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title: Launch HN: Bullet (YC S26) – A Faster Coding Agent
description: Bullet is a new coding agent built by a team frustrated with slow agent runs while using Claude Code daily. It aims to route simple work faster, read only...
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# Launch HN: Bullet (YC S26) – A Faster Coding Agent

**[Hacker News](https://daily.dev/sources/hn)** · 1 min read · 0 upvotes · 0 comments

## Summary

Bullet is a new coding agent built by a team frustrated with slow agent runs while using Claude Code daily. It aims to route simple work faster, read only relevant context, run independent tools in parallel, and stop runaway loops. The team now uses it internally and is sharing it publicly.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.codewithbullet.com>

## Community take

How the wider developer community reacted, aggregated from 2 discussions and 88 comments across hackernews (as of 2026-09-13).

**TL;DR:** Reaction is split between genuine interest in a speed-focused coding agent and pointed skepticism about the launch benchmark, the crowded agent-harness space, and some early rough edges (privacy toggle, forced commit attribution, download flow), though the founders responded actively to nearly every critique.

**Sentiment:** 25% positive · 30% mixed · 45% skeptical

**The case for**

- Several people found it noticeably faster for real projects and appreciated responsive founders shipping fixes based on feedback.
- The integrated browser for viewing changes and solid Linux support were called out as useful.
- Framing speed/context-hygiene as the core bottleneck to solve was seen as a reasonable problem to tackle.

**The pushback**

- The headline benchmark was called out as likely saturated and not a meaningful signal of real improvement.
- Some questioned why the router used in the live product wasn't included in the benchmark, calling the comparison confusing.
- Multiple commenters were unconvinced the harness offers anything mechanically different from prompting/skills in existing tools like OpenCode or Claude Code.
- One person found a dark pattern: an 'allow pasting' trick to skip signup plus a default-on chat-sharing setting.
- The landing page was criticized as hard to read with distracting animations and tiny fonts.
- Forced self-attribution on commits and no offline/guest mode were flagged as blockers for some users.
- General doubt about the value of yet another agent harness in an already crowded, high-churn space.

**By community**

- hackernews (heated): A detailed benchmark-methodology dispute and 'is this even needed' skepticism sit alongside genuinely enthusiastic users and an engaged founder responding point-by-point to nearly every criticism.

**Hottest debate:** Whether the launch benchmark (and the omission of the live router from it) is a fair, meaningful measure of the harness's actual speed/quality advantage over existing tools.

**Open questions**

- What concretely makes this harness faster than achieving the same context/tool-management tricks via prompting or skills in existing agents like Claude Code or OpenCode?
- How will it perform on harder, less saturated benchmarks like Terminal-Bench, CursorBench, and SlopCodeBench once published?
- Will support for MCP, ACP, and optional commit co-authorship attribution be added?

**Highlights**

> 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!
> — [seizethecheese on hackernews · 2 comments](https://news.ycombinator.com/item?id=49289059)

> 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? Removing context from history invalidates KV cache. 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, also addressable with prompting? I'm genuinely confused about what is mechanically different in this harness that could not be accomplished with a prompt/skill another harness.
> — [yetanotherjosh on hackernews · 1 comments](https://news.ycombinator.com/item?id=49293755)

> 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 quality Enabled by default.
> — [apimade on hackernews · 1 comments](https://news.ycombinator.com/item?id=49283583)

> 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
> — [esafak on hackernews · 1 comments](https://news.ycombinator.com/item?id=49290178)

> 35% faster than swe-mini-agent, nice. You say this is due to somehow parallelizing operations? I'm using a custom harness based on swe-mini-agent (actually its little brother, their tutorial [0]) and found it way faster than codex (for small tasks) despite being "just bash" in a while loop. The main difference is that I do the opposite of what you said, i.e. I do dump the context in the prompt. You don't need to grep for what's right in front of you :) But my repos are small (often smaller than Claude's system prompt!), and I have a script that dumps an "outline" (e.g. function headers and top level vars). I had an even smaller harness for surgical edits but it was a bit too fiddly and I missed the "let it poke around and figure stuff out" mode of full agentic ones. What I do miss from that old one though is that it could edit several files simultaneously, in one LLM call. Maybe someday I'll add that back :) That being said, within a few months everyone who cares about speed will be on Cerebras etc., which will make even the slow harnesses way faster than mine and yours! (I've tested them already and it's insane how fast it is...) [0] https://minimal-agent.com/
> — [andai on hackernews · 1 comments](https://news.ycombinator.com/item?id=49294820)

**Source threads**

- [hackernews](https://news.ycombinator.com/item?id=49283063) · 93 points · 76 comments
- [hackernews](https://news.ycombinator.com/item?id=49173799) · 9 points · 12 comments

## Similar posts on daily.dev

- [Bullet · Fast, by design.](https://daily.dev/posts/bullet-fast-by-design--ptnvdjshx) · Hacker News · 0 upvotes · 0 comments
- [bb: an IDE where your coding agents work together](https://daily.dev/posts/bb-an-ide-where-your-coding-agents-work-together-h6km1494m) · Flavio Copes · 1 upvotes · 0 comments
- [Build Effective Internal Tooling with Claude Code](https://daily.dev/posts/build-effective-internal-tooling-with-claude-code-qc9botejb) · Towards Data Science · 0 upvotes · 0 comments

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#claude-code](https://daily.dev/tags/claude-code)

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