Google’s new AI agent rewrites code to automate vulnerability fixes

✨TodayOnAI’s Daily Drop

• Google’s new AI agent rewrites code to automate vulnerability fixes

• Google Expands Opal AI App Builder to 15 New Countries

• OpenAI Unveils AgentKit to Power the Next Wave of AI Agent Development

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

Google

Google’s new AI agent rewrites code to automate vulnerability fixes

🚀 TodayOnAI Insight:
Google DeepMind has introduced CodeMender, an autonomous AI agent that identifies and fixes critical software vulnerabilities—already contributing over 70 patches to open-source projects. By pairing deep code reasoning with automated validation, CodeMender aims to shift AI from discovering flaws to fixing them at scale.

🔍 Key Takeaways:

• Autonomous patching: CodeMender finds and fixes security vulnerabilities with minimal human input, using Gemini Deep Think models for advanced reasoning.

• Proactive + reactive protection: It both patches known bugs and rewrites code to prevent future exploit classes, including buffer overflows.

• Validation-first architecture: A rigorous validation system ensures that changes fix root issues without introducing regressions or breaking style/test requirements.

• Multi-agent model: Specialized sub-agents perform tasks like static analysis, fuzzing, SMT solving, and code critique to improve precision.

• Early impact: Contributed 72 vetted fixes and applied hardening annotations to libraries like libwebp—targeted in past high-profile exploits.

💡 Why This Stands Out: As AI speeds up vulnerability discovery, the burden of fixing them has shifted disproportionately to human developers. CodeMender signals a strategic pivot: embedding AI deeper into the remediation loop, not just detection. It hints at a future where AI doesn’t just find bugs—but fixes them before they cause harm. Could this redefine secure software development as an autonomous-by-default process?

Google

Google Expands Opal AI App Builder to 15 New Countries

🚀 TodayOnAI Insight: Google is expanding Opal, its no-code AI app builder, to 15 new countries, unlocking global access to a tool that lets users create and share mini web apps using natural language prompts. This move reflects growing demand for accessible AI development platforms.

🔍 Key Takeaways:

• Global rollout: Opal is now available in 15 additional countries, including India, Japan, Brazil, and Canada.

• No-code design: Users describe the app they want, and Opal uses Google’s AI models to generate functional prototypes with customizable visual workflows.

• Improved debugging: Google upgraded Opal’s editor with step-by-step execution, inline error surfacing, and console tweaks—while preserving its no-code interface.

• Performance boost: App generation is now significantly faster, and users can run workflow steps in parallel for more complex builds.

• Strategic positioning: With Opal, Google competes with Canva, Figma, and Replit in the growing space of consumer-friendly AI app creation.

💡 Why This Stands Out: Opal reflects a broader shift toward democratizing software development through AI. By lowering technical barriers, Google is betting that creativity—not coding skills—will drive the next wave of web innovation. The question now is how Opal will evolve in a market crowded with intuitive AI-first tools.

OPEN AI

OpenAI Unveils AgentKit to Power the Next Wave of AI Agent Development

🚀 TodayOnAI Insight:OpenAI launched AgentKit at its Dev Day, introducing a full-stack toolkit for building and deploying AI agents. CEO Sam Altman positioned it as a “Canva for agents,” aiming to streamline the path from prototype to production and strengthen OpenAI’s developer ecosystem amid intensifying platform competition.

🔍 Key Takeaways:

• Agent Builder: A visual interface for designing agent logic and workflows—no deep coding required.

• ChatKit: Lets developers embed customizable chat interfaces into their apps while preserving brand identity.

• Evals for Agents: Provides granular performance testing, automated prompt optimization, and evaluation tools for both OpenAI and external models.

• Connector Registry: Offers secure integration with internal systems and third-party tools through a centralized admin panel.

• Developer Traction: OpenAI demoed a live agent build in under eight minutes and announced early launch partners already scaling production agents.

💡 Why This Stands Out: AgentKit marks OpenAI’s most direct move toward a developer-first agent ecosystem—one where autonomous systems become as easy to deploy as chatbots once were. It underscores the shift from model access to workflow orchestration, positioning OpenAI against Anthropic, Google, and open-source frameworks vying to define the agent infrastructure layer. The question now: who will own the operating system for AI agents?

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📰 More from the AI World

• Sam Altman says ChatGPT has hit 800M weekly active users

• California’s new AI safety law shows regulation and innovation don’t have to clash

• OpenAI and Jony Ive may be struggling to figure out their AI device

• Sam Altman says Sora will add ‘granular,’ opt-in copyright controls

🧰 Today’s AI Toolbox Pick

• 🔊CrystalSound (Audio Tool): Eliminates unwanted noise, leaving only the user’s voice.

• 📊Venture Insights Finance Tool): Creates investment reports and offers benchmark tools for your portfolio.

• 📚Converse (Assistant Tool): A personal reading companion for articles, PDFs, and YouTube videos.