Agent engineering
Agent engineering
Articles on agent engineering for teams building AI agents that act in real apps.
- Agent engineering
12 ways AI agents misuse tools, and how to fix each
Twelve tool-calling failure modes, from hallucinated arguments to retry storms and prompt injection, each with its symptom and a harness-level fix.
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Agent engineering
Context engineering for agents: what to keep in the window
Context engineering for AI agents: select what goes in the window, compact history, trim tool results, use sub-agents and order prompts so caching works.
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Agent engineering
How to design tool schemas that AI agents use correctly
Design tool schemas for AI agents: naming, descriptions as prompts, enums, idempotency and helpful errors, with a before and after JSON schema example.
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Agent engineering
MCP explained: how models call tools, and where it breaks
MCP (Model Context Protocol) explained for builders: how clients and servers exchange tools, transports, auth, session URL risks, context bloat and versioning.