Fast Company AIcode reviews
We replaced a role with AI, and our developers love it
For code reviews, AI has earned its place.
InfoWorld AI·
AI-aided development tools are churning out more lines of code than ever, presenting a challenge for reviewers who must review ever larger pull requests. After toying with the idea of closing the door to AI-aided code submissions, GitHub is now looking to help enterprises manage big code changes in a more incremental way. It says a new feature, Stacked PRs, can improve the speed and quality of code reviews by breaking large changes into smaller units. “Large pull requests are hard to review, slow to merge, and prone to conflicts. Reviewers lose context, feedback quality drops, and the whole team slows down,” the company said, announcing GitHub Stacked PRs on its website. With the new, stacked approach it aims to reduce the overhead of managing dependent pull requests by minimizing rebasing effort, improving continuous integration (CI) and policy visibility across stacked changes, and preserving review context to enhance code quality. Stacked PRs tracks how requests in a stack relate to
Read full articleFor code reviews, AI has earned its place.
The second post from Build Club, our weekly live build session. A companion GitHub repo can be found here. Your inbox is not the problem. The problem is that you are the person other people are waiting on. Some of those messages need you specifically. Most of them need an answer you have already given... The post Build a digital twin agent (with guardrails) appeared first on DataRobot.
Explore 10 top open-source GitHub repositories for modern databases, analytics, SQL, caching, monitoring, replication, PostgreSQL, SQLite, and AI agent memory.
A malicious npm package posing as a remote user interface for OpenAI Codex exfiltrated developer authentication tokens, after attackers allegedly published code to npm that was not visible in the project’s public GitHub repository. Researchers at Aikido said the package, called codexui-android, appeared to offer legitimate functionality while collecting authentication tokens and sending them to an external server. “AI developer tooling is becoming a high-value target precisely because the tokens are powerful and long-lived,” Aikido said. “A stolen Codex refresh_token goes beyond access to a chat interface — it’s persistent, silent access to whatever that account can do.” Aikido said the incident reflected a broader pattern in which attackers build credible and useful projects as cover for malicious activity. “The legitimacy is the attack vector,” Aikido said. “As AI tools proliferate and developers reach for productivity shortcuts, expect more of this.” The case exposes what some secur
AI-driven coding surge could boost productivity and innovation but raises concerns about code quality, security, and review process adequacy. The post Nvidia CEO Jensen Huang says AI-generated commits on GitHub tripled to 1.4B in 2026 appeared first on Crypto Briefing.
Microsoft is heading to San Francisco this week in a bid to win back developers at its Build conference. I've been attending Build since the days when Microsoft called it the Professional Developers Conference, and I can't remember a more pivotal moment. As Microsoft continues to reshuffle its entire business around AI, it's moving Build into a smaller, more intimate venue. Trust in Windows and GitHub is at an all-time low, and this is Microsoft's chance to reconnect with developers and outline the future. Sources tell me that we'll hear about new AI models in Windows, a new reasoning model from Microsoft AI, and a Copilot "super app." But … Read the full story at The Verge.
Solana co-founder Anatoly Yakovenko has called for another attempt to accelerate SOL disinflation, after a new GitHub discussion proposed improving Solana’s tokenomics through a resource-based base fee that would be fully burned. The debate puts SOL issuance, fee burn mechanics and validator economics back at the center of Solana governance after last year’s failed SIMD-0228 […]
Personal agents are exploding in popularity, with open source projects like OpenClaw and Hermes seeing rapid adoption by AI developer communities on GitHub. Built to adapt to individual preferences and workflows, these agents can interact with applications, generate content, automate repetitive processes and manage multi-step tasks — all while running locally on device. Today at […]