Agents Do Not Need To Train To Learn
The model weights can stay frozen while an agent learns through memory, rules, commands, skills, logs, and the workspace around it.
The Missing Fence Between AI Plans And PR Stacks
AI agents can produce plausible plans quickly, but teams need a small review surface before those plans harden into a stack of PRs.
Code Is Cheap, Show Me The Idea
AI made the first demo cheaper. The scarce thing now is the idea the model would not have found on its own.
HERON
activeA domain-agnostic MARL framework for evaluating trained policies under heterogeneous event-driven execution and realistic observability constraints
ResumeAssist
wipA private, configurable AI resume assistant with LangChain agents, CV rendering, and a full-stack review workflow
llm-validator
activeA configurable LLM benchmarking template for repeatable model, prompt, dataset, and metric validation
dpai
archivedA lightweight local inference-serving toolkit for registering models and exposing prediction endpoints quickly