Here is your today’s AI Dev Brief from Marktechpost, covering core research, models, infrastructure tools, and applied updates for AI developers and researchers.
Nous Research Releases NousCoder-14B: A Competitive Olympiad Programming Model Post-Trained on Qwen3-14B via Reinforcement Learning
Nous Research releases NousCoder 14B, a Qwen3-14B based competitive programming model trained with execution based reinforcement learning on verifiable code tasks. The model targets LiveCodeBench v6 and reaches 67.87 percent Pass@1, up from 60.79 percent for the Qwen3 14B baseline, using 24k problems, 48 B200 GPUs and 4 days of training. The team builds an Atropos plus Modal pipeline where Python solutions run in sandboxed containers, with a simple reward of 1 for solving all tests and minus 1 for any failure or resource limit breach. They explore GRPO variants DAPO, GSPO and GSPO plus, and combine them with iterative context extension from 32k to 40k tokens, then YaRN based extension to 81,920 tokens at evaluation......… Read the full analysis/article here.
Vercel Releases Agent Skills: A Package Manager For AI Coding Agents With 10 Years of React and Next.js Optimisation Rules
Vercel has released vercel-labs/agent-skills, a skill package manager for AI coding agents that follow the Agent Skills specification. Each skill is a folder with SKILL.md, optional scripts, and references so multiple agents can consume the same capability. The initial set includes react-best-practices for React and Next.js performance, web-design-guidelines for accessibility and UX checks, and vercel-deploy-claimable for creating claimable Vercel deployments. Skills can be installed with commands like npx skills i vercel-labs/agent-skills or wired into tools such as Claude Code and Cursor using npx add-skill vercel-labs/agent-skills. Agents then discover skills from their local skills directories and apply them when reviewing code or deploying projects. This turns React and design best practices into version controlled building blocks that any compatible AI coding agent can reuse......… Read the full analysis/article here.
Project Notebooks/Tutorials
▶ [Open Source] Rogue: An Open-Source AI Agent Evaluator worth trying Codes & Examples
▶ A Coding Guide to Understanding How Retries Trigger Failure Cascades in RPC and Event-Driven Architectures Codes Tutorial
▶ Building a Secure and Memory-Enabled Cipher Workflow for AI Agents with Dynamic LLM Selection and API Integration Codes Tutorial
▶ Building an Advanced PaperQA2 Research Agent with Google Gemini for Scientific Literature Analysis Codes Tutorial
▶ A Code Implementation to Build a Multi-Agent Research System with OpenAI Agents, Function Tools, Handoffs, and Session Memory Codes Tutorial