4 verified briefings on Code Generation. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
Microsoft has updated Azure Logic Apps with sandboxed code interpreters. This allows AI agents within workflows to safely generate and execute Python, JavaScript, C#, and PowerShell code, positioning Logic Apps as a platform for building AI-powered integrations.
Google has released new Android command-line tools to support the growing use of AI coding agents. These tools are designed to integrate with AI platforms like Claude Code and OpenAI's Codex, enabling developers and their AI assistants to build and manage Android applications more efficiently.
GitLab explains how AI coding agents like Codex can accelerate bug fixing. These tools operate within the terminal to read code, suggest solutions, and run commands. While AI speeds up the initial coding, the full development lifecycle—including reviews and CI/CD pipelines—still requires human oversight.
New AI agents can automatically find and exploit obscure software vulnerabilities. At the same time, developers are increasingly using AI to generate large volumes of code that may contain new flaws. This dual threat is forcing security teams to rethink their defensive strategies and adapt quickly.