christian-bromann

christian-bromann / ZeitZeuge

Public

A deepagent to witnessing slowdowns in your test runs.

zeitzeuge.dev agent ai performance v8
17
1
100% credibility
Found Feb 20, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ZeitZeuge uses AI to analyze web page loads and Vitest test suites by capturing runtime data and suggesting precise code optimizations.

How It Works

1
🔍 Discover ZeitZeuge

You hear about a friendly tool that spots why your websites or tests feel slow.

2
📦 Install quickly

Grab it with one simple command—no hassle.

3
🔑 Connect smart helper

Link your AI buddy so it can think and suggest fixes.

4
Choose what to check
🌐
Website page

Enter your page address and let it watch a real visit.

🧪
Test suite

Drop it into your test setup and run tests like always.

5
🧠 AI digs in

It quietly gathers clues and uncovers hidden slowdowns.

6
📊 See the issues

Get a clear list of problems with simple explanations.

✅ Fix and fly

Apply the ready-to-use suggestions—your site or tests zoom faster!

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Star Growth

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AI-Generated Review

What is ZeitZeuge?

ZeitZeuge is a TypeScript deepagent that witnesses slowdowns in frontend page loads and Vitest test runs. Fire up the deepagent CLI GitHub tool with `npx zeitzeuge http://localhost:3000` to capture V8 heap snapshots, Chrome traces, and runtime events in one go, then get AI findings with code-level fixes. For tests, its Vitest plugin profiles app code hotspots post-run, outputting a Markdown report via LangChain deepagent on GitHub.

Why is it gaining traction?

It beats manual Chrome DevTools by feeding parsed traces into specialized LangGraph deepagent GitHub subagents—memory, blocking, patterns—that read source via virtual filesystem and suggest drop-in fixes. Deepagent Abacus AI GitHub fans dig the autonomous exploration; no more guessing call stacks or leaks. Outputs focus your code, ignoring test noise.

Who should use this?

Frontend devs debugging LCP/TBT on deployed sites, or test engineers with Vitest suites >2s where app logic (loops, allocations) hides behind setup overhead. Suits deepagent desktop GitHub tinkerers chasing GC pressure or listener leaks in Node-heavy runs.

Verdict

Solid evals via LangSmith prove the deepagent catches real slowdowns, but 1.0% credibility score and 12 stars mean it's alpha—test coverage strong, docs crisp. Plug into Vitest for quick wins; contribute if page-load perf is your jam.

(187 words)

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