Disclaimer: I am a Co-Founder of Armature (YC P26) which sells growth services to dev tools. This study is part of our broader work on how to influence coding agents choices and get products picked.
To understand how agents pick tools we measured close to 17k sessions on an environment where agents run exactly like in the real world, on various repositories, talking to different personas (vibe-coder, junior or senior engineers) in different sizes of companies.
All the results are now public and we'd love to know what findings surprise you the most, here are a few we found interesting:
- Claude Code rarely searches the web while Codex almost always does it and Cursor sits in the middle.
- Coding agents disagree more frequently than they agree.
- Some players (LangChain, Supabase, Netlify, Paypal, Adyen) are almost always mentioned in their categories but never chosen.
- Modifying repository context can change the pick entirely.
If you feel like digging, all the traces are there and we probably missed interesting learnings so let us know what you find!
Not sure I got your question right but if you are wondering for your own coding agent then I guess the answer would be a skill?
Here what I meant by "how to influence coding agents choices and get products picked" is from a vendor PoV, making sure any developer x codebase in the world asking for a tool in your category gets your tool recommended and implemented by the coding agent.
Obviously you can ask the agent to use a specific tool, but the point of this article is about what they choose when the human on the other end has no opinion/taste/clue.
The data was cool. Then I tried to tap on one of the other tabs. “This content is easier to read while full screen!” - Ok I’m game. “Hey this is what makes armature special!” - I don’t care, I’m here to look at data, not onboard onto some random platform. It took ages to find the tiny “skip tour” button, hiding in black on black text. Then it gave me another popup, which I dismissed without reading. Then the full screen modal was visible but it was horizontally misaligned - the left edge was cut off and the right of my phone screen was all white. I closed the tab with great prejudice. (Safari on iOS if you wanna try reproducing it)
I’m sure you - or Claude - built something you’re proud of. But I left your website frustrated.
Hey, thanks for the feedback, the leaderboards aren't displaying well on mobile indeed, we are currently shipping a fix that should help with that. Thanks anyway!
> Claude Code rarely searches the web while Codex almost always does
I’m trying to understand why they are opposite. I think it is true, I find myself giving a secondary prompt to Claude to “research this” and only then will it fetch. Codex is bang on fetching already.
Gemini CLI (at least mine) does web research all the time. I've noticed it hitting my own pages (I have to ask very specific things). I don't have any global or project rules to encourage that behavior.
Hi. I appreciate that you need to make rent, but if your business is basically "we do growth hacking and SEO tricks on models and get them to use products that aren't actually best for the job", you are scum.
You are perpetuating shitty practices that have hurt developers for years now. Part of the reason people use AI is because of how useless search is due to the previous generation doing the same kind of thing you propose.
Looking at this, maybe in the future, the tools that AI prefers will become the mainstream. Even now, the tools that AI gives the highest priority to are the ones people already choose. There might be a concentration effect toward the tools that AI selects
Definitely! But about concentration I'm not so sure, there are ways to counter this effect so in the end it will be a fight like SEO is today. What is certain though is that getting recommended by coding agents will be a top prio for all dev tools.
Yeah sounds kind of like the equivalent of SEA for AI agents (AEA?) except that it’s sneakier since agents can act without you noticing.. anyway this is in the hands of the labs
Can we not encourage the same strip-mining and ad and SEO bullshit that previously ruined the last decade+ of the Internet?
A large portion of the utility of AI is the barren ad-driven growth-hacked hellscape search has become. Don't encourage the next generation of these businesses, I beg of everyone.
And while these sponsorship shenanigans are the tech business’s bread and butter, sponsored answer manipulation seems fundamentally more insidious. Even in a larger-scale measurement like this one, there’s no way to tell if any of that is sponsored, legitimately good recommendations, or the technical flavor of the goblins problem.
I built this for my own company. Armature is on to something. You start by analyzing the choices agents would make for various use cases and then glean what, if anything, you might do to start tilting the agents in the direction of your own product and away from the competitor.
Selling to agents is similar to selling to humans. You dump money into marketing to make sure agents find your solution around every corner for every use case you’re well suited to.
Doesn’t this ignore that the future of ads will probably just be some type of affiliate revenue going back to the agent for any product they help recommend.
The Edit tool has been notoriously tricky to get right - it seems they have maybe branched out but I think morphllm started specifically with the pitch that they trained a small model to be good at editing files - most of their testimonials are about that
But I think it’s mostly a solved problem in frontier models and the bash tool usage is more likely an attempt to be more token efficient - I’ve noticed it used for making mechanical bulk edits that would be numerous “edit” tool uses otherwise
I keep telling people that we are living in the golden age of AI - like the first year or two of google. It is all down hill as these companies push for profit and lock-in.
[OP] screm | 6 hours ago
Disclaimer: I am a Co-Founder of Armature (YC P26) which sells growth services to dev tools. This study is part of our broader work on how to influence coding agents choices and get products picked.
To understand how agents pick tools we measured close to 17k sessions on an environment where agents run exactly like in the real world, on various repositories, talking to different personas (vibe-coder, junior or senior engineers) in different sizes of companies.
All the results are now public and we'd love to know what findings surprise you the most, here are a few we found interesting: - Claude Code rarely searches the web while Codex almost always does it and Cursor sits in the middle. - Coding agents disagree more frequently than they agree. - Some players (LangChain, Supabase, Netlify, Paypal, Adyen) are almost always mentioned in their categories but never chosen. - Modifying repository context can change the pick entirely.
If you feel like digging, all the traces are there and we probably missed interesting learnings so let us know what you find!
vivifkjo | 5 hours ago
By tool I mean mcp server, cli, etc.
[OP] screm | 5 hours ago
watusername | 5 hours ago
[OP] screm | 5 hours ago
josephg | 5 hours ago
I’m sure you - or Claude - built something you’re proud of. But I left your website frustrated.
[OP] screm | 5 hours ago
kouteiheika | 5 hours ago
[OP] screm | 5 hours ago
[OP] screm | 4 hours ago
hbarka | 3 hours ago
I’m trying to understand why they are opposite. I think it is true, I find myself giving a secondary prompt to Claude to “research this” and only then will it fetch. Codex is bang on fetching already.
edoceo | 3 hours ago
arcanemachiner | 18 minutes ago
ai_critic | 3 hours ago
You are perpetuating shitty practices that have hurt developers for years now. Part of the reason people use AI is because of how useless search is due to the previous generation doing the same kind of thing you propose.
Please do something else with your life.
jdw64 | 5 hours ago
[OP] screm | 5 hours ago
ex-aws-dude | 5 hours ago
[OP] screm | 5 hours ago
edoceo | 3 hours ago
pupppet | 4 hours ago
Onavo | 3 hours ago
folkrav | 2 hours ago
paulhebert | 2 hours ago
BikiniPrince | 2 hours ago
drivingmenuts | 5 hours ago
[OP] screm | 5 hours ago
hbarka | 3 hours ago
ai_critic | 3 hours ago
A large portion of the utility of AI is the barren ad-driven growth-hacked hellscape search has become. Don't encourage the next generation of these businesses, I beg of everyone.
edoceo | 3 hours ago
What can man do against such reckless ~hate~ money?
folkrav | 2 hours ago
If we felt like we couldn't trust AI because of slop, soon we won't be able to trust it because it'll push whatever pays them to do it.
DrewADesign | an hour ago
ttul | 3 hours ago
Selling to agents is similar to selling to humans. You dump money into marketing to make sure agents find your solution around every corner for every use case you’re well suited to.
tiffanyh | an hour ago
appplication | 31 minutes ago
hexapus | 50 minutes ago
akurilin | 2 hours ago
luciana1u | 2 hours ago
mpalmer | an hour ago
thedreammachine | 2 hours ago
negativefactori | an hour ago
IgorPartola | 2 hours ago
rcfox | an hour ago
pjm331 | an hour ago
But I think it’s mostly a solved problem in frontier models and the bash tool usage is more likely an attempt to be more token efficient - I’ve noticed it used for making mechanical bulk edits that would be numerous “edit” tool uses otherwise
ryeguy | an hour ago
nijave | an hour ago
elzbardico | an hour ago
nijave | an hour ago
Some of these are absolutely wild. Surprised Strands didn't even get mentioned for agent frameworks.
natnatenathan | 13 minutes ago