8 docs tagged with "agents"

Portable, on-demand workflow packages for coding agents -- what they are, how they differ from rules and project memory, how to use them across tools, and how to author your own with examples.

What makes an LLM system an agent, how tool use works, the canonical multi-agent patterns, and the MCP and A2A protocols that connect agents to tools and to each other.

Using LLM coding agents inside an engineering workflow -- the alignment-before-generation methodologies (SPDD, architect-as-orchestrator), architecture patterns that suit AI (deep modules, vertical slices), and the economics driving adoption.

The context window as a finite budget, why prompt engineering grew into context engineering, context rot, and the long-horizon techniques -- compaction, structured note-taking, sub-agents, and just-in-time retrieval.

Approval gates, escalation, and accountability patterns for agents and LLM features that act in the real world -- maker-checker, confidence thresholds, and audit trails.

Always-on context for coding agents -- AGENTS.md, CLAUDE.md, Cursor rules, and how to split conventions from on-demand skills.

Getting reliable JSON and schema-bound responses from LLMs -- native structured output modes, validation and repair loops, and when structure beats free-form prose.

A map of the AI application tooling landscape -- orchestration frameworks, connectivity protocols, vector databases, evaluation and observability, and the LLMOps discipline that ties them together.