LLM
Ratchet Code That Exploits IFEval
LLM sycophancy bias is not a bug but an asset. Combine the instruction-following ability that IFEval measures with deterministic feedback, and even a 4.5B local model produces a convergence loop that generates correct code.
AI Sycophancy Bias Is a Business Feature
LLM sycophancy is not a bug. It is a mathematical inevitability of RLHF and a commercial feature that big tech has no incentive to fix. This is why LLM-as-Judge is structurally impossible.
Why Coding Agents Work and Why They Break
The same model hallucinates in web chat yet ships 200-line features in a coding agent. It is not the model that changed -- it is the topology. Generation can be probabilistic. Verification must be deterministic.
Feedback Topology Over Model IQ
The same model stalls at 40 or completes all 527. The difference is not the model — it is the feedback structure. LLM performance depends far more on how fast and deterministic the feedback loop is than on the model itself.
tsma -- Regression Defense Line for Legacy Code
A CLI tool that indexes every function, detects test presence, measures coverage, and gives precise feedback to LLM agents. One command builds a regression defense line around legacy code.
Constraints Are Contracts
Without agreements there is chaos; with too many there is oppression. Rational constraints strike the golden ratio. The principles of rule of law apply equally to code and knowledge.
filefunc — One File, One Concept
The navigation unit for an AI code agent is the file. filefunc is a Go code structure convention and CLI tool that enforces one concept per file.