Stop guessing your AI cost while vibe coding!
Summary
A tool to help developers accurately track AI costs while coding, eliminating guesswork.
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CodeBurn
CodeBurn is a tool that shows where your AI coding spend actually goes, helping developers track and analyze AI-related costs.
How are you actually predicting AI costs before they hit your invoice?
A developer shares the hidden cost variables that cause AI bills to exceed estimates, including reasoning model chain-of-thought tokens, multimodal per-image charges, and function calling system tokens, and asks the community how they predict costs upfront.
the expensive part of vibe coding isn't the retries, it's the context you drag into each one
A developer reveals that the real cost driver in AI-assisted debugging sessions is the accumulated context per retry, not the number of retries, and introduces an open-source tool called codeburn to analyze session costs.
I have no idea how people vibe code without spending thousands of dollars every monty. Any tips?
A developer shares frustration about OpenAI Codex CLI consuming 1.5M tokens in minutes on a game project, questioning how to use AI coding tools affordably and asking for tips.
The biggest trap I've hit doing "vibe coding" as someone who's never written code
A non-engineer shares that the biggest pitfall in AI-assisted 'vibe coding' isn't prompting but verifying whether an AI fix truly solves the root cause or just patches a specific case, leading to fragile code. Offers practical tips like asking if a fix is general or special-cased, and maintaining a living design doc.