AI coding agents are already pretty good at writing frontend code. Getting them to build a consistent UI across an entire project is still tricky. Meta's open-source design system, Astryx, takes an interesting approach to this. It lets agents like Claude Code and Codex access component docs, templates, and design guidelines through its CLI. Instead of making UI decisions from scratch every time, agents can build around an existing design system.

AI coding agents are generating more code, faster. Security needs to keep up. 🔒 Join us for a hands-on session with Semgrep Guardian to see how security fits directly into AI coding workflows with Claude and Codex. See how Guardian detects vulnerabilities as code is being written and helps teams address security risks earlier, without slowing developers down. 🧱 Build beyond the code! Join live for a chance to win one of three $50 LEGO gift cards. 📅 October 21 | 8 AM PT Get hands-on with Guardian →

AI coding has made git diff MORE useful to me, not less. I don’t necessarily want to reread an entire file the agent just touched. Show me exactly what changed. When software can modify itself this quickly, understanding the delta becomes bloody important!

AI coding startup Cognition is on track for $1 billion in annualized revenue based on its September performance, roughly double its run rate from about four months earlier. - Bloomberg

AI coding tools increase developer output. But growing pull request backlogs can easily overwhelm engineering teams, contributing to what’s known as “review fatigue.” Here’s how to calibrate your workflows for agentic development. Improve prompts, use stacked pull requests, and recognize how the developer role is changing.

AI coding tools optimize for one dev, not a whole org. Enterprise teams need governance across everyone. CodeRabbit Agent is now live in Slack code channels: full agentic SDLC, context, memory, and cost visibility, right where your team already works. Get started today.

AI coding saves you developer time. You get to decide what to do with that time. You can spend that time supporting multiple different codebases/languages. Or you can keep a x-plat framework and spend that time making your product better, optimizing your x-plat usage.

AI coding agents like Claude Code, Codex, Copilot, and Cursor can access repos, invoke tools, and connect through MCP. Prisma AIRS AI Gateway and AI Runtime Security inspect these interactions inline to stop threats, protect code and secrets, and enforce policy before risk becomes impact. Secure AI from prompt to action.

AI coding agents are stateless. Every session, same wrong turns. ArcticMem gives Snowflake CoCo persistent memory by extracting typed facts from successful sessions – the tribal knowledge nobody writes in a README. ADD/UPDATE/DELETE lifecycle keeps it clean. 47% → 73% overall pass rate. 18% fewer tool calls. Agents stopped chasing bugs that weren't bugs. 👇