content: 8-article Reference Architecture series - #16
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Add comprehensive article series on production agent systems: 1. The Three Jobs of an Agent Harness — Context curation, guardrails, memory infrastructure. LangChain's +26% improvement with zero model changes. 2. Why 1M Token Windows Fail — Three failure modes: noise accumulation, instruction collision, attention decay. Curated signal beats raw capacity. 3. The 85/15 Planning Ratio — Agents should spend 85% of compute on planning and 15% on execution. Most systems invert this ratio. 4. Structured Compaction — The five-stage compaction pipeline: Ingest → Filter → Rank → Compact → Inject. The missing layer between retrieval and the LLM. 5. Role-Based Context Dispatch — Agents need multiple personalities. Roles are configuration, not prompts. 6. The Knowledge Graph as Agent Memory — Why vectors aren't enough: probabilistic retrieval, un-auditable results, no structured relations. KG provides deterministic, explainable memory. 7. Risk-Tiered Execution — Three tiers: Safe (auto), Review (single approval), Critical (dual + audit). Machine-readable risk contracts. 8. The Deterministic Layer — Where probabilistic models don't belong: routing, validation, filtering, authorization. All articles include debate sections, real-world case studies, Rust code examples from Terraphim, measurement frameworks, and reference implementations.
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Summary
This PR adds an 8-article series on production agent systems, harness engineering, and the Terraphim architecture to the blog.
Articles Added
Series 1: The Harness Determines Success
Series 2: Context Architecture
Series 3: Memory Infrastructure
Series 4: Production Patterns
Quality Features
Staging Schedule
All articles written by Alexander Mikhalev. Cross-links to existing Terraphim articles included where relevant.