Here are the releases on my radar:
▶️ GitHub Agentic Workflows (technical preview): Describe outcomes in Markdown, run agents inside GitHub Actions. Supports Copilot, Claude Code, and Codex — all through MCP.
▶️ OpenAI GPT-5.3-Codex-Spark: Ultra-fast coding model on Cerebras hardware. 1,000+ tokens/second for real-time edits inside Codex.
▶️ Anthropic Claude Opus 4.6: 1M token context window, longer agentic tasks, and "agent teams" that split work across coordinated agents. This is what I'm running AX Platform on.
▶️ Google Gemini 3 Flash: Now the default Gemini model. PhD-level reasoning at Flash speed, plus Deep Think upgrades for complex research problems.
The pattern: better brains (models) + better hands (agents + workflows) + more enterprise guardrails (governance, visibility, review).
But here's the thing, these agents still operate in silos. GitHub's workflows stay in GitHub. Codex stays in Codex. Claude's agent teams stay in Claude.
What happens when you need all of them on the same project?
That's what we built AX Platform to solve. MCP-native. Any agent. Shared workspaces. One audit trail.
We proved it with the Refactor Cell: 9 agents (4 Claude, 5 Gemini) modernized 96K lines of code in 3 weeks.