Releasesby IbisSend feedback from the Vercel CLI
UpdateyesterdayUnverifiedAdded Oct 24, 2026
The Vercel CLI now includes vercel feedback , which sends bugs, friction reports, and feature requests to the Vercel team from your terminal. Coding agents can also send feedback when they run into issues. Use vercel feedback with -f or --field to include structured context as key=value pairs.
Topics: AI agents, Developer tools, Coding agents
More Vercel platform releases
Every Vercel platform releaseVercel CLI adds Spend Management
You can now view and manage your team's Spend Management budget from the Vercel CLI. Run vercel budgets and you, or the scripts and agents you run, get back your current spend and the active budget. View, set, and remove a budget This is the same On-Demand Budget shown in your team's billing settings. Setting a budget does not stop usage on its own.
Send feedback from the Vercel MCP
Vercel MCP now includes submit_feedback , a tool for sending bug reports, friction reports, and feature requests directly to the Vercel team from your agent or harness. Ask your agent to give feedback in plain language: Send Vercel feedback that the deployment error didn't explain which environment variable was missing.
Deployments now show build cache size
Deployment summaries now show the size of the build cache each deployment saved and how close it is to the limit for its build machine . The same information is in the CLI with vercel inspect on version 65.1.0 or newer, and in the get-deployment REST API endpoint .
Vercel Connect adds managed Stripe API keys
Vercel Connect can now create a separate restricted Stripe API key for each agent or task. When you create a Stripe connector, you can now choose Managed API Key as the connection method. Vercel creates the key in your Stripe account, limited to the permissions you pick. The existing MCP and bring-your-own API key methods are unchanged.
Eight more TLDs now eligible for a free domain with Pro
Every Pro team can claim a free domain for one year. That offer now includes .co , .studio , .company , .info , .pro , .live , .digital , and .agency , bringing the eligible TLDs to sixteen. The offer still covers one domain per team, and premium domains are not eligible.
Deploy without an account using Vercel CLI
You can now deploy apps to Vercel without an account using Vercel CLI . Share prototypes faster with a live URL before signing in to claim your project. From a project directory that isn't linked to Vercel, run: The CLI builds your project locally when needed and returns a deployment URL you can share.
Routing Middleware now supports Python
You can now write routing middleware in Python for FastAPI, Flask, Django, and other Python frameworks. It runs before requests reach your app, and can rewrite, redirect, or answer them.
Skipped monorepo deployments no longer count against limits
Deployments that Vercel automatically skips in a monorepo no longer count against your deployment rate limits. Teams with monorepos now get more deployments from the same limits.
Also shipped on Oct 23, 2026
Vercel 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.