PayPal Developer making friends with CodeRabbit Developers in Amsterdam 🚀 Awesome to geek out with you all @SantoshYadavDev @shafaqwushu @bruvimtired See you at another conference soon 🤓 #paypaldev#

Best way to test a feature you built? Run it on real repos. So we forked the octokit repos into an org and used our automatic repository linking feature. CodeRabbit now walks the dependency graph on its own and flags cross-repo impact at review time.

Best way to test a feature you built? Run it on real repos. So we forked the octokit repos into an org and used our automatic repository linking feature. CodeRabbit now walks the dependency graph on its own and flags cross-repo impact at review time.

AI-generated code contains 1.7 times more security vulnerabilities than code written by humans, according to a study published by Nithin Kunimmal's team at @coderabbitai. The finding runs counter to a common assumption that automated coding tools should produce fewer errors than human developers, who get tired, forget syntax, or lose track of dependencies. The issue is not about memory or fatigue. It comes down to context. AI coding agents write code without full knowledge of how an organization works. That context is rarely in one place. It lives in Slack threads, email chains, internal documentation, and the institutional knowledge of individual team members. Today's AI tools cannot access or synthesize all of it. Nithin says this gap is the core driver of vulnerabilities. Until AI can reliably absorb the full context of a team's codebase, its conventions, and its history, the output will carry risks that even a distracted human developer might have avoided.

Most rework starts the same way. Nobody really mapped the change before the first line got written. CodeRabbit Agent for Slack plan feature turns your task into a codebase-aware plan. Right in your Slack thread.

Last week I got to chat with @kentcdodds - amazing human being building something incredibly important to skill up all us developers for the future to come. Be on the lookout for the full conversation👀

Most rework starts the same way. Nobody really mapped the change before the first line got written. CodeRabbit Agent for Slack plan feature turns your task into a codebase-aware plan. Right in your Slack thread.

There was a critical issue in Swiggy's codebase and their existing security tooling missed it entirely. CodeRabbit caught it. That single finding turned into a 70% drop in merge time and a rebuilt review workflow across 1,000+ devs.

Is @AnthropicAI's Fable 5 actually worth the upgrade? We benched the new "Mythos" family model against Claude Opus 4.8, and the data tells a surprising story: > Costs 2X more than Claude Opus 4.8. > Up to 3X slower on long-horizon engineering tasks. > 15-20% more comments, but mostly minor nitpicks. Fable 5 has incredible intuition for creative tasks like game design, but for day-to-day dev workflows, Claude Opus 4.8 still takes the crown for quality versus price. Checkout my discussion with @JuanPa from our DevEx team at @coderabbitai on the model release 👇

There was a critical issue in Swiggy's codebase and their existing security tooling missed it entirely. CodeRabbit caught it. That single finding turned into a 70% drop in merge time and a rebuilt review workflow across 1,000+ devs.