lixiasky-back

lixiasky-back / coroTracer

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A cross-language, zero-copy coroutine observability framework based on the cTP shared-memory protocol, utilizing lock-free ring buffers for ultra-low overhead state tracing.

coroutines golang-application ipc language-agnostic low-latency
19
1
100% credibility
Found Mar 04, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

coroTracer is an observability tool that traces coroutine lifecycles in applications to detect logical bugs like deadlocks and lost wakeups without impacting performance.

How It Works

1
🔍 Find the helper tool

You're frustrated because your program freezes under heavy use, and you discover coroTracer, a smart watcher for task flows inside apps.

2
🛠️ Prepare the watcher

You easily set up the lightweight watcher program on your computer so it's ready to team up with your app.

3
🚀 Start watching your app

With one simple command, you launch your program alongside the watcher, and it tracks every task's movement without any slowdown.

4
⏱️ Run your workload

You put your program through its paces with heavy tasks, while the watcher quietly notes what each small job is doing.

5
📁 Save the record

The watcher saves a detailed log of all the task activities to a simple file on your computer.

6
Choose your view
📝
Text report

Get a straightforward list highlighting stuck tasks and problems.

🌐
Visual dashboard

Open a web page with charts showing task lifecycles and threads.

7
💡 Spot the issue

You clearly see which tasks got lost or stuck waiting forever, revealing the hidden bug.

✅ Fix and celebrate

Armed with the insights, you patch the problem, and your program hums perfectly under load.

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Star Growth

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AI-Generated Review

What is coroTracer?

coroTracer is a cross-language observability framework for tracing coroutine state in M:N schedulers, built around the cTP shared-memory protocol with lock-free ring buffers for minimal overhead. You run its Go engine via CLI to launch your app—say, a C++ coroutine-heavy binary—passing env vars for automatic SDK hookup, producing JSONL traces of state transitions, activity, and addresses. Post-run, generate Markdown reports spotting lost wakeups or HTML dashboards visualizing per-coroutine timelines.

Why is it gaining traction?

It stands out by staying zero-copy and out-of-process, dodging the context switches and serialization that bloat typical tracers, while catching logical bugs like stranded coroutines that sanitizers ignore. Developers hook it with a simple promise mixin in C++20 (extensible to Rust or Zig), get interactive topology views, and profile high-load scenarios without throughput hits—the smart wakeup via Unix sockets keeps syscalls rare.

Who should use this?

Backend systems devs crafting custom coroutine schedulers in C++, Rust, or Zig, especially when debugging deadlocks, leaks, or state machine breaks under concurrency spikes. Ideal for anyone iterating on async I/O-heavy servers where traditional tools fall short on logical errors.

Verdict

Worth a spin for niche coroutine debugging—solid docs, MIT license, and CLI simplicity make early tests easy despite 19 stars and 1.0% credibility score signaling immaturity. No tests visible, so validate on non-prod first; promising base for expanding language support.

(198 words)

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