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AI Engineering

Loop Engineering: Stop Prompting Your Agent, Start Writing Loops

The best AI engineering skill is no longer crafting the perfect prompt — it is designing loops with an LLM at their heart. Boris Cherny and Peter Steinberger both say they barely prompt anymore; they write the loops that prompt the agent. Here is what loop engineering actually is, the six primitives behind a working loop (automations, worktrees, skills, connectors, sub-agents, memory), why "loopmaxxing" is the new tokenmaxxing, and the exit conditions that keep an autonomous loop from quietly burning your budget.

Jun 15, 2026
Databases

Redis in 2026: A Field Guide for Developers

Redis is far more than a cache. It is an in-memory data-structure server that hands you sub-millisecond strings, sorted sets, streams, and now native vector search — the engine behind rate limiters, leaderboards, job queues, sessions, and RAG. Here is what every developer should actually know: why it is fast, the data structures that are its real superpower, the commands you will reach for, the production gotchas that bite, and where the Redis-vs-Valkey license drama finally landed.

Jun 13, 2026
AI Models

Claude Fable 5: The Model Built to Run for Hours

Anthropic just shipped Claude Fable 5 — a frontier "Mythos-class" model that sits a full tier above Opus 4.8. But the real story is not the benchmark deltas. It is the clock: Fable 5 can run autonomously for 30 minutes to several hours on a single task. Here is why hours-long agent runs, not a few points on SWE-bench, are the actual disruption — and how to route work between Fable and Opus without doubling your bill.

Jun 9, 2026

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