Alternatives
Products that do what Heckle – Send a bug's full browser context to your coding agent does
- 1EW
2012 · alpha.easel.io
- 2

- 3AR
2019 · github.com
- 4

- 5NB
2021 · napkin.io
- 6GY
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…
Nov 2025 · sonarly.dev
- 7BT
2011 · bugherd.com
- 8

- 9FI
2017 · finch.io
- 10

- 11LY
Jul 2026 · github.com
- 12

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- 14CF
2015 · codepicnic.com
- 15GD
2018 · gigadiff.com
- 16ST
2014 · snapbugz.com
- 17AB
Hi HN, Zidan here. I’ve been experimenting with AI-assisted debugging and noticed a recurring gap: most tools optimize for agent-led exploration (ex: giving claude code a browser to click around and try to reproduce an issue). But in many cases, I've already found the bug myself. What I actually want is a way to hand the agent the exact context I just saw - without retyping steps, copying logs, or hoping it can reproduce the behavior. So we built FlowLens, an open-source MCP server + Chrome extension that captures browser context and lets coding agents inspect it as structured, queryable…
Nov 2025 · github.com
- 18Y1
2020 · petersolopov.github.io
- 19HG
2020 · findingmyhtmlgoddess.com
- 20AB
Hey everyone, My friend and I built a simple bug fixing app that listens for alerts/issues from Sentry, contextualizes it against your codebase, and any other data sources you wish to connect (right now we support Notion, Google Docs, and Slack), and deploys an ai agent to write a PR for review in Github or Gitlab to solve the bug. Our current demo shows the end-to-end process for a trivial bug fix, but we have been testing it with open source python repos like http-pie, comparing how our agent solves a bug compared to a human engineer and it gets fairly close. We are working on adding…
2023 · resolvd.ai
- 21BY
2017 · github.com
- 22RR
Jul 2026 · reachpad.dev
- 23WC
2017 · habemus.io
- 24DD
2020 · damnshort.com
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