frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

Ladybird Browser July Update

https://ladybird.org/newsletter/2025-07-31/
25•net01•1h ago•0 comments

Cerebras Code

https://www.cerebras.ai/blog/introducing-cerebras-code
290•d3vr•9h ago•119 comments

Hardening mode for the compiler

https://discourse.llvm.org/t/rfc-hardening-mode-for-the-compiler/87660
83•vitaut•5h ago•10 comments

Coffeematic PC – A coffee maker computer that pumps hot coffee to the CPU

https://www.dougmacdowell.com/coffeematic-pc.html
175•dougdude3339•9h ago•40 comments

Weather Model based on ADS-B

https://obrhubr.org/adsb-weather-model
149•surprisetalk•2d ago•24 comments

JavaScript retro sound effects generator

https://github.grumdrig.com/jsfxr/
57•selvan•3d ago•12 comments

Robert Wilson has died

https://www.theartnewspaper.com/2025/08/01/robert-wilson-playwright-director-artist-obituary
44•paulpauper•4h ago•11 comments

At 17, Hannah Cairo solved a major math mystery

https://www.quantamagazine.org/at-17-hannah-cairo-solved-a-major-math-mystery-20250801/
298•baruchel•15h ago•133 comments

Ethersync: Peer-to-peer collaborative editing of local text files

https://github.com/ethersync/ethersync
109•blinry•3d ago•19 comments

I couldn't submit a PR, so I got hired and fixed it myself

https://www.skeptrune.com/posts/doing-the-little-things/
241•skeptrune•14h ago•139 comments

The Rickover Corpus: A digital archive of Admiral Rickover's speeches and memos

https://rickovercorpus.org/
46•stmw•6h ago•10 comments

Ask HN: Who is hiring? (August 2025)

181•whoishiring•16h ago•212 comments

Yearly Organiser

https://neatnik.net/calendar/
21•anewhnaccount2•3d ago•8 comments

Native Sparse Attention

https://aclanthology.org/2025.acl-long.1126/
109•CalmStorm•11h ago•15 comments

Does the Bitter Lesson Have Limits?

https://www.dbreunig.com/2025/08/01/does-the-bitter-lesson-have-limits.html
127•dbreunig•11h ago•63 comments

Why leather is best motorbike protection – whilst being dragged along concrete

https://www.youtube.com/watch?v=xwuRUcAGIEU
13•lifeisstillgood•1d ago•0 comments

Researchers map where solar energy delivers the biggest climate payoff

https://www.rutgers.edu/news/researchers-map-where-solar-energy-delivers-biggest-climate-payoff
89•rbanffy•11h ago•46 comments

Anthropic revokes OpenAI's access to Claude

https://www.wired.com/story/anthropic-revokes-openais-access-to-claude/
206•minimaxir•9h ago•66 comments

Launch HN: Societies.io (YC W25) – AI simulations of your target audience

92•p-sharpe•19h ago•49 comments

Show HN: Draw a fish and watch it swim with the others

https://drawafish.com
837•hallak•4d ago•216 comments

Sources of Truth

https://cutlefish.substack.com/p/tbm-369-sources-of-truth
6•kiyanwang•3d ago•0 comments

The tradeoff between human and AI context

https://softwaredoug.com/blog/2025/07/30/layers-of-ai-coding
16•softwaredoug•2d ago•0 comments

Replacing tmux in my dev workflow

https://bower.sh/you-might-not-need-tmux
263•elashri•22h ago•291 comments

Ergonomic keyboarding with the Svalboard: a half-year retrospective

https://twey.io/hci/svalboard/
96•Twey•15h ago•51 comments

Ask HN: Who wants to be hired? (August 2025)

79•whoishiring•16h ago•191 comments

Make Your Own Backup System – Part 2: Forging the FreeBSD Backup Stronghold

https://it-notes.dragas.net/2025/07/29/make-your-own-backup-system-part-2-forging-the-freebsd-backup-stronghold/
102•todsacerdoti•4d ago•4 comments

Our Farewell from Google Play

https://secuso.aifb.kit.edu/english/2809.php
261•shakna•22h ago•107 comments

Google shifts goo.gl policy: Inactive links deactivated, active links preserved

https://blog.google/technology/developers/googl-link-shortening-update/
219•shuuji3•14h ago•158 comments

Twentyseven 1.0

https://blog.poisson.chat/posts/2025-08-01-twentyseven.html
32•082349872349872•9h ago•3 comments

Self-Signed JWTs

https://www.selfref.com/self-signed-jwts
101•danscan•13h ago•63 comments
Open in hackernews

Show HN: TraceRoot – Open-source agentic debugging for distributed services

https://github.com/traceroot-ai/traceroot
34•xinweihe•14h ago
Hey Xinwei and Zecheng here, we are the authors of TraceRoot (https://github.com/traceroot-ai/traceroot).

TraceRoot (https://traceroot.ai) is an open-source debugging platform that helps engineers fix production issues faster by combining structured traces, logs, source code contexts and discussions in Github PRs, issues and Slack channels, etc. with AI Agents.

At the heart are our lightweight Python (https://github.com/traceroot-ai/traceroot-sdk) and TypeScript (https://github.com/traceroot-ai/traceroot-sdk-ts) SDKs - they can hook into your app using OpenTelemetry and captures logs and traces. These are either sent to a local Jaeger (https://www.jaegertracing.io/) + SQLite backend or to our cloud backend, where we correlate them into a single view. From there, our custom agent takes over.

The agent builds a heterogeneous execution tree that merges spans, logs, and GitHub context into one internal structure. This allows it to model the control and data flow of a request across services. It then uses LLMs to reason over this tree - pruning irrelevant branches, surfacing anomalous spans, and identifying likely root causes. You can ask questions like “what caused this timeout?” or “summarize the errors in these 3 spans”, and it can trace the failure back to a specific commit, summarize the chain of events, or even propose a fix via a draft PR.

We also built a debugging UI that ties everything together - you explore traces visually, pick spans of interest, and get AI-assisted insights with full context: logs, timings, metadata, and surrounding code. Unlike most tools, TraceRoot stores long-term debugging history and builds structured context for each company - something we haven’t seen many others do in this space.

What’s live today:

- Python and TypeScript SDKs for structured logs and traces.

- AI summaries, GitHub issue generation, and PR creation.

- Debugging UI that ties everything together

TraceRoot is MIT licensed and easy to self-host (via Docker). We support both local mode (Jaeger + SQLite) and cloud mode. Inspired by OSS projects like PostHog and Supabase - core is free, enterprise features like agent mode multi-tenant and slack integration are paid.

If you find it interesting, you can see a demo video here: https://www.youtube.com/watch?v=nb-D3LM0sJM

We’d love you to try TraceRoot (https://traceroot.ai) and share any feedback. If you're interested, our code is available here: https://github.com/traceroot-ai/traceroot. If we don’t have something, let us know and we’d be happy to build it for you. We look forward to your comments!

Comments

thatrandybrown•11h ago
I like the idea of this and the use case, but don't love the tight coupling to openai. I'd love to see a framework for allowing BYOM.
zecheng•10h ago
Yes, there is a roadmap to support more models. For now there is a in progress PR to support Anthropic models https://github.com/traceroot-ai/traceroot/pull/21 (contributed by some active open source contributors) Feel free to let us know which (open source) model or framework (VLLM etc.) you want to use :)
44za12•8h ago
Why not use something like litellm?
zecheng•8h ago
That's also one option, we will consider add it later :)
Onawa•4h ago
It's been 2.5 years since ChatGPT came out, and so many projects still don't allow for easy switching of the OPEN_AI_BASE_URL or affiliated parameters.

There are so many inferencing libraries that serve an OpenAI-compatible API that any new project being locked in to OpenAI only is a large red flag for me.

xinweihe•4h ago
Thanks for the feedback! Totally hear you on the tight OpenAI coupling - we're aware and already working to make BYOM easier. Just to echo what Zecheng said earlier: broader model flexibility is definitely on the roadmap.

Appreciate you calling it out — helps us stay honest about the gaps.

ethan_smith•3h ago
Adding model provider abstraction would significantly improve adoption, especially for organizations with specific LLM preferences or air-gapped environments that can't use OpenAI.
lmeyerov•3h ago
I'm curious -- let's say we have claude code hooked up to MCPs for jaeger, grafana, and the usual git/gh CLIs it can use out-of-the-box, and we let claude's planner work through investigations with whatever help we give it. Would TraceRoot do anything clever wrt the AI that such as a setup wouldn't/couldn't?

(I'm asking b/c we're planning a setup that's basically that, so real question.)