Google I/O 2026: Everything Developers Need to Know
Google I/O 2026 brings major updates for developers: a revamped Gemini API, Google Antigravity tools, and a clear push toward agentic AI apps. Here’s what matters.
Agentic AI
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Google Launches Managed Agents in the Gemini API
Google’s Gemini API now supports managed agents — define agents as files, run them in secure cloud sandboxes. Here’s what developers need to know.
Gemini 3.5: Google’s Most Capable Model Meets Real-World Action
Google launched Gemini 3.5 at I/O 2026, combining frontier reasoning with agentic action. Here’s what’s new, what it means, and who it’s built for.
Sea Limited Bets Big on Codex for AI-Native Engineering
Sea Limited’s CPO David Chen explains how the company is deploying OpenAI Codex across engineering teams to build AI-native software faster across Asia.
How OpenAI Built a Safe Sandbox for Codex on Windows
OpenAI engineered a secure Windows sandbox for Codex that controls file access and blocks network calls. Here’s exactly how it works and why it matters.
Gemini in Chrome for Android: What Auto Browse Actually Does
Google is bringing Gemini to Chrome for Android with auto browse and agentic features. Here’s what it actually does and why it matters for mobile browsing.
How Frontier Firms Are Pulling Ahead With AI: OpenAI’s B2B Signals Report
OpenAI’s B2B Signals report reveals how top enterprises are scaling agentic AI workflows with Codex. Here’s what the data actually shows — and what it means.
How OpenAI Cut Agent Latency With WebSockets and Smarter Caching
OpenAI’s Responses API now uses WebSockets and connection-scoped caching to slash overhead in agentic loops like Codex. Here’s what changed and why it matters.
Google’s Gemini Enterprise Agent Platform Is Here to Run Your Business
Google’s new Gemini Enterprise Agent Platform gives technical teams one place to build, govern, and scale autonomous AI agents. Here’s what it actually does.
OpenAI Opens Bug Bounty to Catch AI Safety Risks
OpenAI launches a Safety Bug Bounty program targeting prompt injection, agentic abuse, and data exfiltration. Here’s what it covers and why it matters.
The State of Machine Learning in 2026: From Scaling Laws to Specialized Intelligence
Machine learning in 2026 looks fundamentally different from just two years ago. The era of “bigger is better” is giving way to a new paradigm: specialized, efficient, and increasingly autonomous AI systems. From Google DeepMind‘s AlphaEvolve to the rise of agentic AI frameworks, here’s what’s defining the field right now. The End of Pure Scaling…
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