Build faster with agents that survive production.
Technical guides, comparisons, and implementation notes for the decisions that show up after the demo.
Featured guide·
Speculative Agents Need a Commit Boundary
Speculative execution cuts agent latency only when prediction and commitment are separate operations.
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·AI Agents
The Tool List Is Not an Authorization Boundary
Hiding a tool from an agent changes its options, not the authority behind them.
·AI Agents
What Pass Rates Hide About Long-Horizon Agents
Milestone reach rates reveal the transition where agent reliability collapses.
·LLM Infrastructure
Sliding-Window Prefix Caches Need Physical Proof
Hybrid attention turns prefix caching into a memory-consistency problem across KV pools with different lifetimes.
·AI Agents
Loop / Harness Engineering
Agent loops turn prompts into one part of a production harness: tools, state, checks, approvals, and exit conditions.
·AI Agents
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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AI Slop Hall of Fame
Generated design, code, and writing defaults that make the reader do the real work.