#code-generation
4 articles
01
·Agents·★ MEMBER·PAPER·9 min read
CogEvol: What the Reward Cannot Measure, RL Will Quietly Destroy
A technical report on a model family that generates teaching material in a single pass. Its centerpiece is an incident the authors disclose in full: a screenshot-only reward taught the policy to ship games that looked convincing and could not be played.
02
·Agents·★ MEMBER·PAPER·13 min read
Paper Walkthrough: Code as Worlds — An Agent That Writes the World Down as Runnable Code
A close read of Code-as-World, which represents physical worlds as executable code and searches for world hypotheses through a propose–execute–render–verify loop. The three parts of an EWR, the agentic discovery loop, the QuantiPhy results, and the limits the paper itself admits.
03
·Compilers & Runtimes·FREE·11 min read
Compilers From Scratch — How Source Becomes Machine Code
One line of source code, followed all the way down through lexing, parsing, semantic analysis, intermediate representation, optimization, and code generation, until it comes out as a single machine instruction. Along the way: why bugs surface at -O2, and why your benchmark loop disappears.
04
·Agents·★ MEMBER·PAPER·13 min read
Paper Explainer: SemaPLC — The Agent That Isn't Allowed to Say "Done"
Most work on LLM-generated factory control code stops at showing that the code can run. SemaPLC forbids the agent from declaring completion until logged external checks confirm it, lifting live-runtime behavior from a baseline ceiling of 31.4 to 52.2.