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Comments (53)

• yetanotherjosh
  Can someone explain how this actually can go faster than other harnesses?1. Model routing. Do you regret giving a task to Fable when it could have literally been done by Sonnet?This is the one thing that I can understand.2. Targeted code + context search. We think embedding the whole repo is dumb. We also think sticking the whole context (or compressed context) in chat is dumb. So we do faster and better greps over both.Is this just a different system prompt? Why would other harnesses not be able to do it this way given instructions to do so?3. Aggressive context hygiene. Tool output is bounded, stale screenshots disappear, we don’t re-read files…the garbage never floods the model.Existing harnesses already don't re-read files that have not changed. And content that is already in the context window is cached tokens and doesn't add significant latency, what am I missing?4. Efficient turns. Batch independent investigation, make one surgical edit, then perform one focused verification. Internal measurement showed 16% fewer round trips and 27% lower cost.Isn't this just a specific sub-agent strategy? Tool calls are already executed in parallel in many harnesses.I'm genuinely confused about what is mechanically different in this harness that could not be accomplished with system instructions in another harness.
• karanraina
  I use codex cli. It doens't have a UI for linux. I use opencode for that but it doens't work that well with the new 5.6 model suite from openai. Codex is both faster and better. I would have loved if there was a way to use a GUI that worked like codex. Gave this a try. I think this might be it.Please consider atleast adding MCP support if you can. That'll help
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  seizethecheese
  This is a promising direction! Unfortunately, I think the benchmark result here is essentially meaningless.I recently discovered this same lesson the hard way. I was trying to get a multi-agent system I was building to improve upon GPQA Diamond scores (system here: http://pellmell.ai). No matter how hard I tried, I could not get any lift. When Fable 5 dropped, it also did not improve upon Opus, and I realized my mistake. The benchmark was saturated!Now, looking at the result here, I see a similar pattern. Fable is not better than Opus, and the score is ~95%. Notably, this post omits which subagent is being used. Why? An intellectually honest way to tell if this thing really works would be to run that agent and report its score and cost as well.Going back to my GPQA Diamond lesson, you can see here how a saturated leaderboard behaves https://artificialanalysis.ai/evaluations/gpqa-diamond. Fable gets 92.6% for $0.22 per task while several models score higher for $0.01. I could easily publish a router that “enhances Fable on GPQA Diamond” showing improved score for lower cost, just by implementing a router that picks the model at random!
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  ojr
  harnesses are becoming the new tech stack, I created my own and will compare it to how bullet operates, I’ve also built and deployed iOS and Android apps with my tool. When you have built something with the tool, other than the tool, it’s stronger proof.
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  apimade
  Skip signup:Cmd+Option+I > Console > 'allow pasting'const onboarding = document.querySelector('#onboarding'); const app = document.querySelector('#app'); onboarding.style.setProperty('display', 'none', 'important'); app.inert = false; app.removeAttribute('aria-hidden'); document.querySelector('#prompt')?.focus();Also, warning:# Share chats with Bullet — helps us improve model routing and answer qualityEnabled by default.
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  0kk33
  Congrats on the launch. I can't find which model providers are supported? Are you calling the claude-code CLI directly and make bullet usable with anthropic subscriptions like orca or herdr?I guess however this is a harness and it needs to connect to the API?
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  myshapeprotocol
  Focusing on execution speed for coding agents is the right bottleneck to tackle. Exciting launch.
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  hmokiguess
  > P.S: we hid a code on the website, see if you can unlock the secret page at the footer, all built with BulletIs it even hidden when your AI ends up tagging it with `aria-label="Hidden secret code"`? Lol. Fun mini game.
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  esafak
  I think this adds no value. I would stick to OpenCode.Things I would value: high-fidelity visualization (bonus points for Figma-like visual edits), good tool use (don't force me to tell the model), token efficiency, resource efficiency. Things that are not problems:* Routing: OpenCode predefines subagents that you can set to appropriate models. * Search: there are AST and embedding-based search MCPs. I use https://github.com/DeusData/codebase-memory-mcp
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  etchalon
  Since I can't get this thing not to annotate its commits with itself as an author, I can't use it.That should be an option, not forced.
• FergusArgyll
  They shoot through walls!
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  retropragma
  does your harness support ACP?
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  AlexRisio
  This is going to be so helpful!
• anon
  undefined
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  arthurdls
  Critical for the future of AI native products. Congrats on the launch!
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  drxcliu
  It just works like magic!
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  tontinton
  Are you freaking kidding me with YC throwing money at something like this? I guess I can fund raise just by having built https://maki.sh, and months ahead of other founders too...
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  docheinestages
  Your landing page is very hard to read. The font size is literally 10px for some content, while animations distract the reader.Dear YC, please force the startups to dedicate some of the 500k funding for standard web design.
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  lucasdimarco
  I recently switched over to using primarily Bullet for my projects and the speed of it makes it very nice to get projects off the ground quickly and work properly. I also found that Adi and Alex make updates very regularly based on some of the feedback i've submitted to their feedback tab. Good work on this product guys! I'm excited to see how it develops in the future.