Meta’s semi-formal reasoning enables AI agents to verify code without executing it, achieving 93% accuracy. Implications for code review and RL training costs.
GitHub Adds 37 New Secret Detectors in March, Extends Scanning to AI Coding Agents
GitHub’s March 2026 updates introduce secret scanning for AI agents via MCP, 37 new detectors, and expanded push protection. Learn how to secure AI-generated code.
Gemini Code Assist Gets Agent Auto-Approve, Inline Diffs, and Custom Commands to Speed Up the Core Coding Loop
Google’s latest Gemini Code Assist updates focus on workflow, not hype: Agent Mode with Auto Approve, inline diffs, a Context Drawer, custom commands, Finish Changes, and Outlines streamline how developers review, trust, and integrate AI-generated code in VS Code and IntelliJ.
Microsoft Azure Skills Plugin Gives AI Coding Agents a Playbook for Cloud Deployment
Microsoft’s new Azure Skills Plugin closes the gap between AI-written code and production deployments by packaging expert Azure knowledge as executable skills, backed by MCP servers for real infrastructure actions and AI workflows—bringing guardrails, consistency, and speed to DevOps and platform teams.
Anthropic Code Review Dispatches Agent Teams to Catch the Bugs That Skim Reads Miss
Anthropic Code Review dispatches agent teams to find bugs in PRs. Multi-agent analysis, severity ranking, and inline fixes for Teams and Enterprise.
Claude Code Remote Control Keeps Your Agent Local and Puts it in Your Pocket
Claude Code Remote Control lets developers run AI coding agents locally while supervising them from any browser or phone. Anthropic’s local-first approach contrasts with cloud agents and reshapes how teams govern AI-driven development.
Cursor Cloud Agents Get Their Own Computers — and 35% of Internal PRs to Prove It
Cursor’s new cloud AI coding agents can build, test, and verify software autonomously using real UI interaction. With 35% of production PRs generated by agents, software delivery is shifting from code authoring to agent orchestration and governance.
What a ‘Good Plan’ Really Means for AI Coding Agents
Explore how AI coding agents are transforming software development. This article discusses the importance of clear objectives, runnable tasks, and continuous validation in planning to ensure that the transition from idea to production is seamless and efficient. Learn how effective planning and clarity are essential for modern application development.
Former GitHub CEO Bets $60M That Developer Tools Need a Factory Reset for the AI Age
Thomas Dohmke’s new company, Entire, aims to redefine the software development lifecycle for AI-driven coding by focusing on post-code generation processes. With a $60 million seed round, Entire’s first product, Checkpoints, enhances visibility into AI-generated code, addressing the challenges of governance and review for DevOps teams.
Feeding the Beast: Why Giving Your Code to AI Agents Might Be Your Biggest Mistake Yet
Your codebase isn’t food, but AI agents are more than happy to devour it. Teams keep handing over entire repositories because automation feels like a cheat code for productivity. The problem shows […]
