The Four Loops That Replaced Prompt Engineering
Tom Osman ran one autonomous loop that produced 183 user stories overnight. LangChain published the playbook: build the thing that prompts for you.
Tom Osman ran one autonomous loop that produced 183 user stories overnight. LangChain published the playbook: build the thing that prompts for you.
Block built Builderbot: tag it in Slack and it researches, plans and ships. 1,500 PRs a week, 15% of production code. The interface that wins is chat.
Google formalized the Open Knowledge Format so agents can maintain your docs. It standardizes structure, not truth. That gap is the real problem.
Anything on a public leaderboard gets trained against. The only AI advantage that does not expire is the definition of good that lives inside your company.
David Haber at a16z: every unrecorded meeting is AI context you will never recover. Companies recording everything build a corpus no rival can access.
NomadGo promised 99% accuracy and 8x faster counts. Starbucks rolled it out to 11,000 stores without ever testing the number on the actual floor.
Cursor, Devin, and Replit run the same three frontier models. Swap the model and the products keep working. Swap the harness and they break.
Aakash Gupta named the system this week that we already run inside IQ Source: three layers that make a team's past reasoning queryable in 15 seconds.
Karpathy's LLM Wiki hit 17M+ views describing memory. We have spent 18 days running the four layers around it: senses, nerves, immune system.
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