Engineering Notes & Domain Intelligence
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Engineering notes, announcements, and domain intelligence, written by the team that builds and operates the platforms.
Agentic AI Engineering
Small Models, Big Systems, Routing to the Cheapest Capable Model
12 MAR 2026>>
Agentic AI Engineering
Text-to-SQL in Production, Guardrails and When to Refuse
09 MAR 2026>>
Agentic AI Engineering
Hybrid Retrieval, The Boring Stack That Wins
04 MAR 2026>>
Agentic AI Engineering
Handoffs, Supervisors, and Swarms, Topologies That Survive Users
02 MAR 2026>>
Agentic AI Engineering
Guardrails as Layered Defense, Checkpoints That Fail Closed
26 FEB 2026>>
Agentic AI Engineering
Tool Use Is a Contract Problem, Not a Prompting Problem
24 FEB 2026>>
Agentic AI Engineering
KV Cache to Prompt Cache, the Architecture of Cheap Inference
20 FEB 2026>>
Agentic AI Engineering
Rerankers Earn Their Latency, Two-Stage Retrieval Economics
18 FEB 2026>>
Agentic AI Engineering
Hybrid Retrieval: Why Vector Alone Isn’t Enough
17 FEB 2026>>
Agentic AI Engineering
One Agent or Many? A Decision Framework from Production
12 FEB 2026>>
Agentic AI Engineering
Cost Observability for LLM Systems, Envelopes and Attribution
06 FEB 2026>>
Agentic AI Engineering
Evals Are the New Tests, Ship the Harness Before the Feature
05 FEB 2026>>
Agentic AI Engineering
Reasoning Models Change the Cost Equation, When to Pay to Think
02 FEB 2026>>
Agentic AI Engineering
Structured Outputs, The End of Parsing Pain
29 JAN 2026>>
Agentic AI Engineering
Chunking Is a Data Modeling Decision, Not a Preprocessing Step
26 JAN 2026>>
Agentic AI Engineering
Agent Memory, What to Persist, What to Forget, and Where
22 JAN 2026>>
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