
Probe
The demo is not the security review.
Probe launched on June 3, 2026 with 2 votes.
What it does
Probe checks AI-built apps from the outside for common deployment mistakes: leaked keys, loose CORS, missing security headers, exposed admin or debug routes, public storage, weak webhook handling, and LLM endpoints that can be abused or run up spend.
Find what your AI shipped broken.
These are the eight things that go wrong most often in apps built with AI tools. Patch the /api/chat handler so anonymous requests fail before any AI service call is made. Requirements: - Return 401 for requests without a verified session. - Authorize the active workspace before forwarding to the AI service. - Preserve existing behavior for authenticated users. - Add regression coverage proving unauthenticated POST /api/chat returns 401 and does not reach the AI service. Copy prompt Verified Anonymous traffic now fails with 401. Real users keep working, and your model bill is protected. Before: POST /api/chat · no auth → 200 OK After: POST /api/chat · no auth → 401 Unauthorized Pricing Pick…from runprobe.com
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TrailsJan 2026 · trails-red.vercel.app · ▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…


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