Tag
Articles tagged Software Development in the Journal.
25 articles
05 articles on this page
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.
A July 2026 refresh of Claude Code internals, separating official docs, first-party network traces, third-party analysis, and practical inference across CLAUDE.md, skills, hooks, subagents, plugins, and MCP.
AI coding assistants drift when rules live only in broad prompts. Use before-edit guidance, after-diff validation, and durable Agiflow task state to keep generated code inside your architecture.
AI coding agents do not scale through longer instructions alone. Use scaffolds for repeated structure, architecture checks for drift, and shared state for durable work.
Use fakes, recorded fixtures, mock servers, and live evals to keep LLM app tests fast without hiding real model, prompt, and provider failures.
Showing 21 to 25 of 25 articles