Google ships Gemini 3.1 Pro with big reasoning gains and 1M‑token context
Google released Gemini 3.1 Pro with major reasoning gains, a context window up to 1 million tokens, and broad availability across developer and enterprise surfaces.
A humorous concept describing imaginary gravity-defying technology.
Google released Gemini 3.1 Pro with major reasoning gains, a context window up to 1 million tokens, and broad availability across developer and enterprise surfaces.
Agentic development is moving from proofs to practice across core tooling, with Xcode 26.3 adding in-IDE agents and MCP, GitHub piloting agentic workflows in Actions with guardrails, and Google introducing APIs that make assistants stateful and documentation-accurate. Apple’s latest Xcode adds deeper agent capabilities and first-class MCP integration, enabling Claude/Codex-style agents to plan, run builds/tests, and verify via Previews within the IDE [InfoQ](https://www.infoq.com/news/2026/02/xcode-26-3-agentic-coding/)[^1]. GitHub Next’s experimental Agentic Workflows bring locked-down, event-driven agents to CI using a CLI that compiles natural language into read-only, sandboxed Actions [Amplifi Labs](https://www.amplifilabs.com/post/css-scope-hits-baseline-github-agentic-workflows-oss-trust-tools)[^2]; meanwhile, Google’s Developer Knowledge API with an MCP server and the new Interactions API push assistants toward on-demand, canonical retrieval and managed, stateful steps for deep research [DevOps.com](https://devops.com/google-launches-developer-knowledge-api-to-give-ai-tools-access-to-official-documentation/)[^3] [Towards Data Science](https://towardsdatascience.com/the-death-of-the-everything-prompt-googles-move-toward-structured-ai/)[^4]. [^1]: Adds: release details on agent behaviors, MCP via mcpbridge, and verification in Xcode 26.3. [^2]: Adds: overview of GitHub Agentic Workflows model, guardrails, and repo automation scenarios. [^3]: Adds: specifics on the Developer Knowledge API, freshness guarantees, and MCP server integration. [^4]: Adds: explanation of Google’s Interactions API for stateful, tool-orchestrated agent flows.
Agentic coding is moving into mainstream tooling as Xcode 26.3, GitHub Actions pilots, and new Google offerings converge on guarded, MCP-compatible agents across IDEs, CI, and authoritative docs. Xcode 26.3 expands integrated agentic coding for Claude and Codex, adds Model Context Protocol support, and lets agents verify UI via Previews for iterative fixes and planning.[^1] GitHub Next is piloting Agentic Workflows for Actions with strict defaults, while Google advances an agent‑first stack via Antigravity and a Developer Knowledge API plus MCP server that enables assistants to retrieve official docs at runtime.[^2][^3][^4] [^1]: https://www.infoq.com/news/2026/02/xcode-26-3-agentic-coding/ — Details on Xcode 26.3 agent capabilities, MCP support, and verification via Previews. [^2]: https://www.amplifilabs.com/post/css-scope-hits-baseline-github-agentic-workflows-oss-trust-tools — Newsletter coverage of GitHub Agentic Workflows and safety guardrails. [^3]: https://antigravity.im/ — Independent guide outlining Google Antigravity’s agent‑first IDE and multi‑agent orchestration. [^4]: https://devops.com/google-launches-developer-knowledge-api-to-give-ai-tools-access-to-official-documentation/ — Overview of Google’s Developer Knowledge API and MCP server for authoritative documentation retrieval.
A recent video argues for designing agentic workflows—multi-step, tool-using, stateful flows—instead of one-off AI automations. "Google Antigravity" is referenced as an example of this direction, though details are limited; the practical takeaway is to treat agents like orchestrated workflows with planning, tool calls, memory, and robust controls.
AI-powered VS Code forks (Cursor, Windsurf, Google Antigravity, Trae) inherit extension recommendations from Microsoft’s marketplace, but some recommended extension names don’t exist in Open VSX, the registry these forks rely on. This gaps creates a name-squatting avenue where attackers could publish malicious packages under those names; prompts can be file-based or software-based, increasing exposure.
Koi found that popular AI IDEs forked from VS Code (Cursor, Windsurf, Google Antigravity, Trae) inherit hardcoded extension recommendations that point to Microsoft’s marketplace, but those extensions don’t always exist on OpenVSX (the registry these IDEs actually use). Unclaimed namespaces on OpenVSX could be registered by attackers to ship malicious lookalike extensions that the IDE proactively recommends based on files or installed software. Koi preemptively claimed several risky namespaces (e.g., PostgreSQL, Azure Pipelines, ARM tools) with placeholder packages to reduce immediate risk.
Baytech Consulting reports that Google released an AI-native IDE, Antigravity, in late 2025 that uses the Gemini 3 model to orchestrate agentic, multi-file development (a "mission controller" vs autocomplete). Their analysis says it accelerates prototyping and greenfield work but introduces a walled-garden feel and integration friction for teams anchored in VS Code and Azure DevOps. This is a single consultancy review; official details from Google are limited.