Google Antigravity + Gemini 3.7 Flash: Multi-Agent AI That Actually Ships
Google’s Antigravity platform pairs with Gemini 3.7 Flash to run autonomous agent teams that solve open math problems and build CPU emulators. Here’s what it means.
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OpenAI Cuts Cursor Off After SpaceX Acquisition
OpenAI is winding down its contract with Cursor following SpaceX’s acquisition of the AI coding tool. Here’s what happened and what it means for developers.
Google Gemini 3.5 Transcribe: Smarter Speech-to-Text Is Here
Google’s Gemini 3.5 Transcribe brings context-aware, intelligent speech-to-text to developers. Here’s what it does, how it compares, and who should care.
GPT-5.6 Comes to Kiro: What Developers Actually Get
OpenAI’s GPT-5.6 is now live in Kiro, Amazon’s AI dev tool. Here’s what the price-performance upgrade means for developers building real software.
Gemini 2.5 Flash Gets a Successor — Meet Gemini 3.7 Flash
Google’s Gemini 3.7 Flash is here — faster, smarter, and built for coding and agentic tasks. Here’s what changed, what it means, and who wins.
Google Expands Gemini Managed Agents With 3.6 Flash and Lifecycle Hooks
Google’s Gemini API now brings 3.6 Flash, lifecycle hooks, and new agent controls to help developers ship production-ready AI agents faster. Here’s what changed.
GPT-5.6 Is Here: More Power, Better Value, Same OpenAI Ambition
OpenAI’s GPT-5.6 promises stronger performance per dollar and more capability on demand. Here’s what it actually means for developers and businesses.
Google Gemini Managed Agents Get Background Tasks and Remote MCP
Google expands Gemini API Managed Agents with background task execution, remote MCP support, and production-ready tooling. Here’s what developers need to know.
Google Interactions API: Gemini’s Unified Dev Interface
Google’s Interactions API is now generally available — a single, unified interface for all Gemini models and agents. Here’s what developers need to know.
Codex-Maxxing: How to Run Long, Complex AI Coding Tasks
Jason Liu’s codex-maxxing approach shows how to preserve context, manage complex projects, and keep OpenAI Codex working across long coding sessions.
How Google Built I/O 2026 Using Its Own AI
Google used Gemini to produce Google I/O 2026 — from code to creative. Here’s exactly how it worked and what it signals about AI-assisted production at scale.
How Endava Built an Agentic Organization Using Codex
Endava is using OpenAI Codex to cut requirements analysis from weeks to hours and reshape how its engineers deliver software at scale. Here’s how they did it.