28 AM Benedict <[email protected] 
>> >>>>>> <mailto:[email protected]>> wrote:
>> >>>>>>>
>> >>>>>>> Restricted:
>> >>>>>>> - Core code changes made by LLM may only be proposed by contributors 
>> >>>>>>> with demonstrated expertise
>> >>>>>>>    - Must have produced similar patches in size, scope and area 
>> >>>>>>> unassisted and with minimal third-party guidance
>> >>>>>>
>> >>>>>> I am -1 on this. This sounds like gate keeping attempt. It narrowly 
>> >>>>>> limits the pool to a few people on the project that have historically 
>> >>>>>> contributed to certain parts of the codebase. This policy will 
>> >>>>>> prohibit skilled software engineers with domain expertise from 
>> >>>>>> proposing LLM assisted changes simply because they have not 
>> >>>>>> contributed to the project. This is unrealistic and a net negative 
>> >>>>>> for the project to attract talent and grow our community.
>> >>>>>>
>> >>>>>>> - Core code changes made by LLM require an additional reviewer
>> >>>>>>
>> >>>>>> Can you be more precise what is this in addition to? How many total 
>> >>>>>> reviewers do you expect and what is the purpose of additional 
>> >>>>>> reviewer? and why?
>> >>>>>>
>> >>>>>> Taking a step back - what are you trying to solve here?
>> >>>>>>
>> >>>>>> Dinesh
>> >>>>>>
>> >>>>>
>> >>>
>> >>>
>> >>
>>
>>

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