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AI Engineering

AI engineering, in practice.

Technical guides for teams building reliable systems with language models and agents.

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A long token stream splitting into full-length and bounded rolling cache paths
July 11, 2026

Sliding-Window Prefix Caches Need Physical Proof

Hybrid attention turns prefix caching into a memory-consistency problem across KV pools with different lifetimes.

Compare the agent ecosystem

Explore actively maintained frameworks, their focus areas, and the signals behind their adoption.

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Notes, comparisons, and implementation guides for building AI-powered software.

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Branching speculative paths meeting a luminous commit boundary

Speculative Agents Need a Commit Boundary

Speculative execution cuts agent latency only when prediction and commitment are separate operations.

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Abstract interlocking loops for harness engineering

Loop / Harness Engineering

Agent loops turn prompts into one part of a production harness: tools, state, checks, approvals, and exit conditions.

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Plain-Text Context Files for LLMs

Plain-Text Context Files for LLMs

Plain-text context files are the git-native, zero-ops way to steer AI agents.

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How to Build an MCP Server

How to Build an MCP Server

A guide to building an MCP server for Markdown note taking

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