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Building CodeGuard AI: One test passed for the wrong reason.
I’m testing my AI-powered GitHub PR reviewer, and I found a problem worth sharing.
I gave it a failing test:
The test failed, as expected.
CodeGuard detected the failure correctly. But its AI suggested changing the assertion to:
Now it passes. But the underlying issue hasn’t been fixed — the test has simply been weakened.
That’s one of the challenges of building AI code-review tools: a fix that passes a test isn't necessarily a fix that solves the problem.
I’ve logged this issue and am continuing to test the other features before fixing related problems together.
I'm building CodeGuard AI for developers who want more reliable AI-assisted code reviews.
Explore the source code: [https://javacoder716.gumroad.com/l/codeguard-ai ]
What checks would you expect before an AI reviewer recommends a code fix?
#BuildInPublic #AI #Java #CodeReview
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Same gradient. Same cards. Same “Get started.”
It’s not a coincidence.
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→ “Supercharge your workflow” says nothing about the problem you solve.
→ A generic page feels like a weekend project. People don’t trust weekend projects with their data or their card.
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Write the headline yourself. Name your user and their problem in plain words.
Pick one thing only your product does and make it the first thing people see.
Replace the three feature cards with a real screen of your product.
AI can build the page in minutes. Deciding what it should say is still your job.
What’s the first thing you’d change on your own landing page?
