Category
Articles filed under Best Practices in the Journal.
7 articles
07 articles on this page
Review each overnight Gemini 4 Argon proposal against repository tests, consumer contracts and a reserved workload before deciding what to merge.
Build a decision-ready review queue for AI-generated code with a clear task contract, inspectable evidence, visible gaps, and a named human decision.
Claude Code Tasks is useful local orchestration, but it is not a shared system of record. This refreshed guide maps what Tasks stores, how it differs from sessions, memory, and artifacts, and when teams need an MCP-readable project board.
More AI coding agents only help when ownership, state, and proof survive outside a single session. This refreshed guide shows how Agiflow uses CLI runners, workflow locks, atomic claims, device identity, and artifacts to coordinate agent work across machines without duplicate branches or lost handoffs.
AI coding agents generate better frontend code when the codebase gives them reusable components, Storybook states, design tokens, scaffolds, validation gates, and durable task context they can retrieve instead of reinventing.
AI coding agents do not need a longer chat transcript to finish multi-task features. They need a durable work unit that keeps scope, tasks, acceptance criteria, artifacts, decisions, and locks outside the model context window and available through scoped MCP access.
