A Practical Guide to Autonomous Evaluation Loops in Claude Code

The guide explains two layers of Claude Code improvement, YAML activation tuning and output checks like word count and sentence rules.

Coding After Coders: The End of Computer Programming as We Know It

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...
GitHub

Universal skills loader for AI coding agents

OpenSkills brings Anthropic's skills system to every AI coding agent — Claude Code, Cursor, Windsurf, Aider, Codex, and anything that can read AGENTS.md.
IEEE

DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...
GitHub

Increasing the Scope as You Learn: BAxUS

💡 NOTE: If you're interested in BAxUS, please consider using Bounce, which comes with an improved trust region management policy, an easier setup, and batch parallelism. benchmark_runner.py -id 100 ...
IEEE

NestFL: Enhancing Federated Learning Through Nested Multicapacity Model Pruning in Heterogeneous Edge Computing

Abstract: Federated learning (FL) has emerged as a pivotal approach for edge-based distributed machine learning, yet it faces significant challenges due to the constrained capacities and heterogeneity ...