ai
An agent is a model in a loop. Building AI Agents in Go has you build the loop: 17 chapters and 776 pages, from the first request to a crash-triage agent for a real Go web service, using only Go’s standard library. …
Two CouchDB databases got the same replications in the same order. One ended with a document deleted, the other with it live, and the only difference was a …
Agents that share state usually rely on eventual consistency and hope. Bide’s shared state rests on a convergence theorem that is machine-checked …
bpp wins on tokens and loses on being read correctly. Across 8 models and ~770K records, mean comprehension error was GCF 31% / JSON 40% / bpp 54%. The failure …
You find an over-restriction because something legitimate breaks and points at the spot, and it breaks earlier the earlier you encode the rule. You do not find …
You rarely know everything before you have to start building. This is the workflow I use to build the parts that are settled, hold the parts that are not as …
A measured, reproducible evaluation of Jev (TypeSafe AI) against the peer class its own benchmarks avoid. Where the moat is real, where it reduces to a copyable …
We benchmarked 8 tokenizers from 6 providers and performed exhaustive vocabulary scans. 15 of the most common JSON field names (id, name, type, value, title, …
23 comprehension runs across 10 models (Claude Opus/Sonnet/Haiku, GPT-5.5/5.4/5.4-mini, Gemini 2.5 Flash/Pro, Gemini 3.1 Pro, Gemini 3.5 Flash). Generation eval …