This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
landmine
Lockfile in. Known bugs out. Before your agent edits.
Your agent never checks GitHub for bugs in your exact versions. landmine does: it reads your lockfile, finds open issues filed against those versions, and gives the agent the bug and the workaround via AGENTS.md, a pre-edit hook or MCP. Free and open source.
It started with my coding agent writing code that matched the docs but broke on the version I actually had installed. Every time, the bug was already on GitHub, filed against that exact version, often with a workaround in the comments. The agent just never looked.
landmine reads your lockfile, finds the open GitHub issues filed against the exact npm and PyPI versions you pin, and puts them where your agent will see them: a short known-bugs section in AGENTS.md / CLAUDE.md, a pre-edit hook for 20 agents, and an MCP server.
I wanted proof it helps, so I built a benchmark from bugs filed after the model's training cutoff. Claude Sonnet 5.5 went from 86% to 99% with landmine. The surprise: when I gave it web search or the Context7 docs MCP instead, it never used them once in 84 sessions.
Honest caveats: it's my own benchmark, only Claude Code was tested, and about 3 in 4 results are confirmed real when checked by hand.
It's free and MIT. What does it find in your lockfile? I'd especially love to hear about the false positives.
About landmine on Product Hunt
“Lockfile in. Known bugs out. Before your agent edits.”
landmine was submitted on Product Hunt and earned 6 upvotes and 3 comments, placing #31 on the daily leaderboard. Your agent never checks GitHub for bugs in your exact versions. landmine does: it reads your lockfile, finds open issues filed against those versions, and gives the agent the bug and the workaround via AGENTS.md, a pre-edit hook or MCP. Free and open source.
On the analytics side, landmine competes within Open Source, Developer Tools and GitHub — topics that collectively have 633.1k followers on Product Hunt. The dashboard above tracks how landmine performed against the three products that launched closest to it on the same day.
Who hunted landmine?
landmine was hunted by Devansh Ranjan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of landmine including community comment highlights and product details, visit the product overview.
Devansh Ranjan
Hey Product Hunt 👋 I'm Devansh, I built landmine.
It started with my coding agent writing code that matched the docs but broke on the version I actually had installed. Every time, the bug was already on GitHub, filed against that exact version, often with a workaround in the comments. The agent just never looked.
landmine reads your lockfile, finds the open GitHub issues filed against the exact npm and PyPI versions you pin, and puts them where your agent will see them: a short known-bugs section in AGENTS.md / CLAUDE.md, a pre-edit hook for 20 agents, and an MCP server.
I wanted proof it helps, so I built a benchmark from bugs filed after the model's training cutoff. Claude Sonnet 5.5 went from 86% to 99% with landmine. The surprise: when I gave it web search or the Context7 docs MCP instead, it never used them once in 84 sessions.
Honest caveats: it's my own benchmark, only Claude Code was tested, and about 3 in 4 results are confirmed real when checked by hand.
Try it with no install:
→ type any package at landmine.tech
→ or add the hosted MCP: https://landmine.tech/mcp
→ or in a repo: npx landmines scan
It's free and MIT. What does it find in your lockfile? I'd especially love to hear about the false positives.