7 Checks to Run Before Trusting AI-Generated Code
Traditional bugs announce themselves. A typo breaks the build, a missing import throws at startup, a type mismatch fails compilation.
Traditional bugs announce themselves. A typo breaks the build, a missing import throws at startup, a type mismatch fails compilation.
The Clone Wave: Rebuilding Familiar Interfaces Instead of Reinventing Them For two decades, the free software playbook was consistent. If you wanted an alternative to Photoshop, Illustrator or Word, you built something new: a different interface, a different file format, a different mental model.
Feature checklists are the easiest way to compare AI coding assistants and the least useful. A tool can top every benchmark table and still fight you on the third hour of a legacy refactor.
Agents as configuration files The core design decision behind Docker Agent is that an agent is a configuration file, not a program. You describe what the agent should do, which model it should use, and what tools it can reach, all in YAML (or HCL for teams that prefer it).
AI research and scientific papers translated for working engineers: the method before the result, the baseline flagged when it is weak, and a link to the artifact every time.
The research that actually changes what you build.
The paper trail