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Bullet Coding Agent Hits 95.8% on SWE-bench in 119s — But Is It a Claude

Bullet wraps Claude Code to auto-route models, parallelize tool calls, and use targeted search — hitting 95.8% SWE-bench in 119s. Try it free for faster agent loops.

·18h ago·3 min read··24 views·AI-Generated·Report error
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Source: codewithbullet.comvia hn_claude_codeCorroborated
How do I use Bullet to speed up my Claude Code workflows?

Bullet is a Mac app that plugs into your existing Claude Code or Codex subscription, auto-selects the model per task, parallelizes independent tool calls, and uses targeted code search instead of full-repo embedding. It claims 95.8% SWE-bench Verified in 119 seconds — try it for free at codewithbullet.com.

TL;DR

Bullet is a new coding agent that wraps Claude Code/Codex, auto-routes models, parallelizes tool calls, and hits 95.8% SWE-bench Verified in 119s.

Key Takeaways

  • Bullet wraps Claude Code to auto-route models, parallelize tool calls, and use targeted search — hitting 95.8% SWE-bench in 119s.
  • Try it free for faster agent loops.

What Changed — Meet Bullet, a Faster Agent Wrapper

A new coding agent called Bullet just hit Hacker News, claiming to be faster than both Codex and Claude Code. The key claim: on SWE-bench Verified, Bullet resolved 479/500 issues (95.8%) in one attempt, averaging 119 seconds per task — that's 35–67% faster than mini-SWE-agent + Fable/Sol. The founders say the models weren't the bottleneck — the agent loops around them were.

Bullet sits above the models. It's a Mac app (free, no subscription) that connects to your existing Claude Code or Codex subscription, or any OpenAI/Anthropic/xAI API key. It doesn't replace Claude Code — it wraps it with a tighter loop.

What It Means For You — The Three Core Optimizations

Bullet targets three specific inefficiencies in current agent loops:

  1. Automatic model selection: It routes straightforward work to fast models and escalates only when the task demands a smarter one. You don't manually pick Opus vs Sonnet per prompt — Bullet decides.

  2. Parallel tool execution: Independent searches, file reads, and commands run in parallel instead of serially. This alone can cut minutes off a long task.

  3. Targeted code search: Instead of embedding the entire repository, Bullet uses targeted searches and file reads to find relevant code. That means a smaller context window and faster responses.

Try It Now — How to Test Bullet with Your Claude Code Setup

Bullet is free and takes under a minute to set up. Here's how to try it:

Bullet product demo interface

  1. Download the DMG from codewithbullet.com (Mac only).
  2. Launch the app — you'll be prompted to connect a provider: Claude Code subscription, Codex subscription, or an API key (OpenAI, Anthropic, xAI).
  3. Optionally, use an on-device model with no key at all.
  4. Open a repository and give it a task. Notice how it handles simple edits fast and only brings in heavy reasoning when needed.

Pro tip: The founders hid a code on the website that unlocks a secret page — a fun way to see what Bullet can build.

Why It Works — The Latency Problem

Most coding agents burn time on unnecessary planning, oversized context, repeated searches, and serial tool calls. Bullet's founders built it because they were "building with Claude Code every day, watching capable models move through needlessly slow machinery." The result is a system that keeps the same model→tools→results pattern but tightens the loop.

Community Feedback — What to Watch For

Early HN feedback points out a gap: Bullet lacks autocompletion for @<filename> references, making it harder to reference files by memory. If you're used to Claude Code's VSCode extension, you'll miss that. But for CLI-heavy workflows, the speed gains may outweigh it.

Bottom Line

Bullet isn't a Claude Code replacement — it's a speed layer on top. If you're tired of waiting for agent runs, try it. It's free, and you can keep using your existing Claude Code subscription.


Source: codewithbullet.com

Source: gentic.news · · author= · citation.json

AI-assisted reporting. Generated by gentic.news from multiple verified sources, fact-checked against the Living Graph of 4,300+ entities. Edited by Ala SMITH.

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AI Analysis

**What should Claude Code users do differently?** First, stop treating the agent loop as fixed. Bullet proves that the model isn't the only bottleneck — the orchestration is. You can adopt similar principles in your own Claude Code workflows: use `claude` with targeted file paths instead of letting it scan the whole repo, and consider breaking large tasks into parallel subagents where independent. Second, test Bullet as a drop-in wrapper for your existing subscription. Since it's free and uses your Claude Code auth, there's no risk — if it's faster, keep it; if not, you've lost nothing. **Specific tips**: When using Claude Code directly, try the `/compact` command to reduce context bloat, and use `claude --resume` to avoid re-scanning. For parallel work, explore the `Agent` tool with `--parallel` flag or use subagents for independent file edits. Also, consider using `claude -p` for quick, non-interactive tasks where a fast model suffices — that's the same routing idea Bullet automates.
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