AI Coding - Page 2

GLM-5.2 context engineering gives coding agents architecture, dependencies and repository memory before complex edits.

GLM-5.2 codebase work still needs repository structure, dependency context and review boundaries, even when long context is available.

Cowart vs ChatGPT compares visual annotation workflows with chat-based image editing for precise revisions.

Cowart use cases include UI mockup edits, product visuals, annotated screenshots and creative iteration in Codex.

Cowart tutorial: install the Codex plugin, annotate images, capture context and request precise visual edits.

Claude Opus knowledge graph workflows add sourced repository relationships beyond raw context, with freshness, governance, and review boundaries.

Claude Opus context engineering: prepare architecture, dependency, decision, and test evidence before multi-file coding-agent work.

Claude Opus 5 has a large context window, but reliable codebase work still needs repository structure, dependency evidence, tests, and review boundaries.

Claude Agent SDK vs Claude Code: compare the interactive coding client and programmable runtime by ownership, controls, integration and pilot fit.

Build a production AI agent evaluation framework with scenarios, traces, safety checks, regression controls and decision-ready metrics.