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Give your coding agent production bug context

Details

External ID
45909113
Source
HN
Company
—
Product
Give your coding agent production bug context
Website domain
sonarly.dev
Launched
Nov. 13, 2025
Cohort
—
Upvotes
5
Upvotes percentile
0.0982532751091703
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Hi all, I've been working on this devtool for 1 month now for myself at first and I'll be curious to see if it's something that could work for you as well. So basically, it detects bugs in your website in production from real user sessions, an llm clusters them by severity and it provides the complete context of the issue that you can copy-paste into your coding agent to fix it in one go. Why did I create it? I've been shipping fast with tools like Cursor and Claude Code. The problem? When bugs happen in production, these tools have zero context about what actually went wrong. Sentry is powerful but way too complex - I just want to copy context and paste it into my copilot. How to install it? Basically it's a JS tracker to add to your website I'm very curious about your ideas about this tool or similar tools available if you know some of them. Looking for feedback on the whole concept and UX. Is this something you'd actually use? What's missing? Happy to share more technical details for those interested. Thanks!

Enrichment

Theme
browser automation and scraping for AI
Vertical
—
Function
Agent / copilot
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
production context for coding agents
Manually corrected
False

Could you build this?

Partial While LLM clustering and the web frontend are standard, building a low-overhead production session replay and telemetry SDK that captures full context without leaking sensitive data or crashing production apps requires specialized instrumentation engineering.

What it would actually take: A production version requires a lightweight client-side recording SDK (like rrweb / custom DOM mutation observers) with privacy masking, a high-throughput streaming ingestion pipeline (Kafka/ClickHouse), and an orchestration service that correlates telemetry, clusters errors, and packages context for an LLM agent to generate PRs.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 285 launches clear the similarity bar, closest 8 shown.

Attention rank: #279 of 286 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 12 days after the earliest competitor.

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