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Article URL: https://www.evlog.dev/

Comments URL: https://news.ycombinator.com/item?id=47224023

Points: 1

# Comments: 0

Here are hints and the answer for today's Wordle for March 3, No. 1,718.

Here are some hints and the answers for the NYT Connections puzzle for March 3 #996

Here are hints and answers for the NYT Strands puzzle for March 3, No. 730.

I posted logcat.ai here several months ago when it was mostly an idea.

Since then I left my job and have been building full-time. 400+ organic signups, 3 paying customers across telecom, automotive, and device management. Time for a proper Show HN.

The problem: I've spent 13 years in Android OS internals (AOSP, LineageOS, founding engineer at Esper) and the debugging workflow has never meaningfully improved. You get a 100MB bugreport zip with 20+ files and spend hours ctrl+F'ing timestamps trying to correlate logcat with kernel logs with dumpsys with radio logs. Telecom engineers have it worse because they're also juggling QXDM modem traces. Automotive teams pile VHAL and CAN bus on top of all that.

What logcat.ai does: Upload the files you already have and get a root cause analysis with a correlated timeline across layers (app, framework, HAL, kernel, modem). No SDK, no agents, nothing to install.

How people actually use it: Telecom engineer uploads modem traces alongside a bugreport to figure out why VoLTE calls drop during handovers. MDM company uploads bugreports from fleet devices to triage field issues without reproducing them. Delta mode: upload two bugreports (working vs broken), get a structured diff of what changed without all the noise. Deep Research: autonomous multi-pass investigation that follows causal chains across log sources.

What's interesting technically: The hard part is preprocessing. A 200MB bugreport needs heavy denoising and intelligent chunking before an LLM can reason over it. Every other log type comes with its own challenges and then there is a mix of all of them. We use AI for human readable representation of the analysis and interaction. Currently supports bugreports, logcat, dmesg, tombstones, ANR traces, modem log exports from QXDM/QCAT or Mediatek's/Samsung's modem log outputs.

Comments URL: https://news.ycombinator.com/item?id=47223994

Points: 1

# Comments: 0

Article URL: https://plato.stanford.edu/entries/chinese-room/

Comments URL: https://news.ycombinator.com/item?id=47223986

Points: 2

# Comments: 0

Article URL: https://www.youtube.com/watch?v=VOX8TNDoA78

Comments URL: https://news.ycombinator.com/item?id=47223985

Points: 1

# Comments: 0

Hi HN, I’m Pranav (founder). I design hardware and kept seeing a weird split: Engineers don’t trust AI to design full PCBs (hidden assumptions, stackups, manufacturing constraints, EMI/return paths, and the cost of being even slightly wrong - why tools like Flux still aren’t widely trusted for full designs). But customers keep asking ChatGPT to “review” boards. They paste screenshots/Gerbers and expect a real sign-off. It often sounds right, but it can hallucinate or miss what actually causes respins. Lesson building this: the hard part isn’t more AI, it’s deterministic, reproducible detection with explicit assumptions, with AI only to explain findings and suggest fixes. Would love critique: what’s worth catching pre-fab, what’s too noisy, and what would make you trust this as a release gate.

Comments URL: https://news.ycombinator.com/item?id=47223919

Points: 1

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Article URL: https://github.com/tongro2025/Argus

Comments URL: https://news.ycombinator.com/item?id=47223910

Points: 1

# Comments: 0

A little weekend project, made so I can pause/play/rewind directly on the piano, when learning a song by ear.

Comments URL: https://news.ycombinator.com/item?id=47223863

Points: 4

# Comments: 0

In this clip from the latest Weaviate Podcast, Doug Turnbull explains why simple lexical tools like grep work so well for agents: The transparent input-output relationship lets the agent reason about why results matched, adjust its strategy, and plan its next query.

https://x.com/weaviatepodcast/status/2028570908978262458

Comments URL: https://news.ycombinator.com/item?id=47223834

Points: 1

# Comments: 1

Article URL: https://a16zcrypto.substack.com/p/agents-arent-tourists

Comments URL: https://news.ycombinator.com/item?id=47223820

Points: 1

# Comments: 0

Article URL: https://dev-tools.devtoolsite.workers.dev/

Comments URL: https://news.ycombinator.com/item?id=47223803

Points: 1

# Comments: 0

Hey HN!

I found myself constantly needing to pass complex codebases to LLMs for things like PRD generation, etc. Every time I paste a codebase into Claude I pay tokens for files the model doesn't care about. But if I only paste the relevant files, the model loses context about how everything fits together. It's an annoying tradeoff.

llmdoc is a small CLI that adds short LLM summaries for each file and intelligently updates them when the hash changes.

llmdoc annotate # Adds summaries for each file (respects .gitignore and you can configure it to ignore more)

llmdoc dump # Generates a handy "at a glance" summary to give to an LLM for complete context of your codebase.

There's also llmdoc check for CI — exits 1 if any annotation is stale or missing, no API key needed.

It supports Anthropic and OpenAI, works with 50+ languages, respects .gitignore, and has a --dry-run flag that estimates cost before touching anything.

A known issue is rate limiting for LLM providers, but because it all works with hashes, you can just rerun a few times to get it working.

Let me know what you think!

Comments URL: https://news.ycombinator.com/item?id=47223802

Points: 1

# Comments: 0

Here are the highly rated series you should stream on HBO Max, plus new additions in March.

Article URL: https://ashwch.com/no-code-by-hand-agentic-platform-acceleration.html

Comments URL: https://news.ycombinator.com/item?id=47223801

Points: 1

# Comments: 1

Article URL: https://joeconway.io/2026/02/12/maybe-ai-ads-are-a-good-thing.html

Comments URL: https://news.ycombinator.com/item?id=47223440

Points: 1

# Comments: 0

Article URL: https://www.turalgulmammadov.com/files/firstproof.pdf

Comments URL: https://news.ycombinator.com/item?id=47223438

Points: 1

# Comments: 0

Article URL: https://github.com/Chris1220-cmd/ci-fix-coach

Comments URL: https://news.ycombinator.com/item?id=47223420

Points: 1

# Comments: 0