LetMeCheck.ai
The blood test for AI-generated codebases
182 followers
The blood test for AI-generated codebases
182 followers
We learnt from our users that- shipping with AI is easy, shipping confidently is hard. LetMeCheck is the blood test for your codebase- helping founders, agencies, freelancers, and vibe coders detect hidden bugs, vulnerabilities, complexity, and technical debt. Generate custom AI skill packs for your coding agents, improve code quality, reduce rework and token costs, and track measurable improvements with every scan.
AI code → Quality issues → Skills → Better AI → Better code
This is the 2nd launch from LetMeCheck.ai. View more
LetMeCheck.ai
Launching today
The easiest health checkup for your codebase. Like a blood test for your code — get a full diagnostic report, catch hidden bugs, vulnerabilities, and code quality issues in minutes.
We give your agent skills, not pills!
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LetMeCheck.ai
How does it actually detect the hidden stuff - is it running static analysis, LLM-based review, or some combo of both under the hood?
LetMeCheck.ai
@asyabuldukatas The code audit report is generated using industry standard tools like Sonar. This issues are then analysed and represented in human readable format.
commitify.me
seems like strong to delve deep into security. But the what’s the difference between a skill that checks security + fable 5 vs your app?
LetMeCheck.ai
@mehdigreefhorst Very good question.
A security skill is a narrow guardrail: it tells your AI to watch for vulnerabilities. LetMeCheck scans the full health of your codebase — security, reliability, maintainability, and complexity — then generates a custom skill file tailored to your repo's actual patterns and technical debt.
Fable 5 is a powerful but expensive general model. LetMeCheck doesn't replace your coding agent — it supercharges the one you already use with codebase-specific context. In fact, pair the skill file we generate with a lower-cost model, and you can get Fable 5-like results without the Fable 5 price.
So the difference is: security is just one part of the picture, and we make your existing agent smarter for your specific code, so you don't need to pay for a bigger, pricier engine.
The custom skill generation is the interesting part. Most code-quality tools produce a report the developer has to internalize and remember to apply next time. Piping the diagnostic back into the agent as project-specific skills is a more honest loop, the agent produced the fragility, the agent gets the fix.
Building MotionFy solo with Cursor, the pattern I keep hitting isn't obvious bugs (those get caught fast) but subtle drift, the codebase slowly starts violating conventions I established in month one because the agent doesn't remember them and I don't re-prompt them. That's the class of debt that gets expensive later, and it's exactly what a project-specific skill pack should catch.
Curious about the closed-loop metric side, when you rescan and detect "measurable improvement," what's the definition? Reduction in specific issue types, LOC of hotspot code, or something else? Trying to figure out if the skill packs actually train the agent or just prevent recurrence of the last problem.
ran it against a side project and it flagged a sneaky sql injection i had missed in a rush. the skill pack idea is clever, feels like a real feedback loop instead of a one-off linter.
LetMeCheck.ai
@srammoa There you go! Thanks for giving it a try!
Yes, intention is to make it valuable - identify and fix!