Context Engineering
6 essays tagged with Context Engineering.
Proof-Carrying Context: Why AI Agents Need More Than a Context Window
A research-grounded revision of context engineering: from relevant tokens to a replayable view of evidence, conflicts, omissions, and decision sufficiency.
Production Prompt Engineering in 2026: From Instructions to an Evaluated Contract
A deep production guide to prompt engineering: lean instruction design, stable cacheable prefixes, tool and output contracts, reasoning budgets, datasets, robustness tests, versioning, rollout gates, and a 90-day implementation roadmap.
Agent Memory Should Be Compiled at Recall, Not Replayed From Storage
What MemHarness teaches us about reconstruction, negative transfer, source state, and compiling production agent memory against current evidence, policy, and authority.
What Production Agent Runtimes Actually Teach ContextOS: Twelve Laws of a Governed Harness
The strongest production agent runtimes converge on twelve architectural laws: compile context, persist state, separate authority from containment, make side effects resumable, treat approvals as typed interrupts, and promote learning only through evidence and replay.
AI Agent Memory Is Broken: Designing Multi-Layer Memory for Production AI Agents
A production guide to AI agent memory architecture: designing long-term memory for AI agents across working, episodic, semantic, procedural, and organizational layers. Why RAG is not memory, why vector databases are not memory, and how governed, situation-aware memory prevents memory poisoning in enterprise AI agents.
Context Engineering in Production
Why most agent failures are not model failures — they are context failures — and what changes when context becomes a versioned, testable, replayable contract.