The six skills of agentic coding every developer needs to master

AI coding is presented as a new stage in programming abstraction, moving from binary and assembly through high-level deterministic languages to agentic systems that translate natural-language intent into code using large language models. While these tools can accelerate implementation, their probabilistic, context-limited nature can produce incorrect or unsupported outputs, making careful prompting, context selection, and verification important. Weave’s AI Skills framework evaluates the observable process of AI-assisted engineering rather than only final code, assessing whether users guide agents effectively and retain responsibility for consequential decisions. Its six areas are planning, verification, AI context operations, agent parallelization, collaboration, and ownership, which together describe how people set direction, provide relevant information, coordinate tasks, test results, and judge whether outputs are reliable. The production scoring approach rates human contributions across these skills as Great, Acceptable, Bad, or Not demonstrated, with an emphasis on conversation history, evidence, and engineering judgment.

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