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Can AI help you build useful apps without settling for slop? This guide shows a human-led workflow for taking a product idea through requirements, feature-level implementation, API design, and verification. I use Orbit, a Slack-style team chat demo, as a case study.
Most MCP "readiness checklists" are really just a list of things that would be nice to have. They tell you to add logging, add auth, add tests — true, but not decision-grade. None of them answer the question a lead engineer actually asks before a release: given everything we know right now, do ...
Coding agents write, refactor, and open pull requests at a pace humans can't match. The instinct is to stuff safety into the system prompt: "never push to main," "don't touch secrets," "always run the tests. " That feels like control.
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My OpenAI CODEX account went rogue and from a simple request took the autonomous decision to launch 826 parallel agents / threads without any authorization on my side and without reporting any result of any sort but consuming nearly 2,146 trillions tokens, consuming a total of roughly USD 78,000 ...