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.
Compare open-source AI frameworks
Inspect language, project age, funding, repository size, and the GitHub signals behind adoption. Ranked live from repository data.
Latest writing
Browse all guides·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.
·AI Agents
How to Build an MCP Server
A guide to building an MCP server for Markdown note taking
·AI Agents
Structuring tools for AI Agents
A short conceptual guide to organising tools in agentic workflows
Collection
AI Slop Hall of Fame
Generated design, code, and writing defaults that make the reader do the real work.




