Researchers propose WebGrader, a self-evolving programmatic grader that trains large language models for web development by autonomously deriving interaction flows as executable Flow Contracts and usi…
Researchers introduced SWE-Touch, a benchmark evaluating coding agents' ability to repair software after users directly edit code, finding that most models' performance drops significantly when user e…
A developer building LLM agents with the DevSwarm architecture, which splits tasks across specialized open-weight models including GLM-5.2, Qwen3-Coder-480B, and Kimi-K2.7-Code, implemented self-hoste…
A developer team built DevSwarm, an AI agent swarm that turns prompts into full-stack apps using open-weight models, and instrumented it with SigNoz for observability. The telemetry revealed that thei…