Measuring an AI Development Tool Rollout
Dashboards can credit an AI coding tool for gaps that predate it. This guide covers pilot design, paired speed and quality measures, review cost, adoption, power, and gates.
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Coding Agent Permissions and Sandboxing
A coding agent turns model output into actions. This guide shows how isolation, scoped credentials, argument-level tool rules, audit, and limits bound what a steered agent can do.
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Testing and Reviewing AI-Generated Code in CI
Generated code can pass its own tests and still be wrong. Build CI checks that stay independent of the generator, and define what a human must approve.
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Integrating AI Coding Tools with Repositories
Before an AI coding tool touches enterprise code, decide what it can read, what leaves the machine, how long copies persist, and how you would audit it afterward.