Releasesby IbisBuild and deploy to Netlify from Grok
GAyesterdayUnverifiedAdded Oct 24, 2026
Users can now connect Netlify to Grok to enable AI-assisted project management, status checks, and deployments via conversation.
Topics: AI agents, Data integration
More Netlify releases
Every Netlify releaseIntroducing the Support Hub
Enterprise teams can now create, track, and reply to support tickets without leaving Netlify in our new Support Hub. Go to User settings > Support to see your tickets, check their status, and continue your conversation with the Netlify support team. Team Owners can see every ticket their team members created, not just their own.
TypeSafe Jev 1.14.0 Now Available in AI Gateway
TypeSafe’s Jev 1.14.0 model is now available through Netlify’s AI Gateway with zero configuration required. Install @typesafe-ai/sdk and use it directly in your Netlify Functions without managing API keys or authentication. AI Gateway handles credentials automatically, and usage is billed to your Netlify credits.
Security Update: Next.js and React vulnerabilities (October 2026)
The Next.js and React teams have disclosed three security vulnerabilities (two critical, one high), released on October 14, 2026: a remote code execution (RCE) in SVG image processing, an RCE in use cache (Cache Components), and a denial of service (DoS) in App Router Server Actions. Here's what Netlify customers need to know.
TanStack Start 1.0 deploys on Netlify
TanStack Start is now 1.0, and Start apps deploy on Netlify. SSR, server routes, server functions, and middleware run on Netlify Functions. It's also what new Agent Runners projects start with by default.
Google Gemini 4 Argon now available in AI Gateway and Agent Runners
Google’s Gemini 4 Argon model is now available through Netlify’s AI Gateway and Agent Runners with zero configuration required. Use the Google GenAI SDK directly in your Netlify Functions without managing API keys or authentication. The AI Gateway handles everything automatically.
Mistral Large 4 now available in Agent Runners
Mistral AI's Mistral Large 4 model is now available in Netlify Agent Runners. With a 524K-token context window, it’s built for agentic coding and long-context work, making it a good fit for multi-step tasks across larger codebases. Select it from the model picker to try it today. Learn more in docs.
Meta Models Now Available in AI Gateway
Meta’s Muse Spark and Muse Wonder models are now available through Netlify’s AI Gateway with zero configuration required. Choose muse-spark-1.1 for coding, computer use, and multimodal perception; muse-spark-1.2 for coding-optimized agentic workflows; muse-spark-1.3 for long-horizon coding and agentic work with cleaner code and fewer tokens; or...
Know who is visiting your protected site, right from your functions
On private projects and sites protected with Netlify team login, your Netlify Functions and Edge Functions can now see who is making the request. The signed-in Netlify user is available as context.user, with their user ID, email address, and when their access expires.
Also shipped on Oct 23, 2026
Netlify in October 2026Retrieve Cortex Search (Public Preview)
The CORTEX_SEARCH_RETRIEVE table function is now in public preview, allowing users to execute low-latency search queries directly from SQL for RAG and chatbot applications.
DataFrame caching on serverless compute is now in Public Preview
Databricks now supports DataFrame caching on serverless compute via df.cache() or df.persist(), allowing users to reuse results within a session.
Box Audit Logs managed ingestion connector (Beta)
The Box Audit Logs connector for Lakeflow Connect is now available in beta, enabling the ingestion of enterprise audit events into Databricks.
Manage Test Engine workflows with Terraform and the REST API
Users can now manage Test Engine workflows using the buildkite_test_suite_workflow Terraform resource or the REST API, enabling code-based configuration of monitors and actions.
Flagship - Target Flagship feature flags with structured evaluation context
Flagship now supports nested objects and arrays in evaluation context, allowing developers to target feature flags based on complex user profiles and tags.
Responses API for the Cortex REST API (Preview)
The new Responses API in the Cortex REST API provides OpenAI-compatible endpoints for accessing models.