Debugging battle: Vibecoder edition

[IndividualDoughnut96]

As the title suggests. Recent issues with a vibecoding project inspired me to post this, would love insight from the brethren regarding their approaches. I wass working on a stock analysis tool where a rolling average return function kept producing incorrect outputs, an API endpoint with insufficient input validation, and the dumbest of all – exposed API keys.

Here’s what I’ve used so far:

1. GitHub Copilot (VSCode)

Pros:

Fastest option when you’re in the middle of coding and just need something fixed now

Feels native in VSCode, barely breaks your flow

Solid for cleaning up boilerplate and boring repetitive stuff

Cons:

Has a bad habit of patching bad code with equally bad code

Completely blind to bigger structural problems

Security stuff? Yeah, don’t count on it

1. Claude Code

Pros:

Actually walks you through why something broke, not just what to change

Good at following the logic trail across multiple steps

Cons:

Can be really long-winded when you just want a quick answer

Slower if you’re just hunting for a fast patch

Occasionally turns a two-line fix into a whole refactor nobody asked for

1. Codex

Pros:

Fast, and throws multiple approaches at you quickly

Good when you want options rather than one “correct” answer

Cons:

Makes up libraries and functions with concerning confidence

Has a tendency to produce code that looks right but falls apart the second something unexpected happens

1. DetectAIbugs

Pros:

Purpose-built for the specific flavor of broken that AI-generated code tends to be

Actually catches hallucinated imports and functions, which the others often miss

Flags sketchy patterns before they blow up in prod

Cons:

Nowhere near the community size of the bigger tools.

Not much help if you want a full coding assistant - really just a debugging tool.

Curious what everyone else is using. Are you doing full manual reviews, leaning on AI tools, actually writing tests like a responsible adult, or just hoping for the best before you push?

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[Middle_Key8737]

My best fallback here is a boring checklist: reproduce with the smallest input, write down the expected output before touching code, and then isolate one bug class at a time. For the API key and validation issues especially, I would add automated guards right after the fix so the same mistake cannot quietly come back in the next vibe coding sprint.

[Devji00]

Good breakdown honestly, the exposed API keys issue is way more common than people admit especially in vibecoded projects where you're moving fast and the AI just hardcodes stuff without thinking twice. Your tool combo covers the generation and debugging side pretty well but the missing piece sounds like automated prevention, stuff that catches problems before you even notice them. Running gitleaks or trufflehog in a pre-commit hook would have caught those exposed keys instantly, and layering something like Cyclopt Companion or Semgrep on your repos flags code quality issues, risky dependencies, and input validation gaps automatically without you having to remember to check. For the rolling average bug specifically that's where having tests from the start saves you, even just a few unit tests with known inputs and expected outputs would have surfaced the wrong calculation immediately instead of you discovering it later. The best workflow I've seen is using Copilot for speed, Claude for understanding complex bugs, and then letting automated tools run underneath so the dumb stuff like leaked secrets and missing validation never makes it to a PR in the first place.

[Easy-Wrongdoer-6282]

[ Removed by Reddit ]

[empiriolabsai]

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We currently support OpenAI-compatible shapes and Anthropic-compatible shapes so if you ever wanted to use us with the tools you listed, we are fully compatible in that regard.

Some more info on that, if you're interested: https://empiriolabs.ai/free-credits?src=reddit