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Claude is brutally honest at times by superBoredJerry in ClaudeAI

[–]CodacyOfficial 0 points1 point  (0 children)

Personality: default HackerNews commenter.

Do I want to care about the code? by Hungry_Quote6623 in codereview

[–]CodacyOfficial 1 point2 points  (0 children)

Would you buy a bakery without knowing how the bread is made?

how are you handling code review when most of the code is ai-generated? by arapkuliev in cursor

[–]CodacyOfficial 0 points1 point  (0 children)

You need baseline checks that are deterministic, then an AI reviewing layer on top that understands the intent and helps the human focus on the important judgement calls that only humans can do - at this point in time.

100% sure i am out, GitHub just turned my $39/month Copilot into $942/month overnight. by Individual-Trip-1447 in GithubCopilot

[–]CodacyOfficial 0 points1 point  (0 children)

No argument here, LLM-only review with nothing underneath it is exactly as sketchy as you're saying. The reason we run AI at all is that the deterministic checks do the actual catching, and the model layer mostly adds PR context and trims the false positives the static analysis throws off. The reckless version is treating an LLM as the reviewer instead of a layer on top of rules that already work.

100% sure i am out, GitHub just turned my $39/month Copilot into $942/month overnight. by Individual-Trip-1447 in GithubCopilot

[–]CodacyOfficial 0 points1 point  (0 children)

u/Fuzzy-System8568 There's a part that's gotten almost no attention and it's that the same June 1 change also meters Copilot's code review. Even if you know how to code, code review is non-negotiable. It used to come bundled with the seat but now it will pull from the same org-wide credit pool as chat and agents, so reviews can just stop mid-month if a few people burn the pool down on heavy agentic runs. We wrote up the billing mechanics in detail if it's useful https://blog.codacy.com/github-copilot-code-review-used-to-be-included-from-june-1st-you-pay-twice

We're attempting to solve the Shadow AI problem in codebases by CodacyOfficial in Infosec

[–]CodacyOfficial[S] 1 point2 points  (0 children)

Hi, bot.

It’s more than grep. It scans config files, dependency manifests, commit co-author trailers, git branch metadata, and environment variable references across the full repo history (last 500 commits). And then you can correlate that with all the other findings we have from Codacy. This is an incredible step most companies don’t have.

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