跳到主要內容
AI News HubLIVE
來源內容 · 翻譯待補全2 分鐘閱讀

待翻譯:Launch HN: Bullet (YC S26) – A Faster Coding Agent

文章摘要

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Hi HN! We’re Adi and Alex, founders of Bullet, a faster coding agent. Bullet started in a senior year dorm room at Yale. We were fresh out of working at AppLovin and Citadel, so naturally, we just knew we were going to…

來源Hacker News AI作者: adi1
待翻譯:Launch HN: Bullet (YC S26) – A Faster Coding Agent
回報錯誤

更正管道尚未開通,可先複製下方文章資訊留存。

查看更正說明
直接讀正文

AI 服務暫時不可用,以下為來源正文,待恢復後補全翻譯。

Hi HN! We’re Adi and Alex, founders of Bullet, a faster coding agent. Bullet started in a senior year dorm room at Yale. We were fresh out of working at AppLovin and Citadel, so naturally, we just knew we were going to be startup gods. We were going to use our skills optimizing stock pricing calculation speeds and agent document context to take over the world. Lo-and-behold, that year, Bullet was an AI hedge fund, a browser-use agent, synthetic financial data (oof), a mobile IDE, and a bunch of other things. We wanted to build something people wanted, but it seemed like everything we built was just terrible, useless, or both. So, we decided to do something completely different, something completely out of the blue, something that no one had ever done before. Solve a problem we actually had. Over the course of six pivots, we suffered. Throughout all of our adventures, one final boss kept getting in our way. Claude Code and his little brother Codex. We were spending hours waiting for coding agents like Claude Code and Codex, and got so frustrated to the point that I downloaded the Claude Code whip. We had spent months of time waiting for six codebases-worth of useless coding agent work. Lightbulb moment. There’s nothing more noble than destroying the institutions! Let’s take on Claude Code and Codex, we can do it! Piece of cake! And so, Bullet started off as a side project. We used the Claude Code to improve the Claude Code: 1. Model routing. Do you regret giving a task to Fable when it could have literally been done by Sonnet? 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. 3. Aggressive context hygiene. Tool output is bounded, stale screenshots disappear, we don’t re-read files…the garbage never floods the model. 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. 5. The Flash. We prayed to Barry Allen for speed. And thank the Flash, he gave us speed! On SWE-bench Verified, Bullet resolved 479/500 (95.8%) in one attempt, averaging 119s per task, 35–67% faster than mini-SWE-agent + Fable/Sol depending on task. Full results and methodology here (https://www.codewithbullet.com/blog/benchmark-results.html) Eventually we started using it every day and never went back. Listed above were just some of the things about Claude Code that frustrated us the most, but we are constantly optimizing every day (look at that, maybe we did learn something from our jobs). So do you suffer? We are here for you. We understand. Here’s the video demo (https://www.youtube.com/watch?v=rWVmG5fRKgE) Seriously speaking though, we hope that you guys try out Bullet if you are suffering with speed as much as we were, and we hope it brings you joy, rainbows, and faster responses. And if it’s terrible, let us know it’s terrible (we’re masochists btw)! We'll be in the comments all day, you can also contact us at [email protected]. Thanks guys for listening to the larp :) try out codewithbullet.com. Again, that’s codewithbullet.com. Again, that’s codewi… P.S: we hid a code on the website, see if you can unlock the secret page at the footer, all built with Bullet

展開要點與分析

文章情報

工程師進階

要點

  • AI 服務暫時不可用,系統已先保留來源內容與降級後設資料。
  • Hi HN! We’re Adi and Alex, founders of Bullet, a faster coding agent. Bullet started in a senior year dorm room at Yale. We were fresh out of working at AppLovin and Citadel, so n…

技術影響

可能影響 Agent 架構、工具呼叫、工作流自動化和產品整合。

要點與分析由自動化流程生成,可能有誤,請結合原始來源核實。