Top AI Product

Every day, hundreds of new AI tools launch across Product Hunt, Hacker News, and GitHub. We dig through the noise so you don't have to — surfacing only the ones worth your attention with honest, no-fluff reviews. Explore our latest picks, deep dives, and curated collections to find your next favorite AI tool.


GitLost: a public GitHub issue can trick GitHub’s AI agent into leaking private repos

GitLost isn’t a product you install — it’s a vulnerability Noma Labs found in GitHub’s new Agentic Workflows, the Claude/Copilot-driven agents that run tasks autonomously inside GitHub Actions. And it’s the cleanest example yet of how agentic AI breaks security assumptions.

Open an issue, steal the code

No exploit, no credentials, no code. An attacker opens a plain GitHub issue in any public repo belonging to an org that uses Agentic Workflows, and hides instructions in the body in everyday English. The agent reads it, walks into the org’s private repos, and posts what it finds back as a public comment. Source code, internal keys, CI/CD secrets — whatever the agent’s token can reach.

Why the guardrails don’t hold

One word did it. Prefixing the malicious command with “Additionally” made the model treat it as a follow-on task instead of refusing. Noma says this class of injection can’t be fully patched in code — you’re asking a model to distinguish trusted instructions from attacker text it can’t tell apart. GitHub got the report and hasn’t even shipped the docs-level warning. HN lit up at 179 points; The Register, DarkReading and everyone else piled on.


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