69 releases across 17 tools this week; biggest: GitHub Copilot (24 releases).
GitHub Copilot
- Agent Merge on GitHub pull requests (): On October 28, 2026, Agent Merge was added to pull requests on GitHub. It was already available in the GitHub Copilot app and Visual Studio Code. Select Watch and fix in the pull request merge box and choose whether Copilot fixes failing Actions workflows, resolves merge conflicts, or both. When a selected blocker appears, Copilot works on it in a cloud development environment. Agent Merge can be enabled by default for every pull request you open, and it can be combined with auto-merge so GitHub merges the pull request once requirements are met. It is available on paid Copilot plans, subject to organization and enterprise policies. GitHub Copilot
- Cloud Copilot Automations in VS Code (): On October 28, 2026, Copilot Automations in Visual Studio Code can run in the cloud. Personal scheduled automations keep running when Visual Studio Code is closed. Personal automations can also run on GitHub events, such as an issue being assigned or a pull request being opened, and shared cloud automations can be created for the repository. Update to Visual Studio Code 1.144 and enable chat.automations.cloud.enabled. Automations are in the Automations tab of the Agents window. Copilot Automations is available on Copilot Pro, Pro+, Max, Business, and Enterprise. GitHub Copilot
- Connected Copilot cloud sessions (): On October 28, 2026, GitHub made a connected Copilot cloud experience generally available on paid Copilot plans, rolling out starting October 28. A session can start on github.com, GitHub Mobile, Copilot CLI, the Copilot app, VS Code, or from Slack or Microsoft Teams, and continue on another of those surfaces with the same session list. By default, every session runs in a cloud sandbox on GitHub-managed infrastructure. Sandboxes have no one-hour limit on total running time, and a snapshot is saved when a sandbox shuts down so the session can resume later. Billing for cloud sandbox usage begins in November 2026. The included Actions entitlement is now one dollar-based pool for standard GitHub-hosted runners, cloud sandboxes, and, on Team and Enterprise Cloud, larger hosted runners, instead of a fixed number of standard runner minutes. Each product keeps its own published rate. Sessions that use Actions-based self-hosted runners or copilot-setup-steps.yml still need Actions as the environment. Running Copilot CLI with --environment-host registers your own computer or VM. Cloud sessions include Bash, the GitHub CLI, code search, connectors, custom MCP servers that use key-based authentication, skills, and slash commands such as /rubber-duck and /context on github.com and GitHub Mobile. On GitHub Mobile, a task can be described by voice or with an attached image or file. Access is governed by the Copilot in the cloud policy, and a repository previously opted out of the Copilot cloud agent stays opted out. Without write access to a repository, Copilot there is read-only. Copilot Free can keep using Copilot Chat on github.com and GitHub Mobile. GitHub Copilot
- Copilot app projects and computer use (): On October 28, 2026, the GitHub Copilot app added Projects in public preview. A project holds a goal plus context such as repositories, design mocks, Slack threads, or notes, and the models and tools for the job. Copilot runs as many agents as the work needs and brings back results, such as pull requests. Project automations can repeat a task, such as creating a promo video when a feature lands. A single-repository task can still start as a session from that repository. The app can use Slack and Figma context to research a request, draft a specification, or work through a design, and it can generate and edit images in chat. Computer use, in public preview on macOS and Windows, lets Copilot read app content, click controls, enter or edit text, and navigate across apps, including apps without an API, command-line interface, or MCP integration. Copilot asks for approval before controlling an app, and an organization can disable the feature in managed settings. Turn it on under Settings, Computer Use. On macOS, grant Accessibility and Screen Recording permissions. GitHub Copilot
- Copilot Automations can propose their own improvements (): On October 28, 2026, Copilot Automations can learn from outcomes on GitHub and propose improvements to themselves. Examples GitHub gives are whether people change labels an automation applied, whether developers accept its review comments, and whether maintainers merge the pull requests it opens. A proposed change to the prompt, tools, or triggers is sent for review before it is applied. Asking Copilot to set up a self-improving automation can create a group, such as a review automation on new pull requests and a weekly automation that proposes refinements to it. Copilot Automations is available on Copilot Pro, Pro+, Max, Business, and Enterprise. GitHub Copilot
- Copilot Automations triggers, tools, and credit limits (): On October 28, 2026, Copilot Automations added triggers, tools, and AI credit limits. The Trigger an automation REST API can start an automation from an external system. Twenty-four more GitHub events can start one, across issues, pull requests, discussions, and code scanning, secret scanning, and Dependabot alerts. A trigger's "Can be triggered by" setting defaults to Only users and can be set to Users and Copilot so another automation's event fires it. Automation run succeeded and Automation run failed triggers can chain automations. Twenty new GitHub tools include uploading image or video attachments, retrying workflow runs, merging pull requests, updating comments, marking a pull request ready or converting it to a draft, hiding comments and reviews, removing reactions, and reading or commenting on discussions. An automation can also use selected tools from a custom MCP server added in the repository's settings. Optional credit limits can be set per run, day, week, or month. A per-run limit stops that run. A daily, weekly, or monthly limit blocks new runs until the period resets. Automations without limits are unchanged. Copilot Automations is available on Copilot Pro, Pro+, Max, Business, and Enterprise, in repositories where you have write access. GitHub Copilot
- Copilot code review Max and approvals (): On October 28, 2026, Copilot code review added Max, in public preview, and made Copilot approvals generally available for Copilot Pro, Pro+, Max, Business, and Enterprise. Max joins Lite and Balanced. It runs several independent review agents across models from different providers, then an aggregation agent reconciles their findings. Max takes longer and uses more AI credits than Lite or Balanced. It can be selected for one pull request or set as the default for a repository, organization, or enterprise, and each level can override the one above it. Administrators can set a maximum effort level so higher levels are unavailable. Approvals are off by default. When they are on, every review includes an approval assessment, and Copilot's approval counts toward required approvals. New commits dismiss that approval. Administrators turn approvals on at the enterprise, organization, or repository level, and repository administrators can limit which file paths Copilot may approve. GitHub Copilot
- Copilot Fusion can route to local models (): On October 28, 2026, GitHub Copilot Fusion added experimental routing between supported on-device models and cloud models in Copilot CLI, the Copilot app, and Visual Studio Code. On supported Windows devices, MAI Code 1.1 Flash can be downloaded through the Windows ML provider. In the CLI, enable experimental mode and follow the prompts in /model. In the app, configure Windows ML under Settings, Model providers, enable Local model auto routing under Settings, Experiments, and start a new session. Windows ML local models are enabled by default on Windows. In VS Code, enable chat.copilot.localModel.enabled. Select Standard in Copilot Fusion to let Copilot choose between local and cloud models, or select the local model directly. On Windows, macOS, and Linux, Copilot CLI can also route to a manually configured MAI Code 1.1 Flash or Qwen3.8 Flash Next served by a local OpenAI-compatible server. Discovering a model through bring-your-own-key configuration does not by itself make it eligible for Fusion. The Copilot app can select compatible local models through bring-your-own-key, but its intelligent routing currently supports managed Windows ML models only. Routing decisions still happen in the cloud, so local inference does not make the session offline. GitHub Copilot
- Copilot in JetBrains, Universe releases (): On October 28, 2026, GitHub Copilot in JetBrains IDEs added Copilot Fusion, with Standard, High, and Max effort levels. Fusion replaces the Auto model option and is rolling out gradually. GitHub says Fusion use is discounted 30% for the first 30 days. Local sandboxing is generally available, so tools and commands Copilot starts run with restricted access to the filesystem, network, credentials, and other system capabilities. Next edit suggestions are generally available. The Microsoft Copilot agent harness is the default when it is available. A session sidebar can open sessions side by side, and settings can choose the default permission mode for new sessions. The update also improves edit reliability, cancellation recovery, and selected-code context. GitHub Copilot
- Copilot in VS Code, Universe releases (): On October 28, 2026, GitHub Copilot in Visual Studio Code added ways to keep one agent session across clients and machines. A cloud agent session started from the Agents window keeps running on GitHub's infrastructure after the laptop closes, and the same session can continue in VS Code, the Copilot app, GitHub Mobile, github.com, or Copilot CLI, including sessions started in a Slack or Teams direct message. Agent Host isolates sessions from individual VS Code windows so work continues after the project window closes. Remote SSH and dev tunnels can run that host on another machine, which has to stay running. The editor and the Agents window stay on the same live session. From a project folder, code agent host --github-environment lets GitHub Mobile steer the agent on that machine. The Copilot harness, built on the Microsoft Copilot SDK, is now the default for new sessions. VS Code can install Copilot CLI through its Windows installer, when adding VS Code to the path on macOS, or by running copilot on Linux. The Agents window can run models and harnesses in parallel, ask a Judge model to recommend one, and use Synthesize to combine attempts. That comparison is in preview. Computer use is experimental: enable chat.agentHost.computerUse.enabled, restart, and run /computer on. Each application requires approval. The Agent Host Protocol lets another client connect to code agent host, with libraries for TypeScript, Rust, Go, Kotlin, and Swift. Customizations in the Agents window browse skills, MCP servers, and plugins. The Customization Marketplace is in preview. Administrators can require or block named plugins and marketplaces, and .github/copilot/settings.json can register default plugin marketplaces without enforcing them. Copilot connectors, in preview on all plans, connect a service such as Slack, Notion, or Microsoft Learn once and reuse it across Copilot clients on the Copilot harness. Business and Enterprise administrators need to allow Editor preview features for the marketplace and connectors. GitHub Copilot
- Copilot included with GitHub Enterprise (): On October 28, 2026, GitHub said enterprises that work with a GitHub or Microsoft account team can get Copilot included with GitHub Enterprise for every licensed user. AI usage is metered from the first request against the enterprise budget, with no included usage allowance. Code completion and next edit suggestions keep working when no budget is available. Copilot Chat, Copilot code review, and Copilot in the cloud require available budget. An exhausted budget does not remove the seat. Users in the enterprise account who do not hold a GitHub Enterprise license get the same access through Copilot Standalone, at $10 per user per month. That access has the same features and models as Copilot Enterprise and does not include monthly AI credits per seat. It is available now for GitHub Enterprise Cloud customers who work with an account team. Self-serve availability is opening in stages, and current self-serve subscriptions are unaffected. Copilot Business and Copilot Enterprise remain available to purchase. GitHub Copilot
- Copilot SDK is becoming Microsoft Copilot SDK (): On October 28, 2026, GitHub said the GitHub Copilot SDK is becoming the Microsoft Copilot SDK, the programmable interface for the Microsoft Copilot harness used across Microsoft and GitHub products. The SDK repository, branding, and documentation are being updated in phases. Existing package names, namespaces, and some documentation may still say GitHub Copilot SDK during the transition. GitHub says no immediate changes are required for existing users, and support for the SDK stays the same. GitHub Copilot
- GitHub Agentic Workflows generally available (): On October 28, 2026, GitHub Agentic Workflows became generally available. Markdown workflow files compile into GitHub Actions YAML and run a coding agent for tasks such as issue triage, CI failure analysis, documentation updates, and test writing. The default engine is GitHub Copilot CLI, which requires a Copilot license, and a workflow can bring its own coding agent. Agents follow integrity filter rules for GitHub content, run with read-only permissions by default, and execute in a sandboxed container behind the Agent Workflow Firewall. Outputs go through the safe outputs process, and a threat detection job scans proposed changes before they are applied. Since the public preview, workflows can run on Actions Runner Controller runners with Docker-in-Docker, gh aw forecast includes threat detection credits and monthly ranges, a model provider can be chosen per workflow, a model router can optimize for task type and difficulty, and agents can run in a Cloud Hypervisor or NVX micro-VM. It is generally available on github.com for GitHub Free, Team, and Enterprise. GitHub Copilot
- GitHub Copilot Fusion generally available (): On October 28, 2026, GitHub Copilot Fusion became generally available. Selecting it does not pick one model. It routes and orchestrates models for each task, combining Project HydraFusion's multi-model orchestration with Copilot auto model selection. Effort levels are Fusion Standard, Fusion High, and Fusion Max. Workflows are Single (one model), Cascade (an efficient model drafts, then a quality check can escalate), and Critique (one model drafts, another reviews, and the first revises). GitHub says Copilot Fusion Max scored 60 on the Artificial Analysis Coding Agent Index, within two points of Claude Code with Opus 5.5 Max, at about half the average API cost per task, using about half as many tokens and taking about 40% less time per task. Fusion uses only models enabled in enterprise and organization policies. Enterprise administrators can disable a model for Fusion without disabling it for everyone, and can set Fusion, at any effort level, as the default. Each model Fusion uses is billed at that model's standard rate. For a limited time, paid Copilot plans get a 30% discount on model costs when using Fusion. It is available on all Copilot plans in Visual Studio Code, the GitHub Copilot app, GitHub Copilot CLI, and JetBrains IDEs. Previous auto, HydraFusion, or HydraFusion Max selections move to the corresponding Fusion effort levels. GitHub Copilot
- GitHub intelligence: memory, dreaming, and code search (): On October 28, 2026, GitHub introduced GitHub intelligence for agents, with memory, dreaming, and code search. GitHub Copilot Memory is generally available on paid Copilot plans. Memories of personal preferences and repository conventions can be created in the Copilot app, Copilot CLI, VS Code, the Copilot cloud agent, Copilot code review, Slack, Teams, and GitHub Mobile. Sessions can generate and curate memories. GitHub says that among reviewed Copilot CLI public-preview sessions where the agent used memory, 93% showed better adherence to developer preferences and 42% showed more efficient workflows. Personal memories can be viewed or deleted in Copilot settings. Copilot dreaming, in public preview, is opt-in and consumes AI credits. Dream types are personal memory curation, repository customization (including proposed pull requests that update skills and custom instructions), and code review customization that turns recurring accepted review feedback into guidance. Individuals enable personal curation in Copilot settings and repository dreams per repository. Organization and enterprise administrators enable dreaming through Copilot policies. GitHub code search lets Copilot look across related repositories for exact text, symbols, regular expressions, and semantic matches, including through /research. GitHub Copilot
- GitHub-verified Copilot connectors (): On October 28, 2026, GitHub-verified MCP servers, called connectors, started rolling out in public preview. Connect a service once, with no local server to install, and use it in the GitHub Copilot app, Copilot CLI, VS Code, Copilot in the cloud, and GitHub Mobile. At launch, 26 services can be connected, including Slack, Figma, Notion, Sentry, Linear, Atlassian Rovo, Cloudflare, Vercel, and Work IQ. In the Copilot app, open Customize and select Connect. In Copilot CLI, run /mcp and use the Connectors tab. In VS Code, connect from Customizations in the Agents window. On github.com, use the Copilot customization page. Copilot uses a connected service's tools when they are relevant to the request, and the Copilot app can use a connected service in scheduled automations. The rollout covers all Copilot plans. Copilot Business and Copilot Enterprise need the Editor preview features policy. If an enterprise MCP allowlist is set in managed settings, an administrator also has to add GitHub-verified MCP servers to it. Some services also need an administrator to allow access on that service's side. GitHub Copilot
- Image generation in Copilot chat (): On October 28, 2026, GitHub Copilot chat can generate and edit images from natural language. The selected reasoning model calls an image-generation tool powered by GPT Image 2.5 Flare, previews the image inline, and saves it to the project. It works in VS Code, the GitHub Copilot app, and Copilot CLI. Organization and enterprise owners can turn it off by disabling the image generation model in Copilot model policies. A visible "Made with AI" watermark is opt-in and off by default. Image generation is in public preview for Copilot Pro, Pro+, Business, and Enterprise. It is billed separately from the chat model, based on image tokens that count toward the plan's AI credits. GitHub Copilot
- Security extension for the Copilot app (): On October 28, 2026, the GitHub security extension for the GitHub Copilot app entered public preview. Where code scanning is already enabled, it lists open code scanning alerts by severity, with search and filters, and can open an alert's details and affected code. Selecting one or more alerts and asking Copilot to Explain or Fix changes only the local working copy. It shows linked pull requests, and dismissing an alert is sent for approval when the organization uses delegated alert dismissal. /security-review checks the current changes and says when the code has changed since the last review. Install it with copilot plugin install github-security@awesome-copilot, or from Customize in the Copilot app. Explain, Fix, and /security-review use the selected model and consume AI credits. Browsing and dismissing alerts do not. Any Copilot plan can install the extension and run /security-review. Seeing, fixing, and dismissing existing alerts requires permission to view them. Private repositories need GitHub Code Security. Copilot Business and Copilot Enterprise need the GitHub Copilot app policy enabled. It runs on github.com and GitHub Enterprise Cloud with data residency, not on GitHub Enterprise Server. GitHub Copilot
- Shared Copilot Automations (): On October 28, 2026, shared Copilot Automations started rolling out. A shared automation is visible to everyone with read access to the repository and editable by anyone with write access. AI credits are billed to the organization or user that owns the repository, and actions on GitHub are attributed to Copilot rather than to one person. The automation stays with the repository if its creator leaves, and change history records how the tools, triggers, and prompt evolved. When creating an automation on github.com, the GitHub Copilot app, or Visual Studio Code, choose Shared under Type. The type cannot be changed later. An organization-owned repository also needs the policy that allows use of the Copilot cloud agent billed to the organization. The rollout covers Copilot Pro, Pro+, Max, Business, and Enterprise, and availability may vary. GitHub Copilot
- Copilot server-to-server authentication (): On October 27, 2026, GitHub Copilot added server-to-server authentication for GitHub Apps installed on organizations, in public preview. Services and agents built with the Copilot SDK can make requests for an organization with a short-lived installation access token, without a signed-in user's credentials. The app needs the read-only Copilot Requests organization permission and must be installed on the organization. Usage is attributed and billed to the organization that owns the installation, and that organization's model policies, budgets, and spending controls apply. Organization owners can see which apps have access, find app-attributed usage in AI usage CSV reports in the app_client_id field, and stop an app by suspending or uninstalling it. GitHub Copilot
- GitHub Copilot CLI 1.0.104 (): Released October 27, 2026. The managed model fusion starts sessions on Auto and applies fusionTier settings. Interactive and SDK Autopilot sessions keep waiting for attached background tasks instead of stopping after COPILOT_TASK_WAIT_TIMEOUT_SECONDS; -p --autopilot still honors that timeout. When a saved Auto preference is no longer available, Auto falls back to its default preference instead of failing each turn. Assisted Permissions are available without enabling experimental mode. GitHub Copilot
- GitHub Copilot CLI 1.0.105 (): Released October 27, 2026. Selecting Copilot Fusion High or Max in /model now works from long-context sessions. GitHub Copilot
- Copilot assisted permissions generally available (): On October 26, 2026, assisted permissions became generally available in GitHub Copilot CLI, the GitHub Copilot app, and Visual Studio Code. When Copilot requests permission to run a command, access a file system path, or open a URL, a large language model evaluates the request. Requests classified as clearly safe proceed automatically. Other requests require approval. In the CLI, run /permissions and select assisted. In the Copilot app, open the mode picker, click Tool permissions, and select Assisted. In Visual Studio Code, open the permissions picker and select Assisted permissions. Enterprise admins can block Allow All while keeping Assisted available, or disable Assisted separately, and can choose the default permission mode for new sessions. If that default is unavailable or prohibited by policy, the session starts with manual approval. GitHub Copilot
- GPT-6.1 Terra in GitHub Copilot (): On October 26, 2026, GPT-6.1 Terra became generally available in GitHub Copilot. GitHub says it is designed for everyday agentic coding and terminal work at a lower cost than GPT-6.1 Sol, and that in early testing it solved noticeably more terminal and C# coding tasks than GPT-5.6 Terra. It is available to Copilot Pro, Pro+, Max, Business, and Enterprise users in the model picker in Visual Studio Code, Visual Studio, Copilot CLI, the GitHub Copilot cloud agent, the GitHub Copilot app, github.com, GitHub Mobile on iOS and Android, JetBrains IDEs, Xcode, and Eclipse. Rollout is gradual. It is billed at provider list pricing under usage-based billing. Copilot Enterprise and Copilot Business admins manage access through the model policy. Under default model enablement, new models are enabled unless an admin has turned off the global default or disables this model. GitHub Copilot
Vercel
- Finer IP geolocation (): On October 29, 2026, Vercel IP geolocation started resolving visitor locations with finer network granularity. Vercel says it delivers city-level data for nearly all requests and postal-code data for 90% of traffic, and that the data is refreshed more often. It is on for every project with no code or configuration change. Existing geolocation headers and the geolocation() helper in @vercel/functions return the same fields for Vercel Functions and Routing Middleware. Subnets announced from a hosting provider in a different country than their regional internet registry record now resolve to the data center where the traffic terminates. Some visitors can resolve to a different city or country, most often traffic from VPNs, hosting providers, and leased IP ranges. Vercel
- Node.js 26 LTS on Vercel (): On October 29, 2026, Node.js 26 LTS became generally available for builds and Vercel Functions, and it is the default for new projects. Built-in fetch uses HTTP/2 by default through Undici 8. The release includes the Temporal API and V8 14.6, which adds Map.prototype.getOrInsert(). If engines.node in an existing project's package.json allows 26, such as >=20, the next deployment uses Node.js 26. Set engines.node to 26.x to choose it directly. Prebuilt deployments need Vercel CLI 65.8.0 or later. Set VERCEL_FETCH_DISABLE_H2 to 1 and redeploy to keep HTTP/1.1 in Functions. Minor and patch updates to Node.js 26 roll out automatically. Vercel
- Separate AI crawler and assistant firewall rules (): On October 29, 2026, the AI Bots managed ruleset in Vercel Firewall could log or block AI crawlers and AI assistants separately. Vercel describes AI crawlers as bots that collect content for indexing and model training, and AI assistants as bots that fetch pages in response to user actions or search queries. Vercel updates the rules as new bots are added. Configure it under the project's Security, Firewall, Rules, then Bot Management. vercel firewall diff reviews the changes and vercel firewall publish applies them. The ruleset is available on all plans. Vercel
- Vercel Connect webhook triggers (): On October 29, 2026, Vercel Connect added webhook triggers for Resend, X, Twilio, Notion, and Telegram. Connect receives events, such as Telegram bot messages or emails received by a Resend domain, verifies the requests, handles provider heartbeats and verification challenges, and forwards them to an endpoint in a Vercel project. Connect registers webhooks automatically for Resend and Telegram. For Twilio, Notion, and X, copy the webhook URL from Connect and finish setup in the provider's settings. These connectors join existing trigger support for Slack, Discord, Microsoft Teams, GitHub, and Linear. Vercel
- Vercel Plugin in Antigravity (): On October 29, 2026, the Vercel Plugin became available in the Google Antigravity marketplace. It gives an Antigravity agent guidance on Vercel APIs and recommended patterns, with skills for products such as the AI SDK, Vercel Functions, and Workflow. Install it from Customizations, Marketplace in the Antigravity app. Vercel
- Agents can enable Web Analytics from the CLI (): On October 28, 2026, Vercel CLI stopped requiring an interactive terminal to enable Web Analytics or Observability Plus, so an agent can turn them on. From a linked project directory, run vercel project web-analytics enable or vercel project observability enable. Enabling Observability Plus requires the team to already be subscribed to it. This requires Vercel CLI 64.2.0 or later. Vercel
- Box Mount in Vercel Sandbox (): On October 28, 2026, Box Mount became available in private preview for Vercel Sandbox. It syncs a Box folder with a directory in the sandbox so an agent can read and write those files through the filesystem. Unmount before stopping the sandbox, and the agent's writes are in Box after the sandbox is deleted. The sync process and the agent run as separate sandbox users, so the Box credentials stay out of the agent's workspace. Request access from Box, then follow Vercel's Box Mount documentation. Vercel
- Paseo agents on Vercel Sandbox (): On October 28, 2026, Paseo could run fx, Codex, Claude Code, OpenCode, and Pi in Vercel Sandbox through the Vercel Sandbox plugin. An agent started from Paseo on a laptop can be controlled from a phone after the laptop is closed. Stopping a sandbox saves files and conversation history. Active processes stop with the sandbox. The Vercel AI Gateway key is entered once during setup and reused for model requests, outside the sandbox. Enable plugins in Paseo under Settings, Plugins, then run paseo plugin add vercel-labs/paseo-vercel-sandbox. Vercel
- Vercel Agent sessions use fewer tokens (): On October 27, 2026, Vercel said Agent sessions in the dashboard and Slack cost 67% less on average. Agent uses fewer tokens per session and reuses more of the prompt cache, including in long Slack threads. Updated Vercel CLI skills give agents clearer guidance for common workflows and error recovery, and other agents that use those skills get the same guidance. Billing rates are unchanged: paid sessions are billed at the model provider's inference rates plus a Vercel Agent fee of $0.25 per million tokens. The change is already live. Vercel
- Vercel Plugin in OpenCode (): On October 27, 2026, the Vercel Plugin became available in OpenCode 2. It gives on-demand guidance on Vercel APIs and recommended patterns, with skills for the AI SDK, Vercel Functions, Workflow, and more, plus specialist agents for deployment, performance optimization, and AI application design. /vercel:deploy deploys a project and /vercel:env manages environment variables. Install it with opencode plugin add github:vercel/vercel-plugin, then run /mcps, select vercel, and sign in to connect the Vercel MCP server. Vercel
- Vercel Agent can validate alerts before paging (): On October 26, 2026, Vercel Agent can investigate alerts from Vercel monitors before they reach a paging system. With validation enabled for a webhook destination, only alerts Agent classifies as Critical are sent to it. Turn it on from a monitor's notification settings by selecting Critical Only on that destination, or with the Vercel CLI command vercel monitors notifications and --critical-only. Agent checks logs and metrics, and a monitor can include context to guide that check. Alert validation is available on Pro and Enterprise plans with Observability Plus, which includes 10 Agent investigations per billing cycle. Additional investigations are billed separately. Vercel
Vercel AI SDK
- Mistral Large 4 updated weights on AI Gateway (): On October 29, 2026, Mistral Large 4 on Vercel AI Gateway started using updated weights, with lower pricing for input, cached input, and output tokens. Vercel says Mistral's announcement reports improvements in agentic coding and defensive cybersecurity, greater token efficiency on coding tasks, spreadsheet creation and editing, web research, and resistance to prompt injection. The model ID stays mistral/mistral-large-4. Vercel AI SDK
- Strix on Vercel AI Gateway (): On October 29, 2026, Strix, the open-source AI penetration testing tool, could run on Vercel AI Gateway. Vercel says that covers any of the 400+ models on the Gateway, including models from Anthropic, OpenAI, Kimi, GLM, and Deepseek, through one API with no markup, and that usage and cost are tracked in AI Gateway. Set STRIX_LLM to vercel_ai_gateway/ followed by the standard provider/model ID, and set LLM_API_KEY to an AI Gateway API key. Vercel AI SDK
- fx in T3 Code (): On October 28, 2026, fx, Vercel's open-source coding agent harness, became available in T3 Code on web, desktop, and mobile. T3 Code can add agents as providers for coding sessions. The built-in fx provider supports Supervised and Auto modes, along with the models and skills already used with fx. Install fx, set up a model provider, then add fx in T3 Code from Settings, Providers, Add provider. Vercel AI SDK
- Particle-1 on AI Gateway (): On October 28, 2026, Particle-1 from Particle AI became available on Vercel AI Gateway as particle/particle-1. Vercel says it is post-trained on DeepSeek V4.1 Flash to complete software engineering tasks with fewer tokens. Particle describes the gains as shorter reasoning, fewer rounds of trial and repair, and more focused exploration. It has a 1M-token context window. Call it through the AI SDK, fx, the OpenAI-compatible Chat Completions API, or a coding agent after npx vercel ai-gateway setup. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including Bring Your Own Key requests. Vercel AI SDK
- Virtual models on AI Gateway (): On October 28, 2026, virtual models became available on Vercel AI Gateway. A virtual model is a saved model and settings configuration, called with a custom ID such as vmc/coding-agent. Changing the underlying model or settings in AI Gateway does not require redeploying apps or reconfiguring agents. It can set reasoning effort, fast mode, and prompt caching, choose providers and fallback models, require Zero Data Retention, and attach custom reporting tags. Create one on the Virtual Models page or with vercel ai-gateway virtual-models create. Replace the provider model ID with vmc/ and the slug in the AI SDK or a compatible API. For a coding agent, connect with vercel ai-gateway setup and select the virtual model. Virtual models work with every model type on AI Gateway. Vercel AI SDK
- fx harness adapter runs on the host (): On October 27, 2026, the fx adapter for the AI SDK's HarnessAgent started running the harness and model requests in the same process as the application. Built-in filesystem and shell operations stay in the sandbox. The adapter uses libfx and no longer installs fx inside the sandbox, runs a sandbox bridge, or exposes a sandbox port, so model credentials stay on the host. It adds built-in tool filtering, mid-turn steering, structured output that matches a schema, and image tool results through toModelOutput(). Sessions can be saved and resumed in a new host process. Update @ai-sdk/harness-fx to use it. Vercel AI SDK
- HarnessAgent accepts image inputs (): On October 27, 2026, the AI SDK HarnessAgent layer started accepting image inputs on every harness adapter. Images go with text in the standard message format, a content array of text and file parts, and the harness's vision model processes them. The adapters are Claude Code, Cline, Codex, Cursor, Deep Agents, fx, GitHub Copilot, Grok Build, OpenCode, and Pi. Vercel AI SDK
- GPT-6.1 Terra on AI Gateway (): On October 26, 2026, OpenAI's GPT-6.1 Terra became available on Vercel AI Gateway. Vercel describes it as a fast model for visual reasoning, computer use, and writing, and says it improves on the previous Terra model in visual reasoning, factual accuracy, and coding. It accepts text and images and returns text, with a context window of more than 1M tokens, and supports configurable reasoning effort, structured outputs, tool calling, and implicit and explicit prompt caching. Fast mode is available as openai/gpt-6.1-terra-fast. Use openai/gpt-6.1-terra through the AI SDK, the OpenAI-compatible Chat Completions API, the Responses API, or a coding agent connected to AI Gateway. Vercel says OpenAI still recommends its larger GPT-6 models for the most complex coding tasks. AI Gateway reflects provider pricing with no markup. Vercel AI SDK
OpenCode
- OpenCode 2.2.3 (): Released October 30, 2026. Install Claude Code, run claude auth login, and select Claude Agent in /connect to use that login and its models. OPENCODE_CLAUDE_PATH can override the Claude executable. Desktop streaming and long conversations do less rendering work, and the release fixes side-panel tabs, repeated "Session not found" toasts, and Open file over HTTP. Experimental schedules can run Code Mode JavaScript checks, including statically authorized tool calls, persistent state, and custom wake messages. Breaking changes for code that imports @opencode/ai directly do not change the CLI, Desktop, or HTTP API: speech, transcription, and video move from @opencode/ai/effect to @opencode/ai/experimental, including ai.experimental.speech, ai.experimental.transcription, and ai.experimental.video on the Promise client. TestSpeech, TestTranscription, and TestVideo move to @opencode/ai/experimental/testing. Both clients build tools with tool(...), which replaces AI.tool and Tool.make, and testing.tool is now testing.toolCall. Separately, @opencode/plugin now requires @opentui/core and @opentui/solid 0.8.0 or later. In OpenTUI 0.8, a ScrollBox's wrapper, viewport, content, and scrollbars are facade objects instead of renderables, and a custom RenderContext must implement clock and onAnimationTick. Managed policy integration.use now controls integration accounts only. The new mcp.use, skill.use, and plugin.use actions control MCP servers, skills, and plugins. Rules with the old mcp:, skill:, and plugin: resource prefixes are converted automatically, but a bare integration.use rule no longer applies to those resources. OpenCode
- OpenCode 2.2.1 (): Released October 29, 2026. Run /goal with an objective in the TUI or Desktop and the session continues until a reviewer confirms the objective is met. /goal pause, /goal resume, and /goal clear control it. Enable experimental.image_generate so agents can create or edit images with the image_generate tool, and optionally set experimental.image_generate.model. Opt-in scheduled prompts are available through /schedule, agent tools, and experimental.schedules. In Desktop, selecting a running shell in the activity pill shows its live output and can stop it, and a redesigned model picker that searches favorites, recent models, providers, and variants is now the default. Codex sign-in can offer GPT Image 2, and MiniMax and Meta Muse image generation are supported. OpenRouter, DigitalOcean, and Venice gain Responses API support, including freeform tools. Breaking changes affect code that imports @opencode/ai directly, not the CLI, Desktop, or HTTP API: the fal, Black Forest Labs, Replicate, and Stability providers and their entry points are removed; five legacy provider entry points are removed in favor of the nested paths 2.2.0 already exports; and each provider's configure() input type is named Config. OpenCode
- OpenCode 2.2.2 (): Released October 29, 2026. When a connected provider supports image models, agents can use experimental_image_generate without extra configuration. Set a preferred model with experimental.image_generate.model. On the Desktop new-session screen, clicking the current Git branch opens that project's "Run session in" worktree picker. Timeline quotes, terminal quotes, and browser annotations share a compact optional-comment editor, and source highlights stay attached to local drafts. Classic question cards are the default again. Settings, Experimental, New question UI turns on the redesigned keyboard-oriented dock. The SDK adds if and until inputs for client.experimental.schedule.create, plus schedule check results and output fields. OpenCode
- OpenCode 1.19.5 (): Released October 28, 2026. Failed TUI worker requests now return an error instead of leaving the caller hanging. OpenCode
- OpenCode 2.2.0 (): Released October 27, 2026. Experimental Desktop plugins can be created, installed, and shared, and managed from Settings, Extensions, Plugins. Plugins can attach and update keyed session instructions with ctx.session.instructions.entry.put, list, and remove; each change is added as a small update at the next step instead of editing the system prompt, and the entries survive compaction and reverts without starting an extra model turn. Experimental image and decision generation APIs are available to plugins and the SDK. Prompt-cache TTLs can be set per provider and model, and the Todo tool is restored in the desktop app as an opt-in. Breaking changes: the @opencode/ai package root exports the Promise API and the Effect API moves to @opencode/ai/effect, @opencode/ai/promise is removed, the OpenCode GitHub Action is no longer published, and TUI plugins require OpenTUI 0.7.0. Sign in with ChatGPT adds GPT-6.1 Terra and GPT-6.1 Terra Fast. The release also refreshes the desktop app. OpenCode
Claude Code
- Claude Code 2.1.314 (): Released October 30, 2026. permissions.blockWritesOutsideWorkingDirectories makes Write, Edit, and NotebookEdit refuse paths outside the working directories in every permission mode. Claude apps gateway upstreams can list IdP groups so only those developers are sent to that upstream, including on failover, and Bedrock upstreams can set guardrail_trace to log which Amazon Bedrock guardrail filter fired without the matched text. In VS Code and Claude Desktop's Code tab, a conversation of 200K or more tokens that is left idle is summarized, and that summary is used on the next message if the prompt cache has expired. Idle compaction also runs for subscribers with telemetry turned off, and on Bedrock, Vertex, Foundry, and LLM gateways once the one-hour prompt cache is on. File tools ask before editing the local copy of an organization's server-managed settings. Flagged requests retry on another model instead of ending in a refusal when ANTHROPIC_DEFAULT_OPUS_MODEL, availableModels, or deniedModels leaves only an older Opus model, or none. Cloud sessions from the web, desktop, and mobile apps start even when a setup script exits with an error. The release also includes a large fix sweep for permissions, MCP sign-in, Remote Control, cloud sessions, VS Code, Claude Tag, and the terminal UI. Claude Code
- Claude Code 2.1.312 (): Released October 27, 2026. The Claude apps gateway adds oidc.user_id_claim so a person can be identified by an id_token claim other than sub, such as Microsoft Entra ID's oid. In fullscreen, clicking the "to send now" hint under a queued message sends it right away. Write now asks Claude to read all of a very large CLAUDE.md, rules file, or @-included file in a subdirectory, or to edit it in place, instead of overwriting it after seeing only the start. Bedrock, Vertex, Foundry, and Mantle use the shorter system prompt for model names Claude Code does not recognize, such as custom deployment names and inference profile ARNs; CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT=0 keeps the full prompt. Cloud routines can set an effort level, and the cloud environment setup script box has a Bash editor. Claude Code stops sending the claude_code.safety_event OpenTelemetry event. The release also includes a large fix sweep for skills, commands, VS Code, cloud sessions, Remote Control, Claude Tag, and Code Review. Claude Code
- Claude Code 2.1.311 (): Released October 26, 2026. self-hosted-runner adds --hold-idle-file and --max-hold-min to keep an idle session while the host reports processes it left running. In the interactive terminal, ultrathink runs its turn at xhigh effort on Opus 5.5, Sonnet 5.5, Haiku 5.5, and Fable 5.1 through Anthropic's API, and typing it while Claude is working raises the rest of that turn. A standard-context session whose request runs over 200K tokens compacts and continues instead of stopping with "Usage credits required for 1M context". Claude Code on Bedrock, Mantle, Vertex, and Foundry loads model settings from a signed file on downloads.claude.ai; CLAUDE_CODE_MODEL_CATALOG=off turns that off. Claude Tag analytics adds a Skills view for how often each attached skill runs in Slack channels. The release also includes a large fix sweep for startup freezes, MCP, compaction, subagents, VS Code, cloud sessions, and Code Review. Claude Code
Cloudflare Workers
- Agents SDK skills are workspace files (): On October 29, 2026, Agent Skills in the Cloudflare Agents SDK became files. A folder with a SKILL.md under /workspace/.agents/skills/ in an agent's Computer Workspace is available on the next turn, with no build or deploy, and the agent can write its own skills. Skills can also load from an R2 bucket or from code, and Think lists every source again before each turn. Every SKILL.md is checked against the Agent Skills specification. A skill that breaks a rule still loads, with a logged warning. Skill scripts are Workspace files, and the model runs them with the Workspace exec tool. The same activate_skill and read_skill_resource tools work in Think, Pi Durable, and the AI SDK. When a skill changes mid-conversation, Think sends the new catalog as a reminder instead of rebuilding the cached system prompt. This is a breaking change for code that uses agents/skills directly. The agents:skills Vite import, agents/skills/compile, SkillRegistry, and Think's skillWorkspace are removed, and runner() moved to agents/skills/runner. Install Agents SDK v0.32.0 and Think v0.23.0 or later. Cloudflare Workers
- Agents SDK browser previews without public URLs (): On October 28, 2026, Cloudflare Agents SDK 0.31.0 or later let an agent's persistent browser open internal hostnames such as preview.internal. Requests to those hostnames go to the agent instead of the public Internet, so the model can check a dev server in its sandbox, a folder in its workspace, or another Worker without exposing that server publicly. Each host's fetch function runs in the Durable Object and can use its bindings, or the host can send requests to another Worker through a service binding. A target schema lets the model choose what the host serves, such as a port, through browser.assignHost(). The checked target lasts across turns, browser restarts, and redeploys. Built-in browser-tool adapters cover Pi Durable, the AI SDK, and TanStack AI. Another harness can implement a tool with browser.session(). browserTool now runs the model's code in its own Dynamic Worker and no longer needs a CodemodeRuntime export. Cloudflare Workers
- Cloudflare Computer can resume and wait for approval (): On October 26, 2026, @cloudflare/computer 0.7.0 can resume agent code after a deploy or crash and pause for an external action such as approving a tool call. Set onInterrupt to "replay" on WorkerJavaScriptBackend so interrupted JavaScript runs again from the beginning and reuses recorded results for completed calls. A call whose result was not recorded before the interruption may run again. A custom module function can call ctx.interrupt() to pause until the app supplies a decision. Time spent waiting does not count toward the timeout, and the wait survives deploys. Pending calls are listed with workspace.runtime.pending() and resolved with respond(). Cloudflare Workers
Gemini API
- Gemini Computer Use generally available (): On October 30, 2026, Google made the Computer Use tool generally available across the Interactions API and the GenerateContent API. Gemini API
- Gemini API CLI beta (): On October 27, 2026, Google released the Gemini API CLI (gemini-api) in beta. It is a stateless, zero-dependency command-line client for AI coding agents, scripts, and CI pipelines. It uses the Interactions API to generate text and media, analyze files, and run Gemini managed agents. Gemini API
- Generate Content API stores requests by default (): On October 26, 2026, new projects using the Gemini Generate Content API (generateContent, streamGenerateContent, and batchGenerateContent) on the paid tier store requests by default (store=true), matching the Interactions API. Existing projects keep their current setting. To opt out, set store=false on a request or turn off Generate Content API logging in the Settings panel of the Logs and Datasets dashboard. Gemini API
Codex CLI
- Codex CLI 0.166.0 (): Released October 29, 2026. The TUI can select transcript text from the keyboard, with word, line, and page motions, integrated search, and configurable shortcuts, and it renders Markdown consistently in async questions, choices, answers, and transcript replies. GPT-6.1 Terra is added to the bundled, Vertex AI, and Amazon Bedrock model catalogs. codex queue --resume resumes unloaded threads after a message is queued. Safety blocks in the TUI explain the block more clearly and offer selectable safer follow-up prompts. codex doctor --network-only checks configuration, connectivity, and WebSocket diagnostics. The release also preserves acknowledged approval and permission settings when resuming or forking threads, keeps local image attachments when restoring killed composer text, fixes standalone release cleanup on macOS when installations are in use or paths contain non-ASCII characters, restores spawned descendant threads when their parent is unarchived, fixes app-server thread startup and shutdown races, improves TUI reconnection including offline /quit and /exit, and preserves reasoning-token accounting across resume and fork so compaction is not premature. The standalone executor ships in the canonical CLI and app-server release packages. Codex CLI
- Codex CLI 0.165.0 (): Released October 27, 2026. Adds a built-in Google Cloud Vertex AI provider, configured with model_provider = "gcp", and adds GPT-6.1 Terra to the model catalogs. The session picker can filter by repository, and the agent command center groups sessions by directory across linked worktrees. Reasoning effort can change during a conversation by default for supported models. Memory v2 is on by default for fresh profiles, and external-agent memories can be imported into it. The app-server API adds experimental attached thread forks. The release also fixes TUI approval defaults, MCP cancellation, queued messages after an interrupt or a switch to Plan mode, model-not-found retries, and a marketplace URL check that could let Git connect to a different host than the one checked against allowed patterns. Codex CLI
Figma
- Version history for generative plugins and shaders (): On October 27, 2026, editing a generative plugin or shader in Figma started saving a new version, so earlier versions can be revisited and restored. Each version gets an agent-generated description that forms a change log and shows which version is published. Figma says this is rolling out this week. Figma
- Figma Weave video and image models in the Figma MCP (): On October 26, 2026, the video and image models available through Figma Weave became accessible from an external AI agent via the Figma MCP. With a Figma Weave account connected to a Figma account, the agent can generate videos and images with models such as Seedance, Kling, and Nano Banana while chatting. Videos and images generated with Weave models consume Weave credits. Figma
Anthropic API
- Usage and Cost Analytics API (): On October 29, 2026, Anthropic launched the Usage and Cost Analytics API in beta with the analytics-usage-cost-2026-08-24 beta header. Its /v1/organizations/analytics/usage and /v1/organizations/analytics/cost endpoints report token usage and cost for Claude Console and Claude Enterprise organizations. Results can be filtered and grouped by dimensions such as model, workspace, API key, and the user or service account behind each request. The Usage and Cost API is now a legacy API, and so are the usage_report, cost_report, user_usage_report, and user_cost_report endpoints of the Claude Enterprise Analytics API. All of them remain supported. Anthropic API
Devin Desktop
- Devin Desktop 3.11.228 (): Released October 26, 2026. In Remote-SSH and Remote-WSL windows, the Agent Window folder picker sets the session's working directory from the window's remote folders and no longer offers local ones, and file links in the Agent Window open from the remote machine. The status bar no longer disappears after switching from Agent mode to IDE mode. On macOS, banners at the top of the window no longer interfere with the window controls. IDE mode offers Devin Cloud whenever the account has Cloud access, the same as the Agent Window, and the "Devin for Cloud" team setting is removed. The "Connect your GitHub account" callout has a "Don't notify me again" option. A dropped connection during sign-in no longer signs you out; Devin Desktop retries instead. Devin Local sessions load again after an update that previously left them failing with "Failed to list sessions". Devin Desktop
Gemini CLI
- Gemini CLI 0.66.0 (): Released October 27, 2026. Terminal output is synchronized, the spinner renders on its own, and scrollback is kept across viewport refreshes. The release stops buffer flickering and border bleed in scrollable tool containers. The scheduler emits tool-call groups directly, drops UI lookahead, and forwards termination signals from bootstrap wrappers to child processes. Shell and git environments keep the user-level ~/.gitconfig, and interactive SSH and credential prompts are suppressed. MCP OAuth can opt in to private-network endpoints. Settings placeholders resolve after .env files load, and keybindings.json accepts a keys array. A banner says Gemini CLI is not optimized for Gemini 4. Gemini CLI
Mistral
- Mistral Large 4 open weights (): On October 29, 2026, Mistral released the weights of an updated Mistral Large 4, also called Le Chonk, after the earlier public preview. Mistral says further reinforcement learning improved coding and defensive cybersecurity, and that reasoning efficiency lowered inference cost. The model adds three reasoning modes: Low for simple tasks, which replaces None, Medium for everyday tasks, and High, the default, for the hardest cases. It is available in Mistral Studio, through the Mistral API, and on OpenRouter. The weights can be downloaded from Hugging Face and served with vLLM or SGLang. The Mistral Ecosystem Open-Weight license, a modified MIT license, allows use, modification, fine-tuning, and commercialization, and a business that operates a model-as-a-service offering needs a separate commercial license from Mistral. API pricing is $0.70 per million input tokens, $0.07 per million cached input tokens, and $2.10 per million output tokens. Mistral says the model scores 19.7% on Cognition's FrontierCode 2.0 and 48% on the Artificial Analysis Coding Agent Index, effectively tied with GLM-5.3 while using 47% fewer tokens per task on average. It says Terminal-Bench 4.0 rose 13 percentage points from the public preview to 41%, with 30% fewer output tokens, and that the Artificial Analysis Cyber Index score is 51%, with a 96.6% average refusal rate on the malicious cyber prompts it measures. Mistral
Netlify
- GPT-6.1 Terra in AI Gateway and Agent Runners (): On October 26, 2026, OpenAI's GPT-6.1 Terra became available through Netlify's AI Gateway and Agent Runners. Netlify Functions can call it with the OpenAI SDK without a separate API key; the changelog example uses the Responses API with model gpt-6.1-terra. It is also available in Scheduled Functions, Background Functions, and Edge Functions, and those calls use Netlify's caching, rate limiting, and authentication. Netlify
OpenAI API
- GPT-6.1 Terra (): On October 26, 2026, OpenAI released GPT-6.1 Terra. It is available to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex, and in the API as gpt-6.1-terra. OpenAI describes it as a fast model for visual reasoning, computer use, and writing. Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens, which OpenAI says is 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. For the most complex coding tasks, OpenAI says GPT-6.1 Sol and GPT-6 Astra remain the better choice. OpenAI API
Replit
- Cloud Agents for existing repositories (): On October 27, 2026, Replit made Cloud Agents for existing repositories available to all Pro and Enterprise customers. Someone describes a change in plain language. The agent finds the relevant code, updates a live preview, and opens a GitHub pull request or a GitLab merge request that follows the team's skills and contribution guidelines. It can test the change in an isolated cloud sandbox by clicking through the running app, then attach screenshots and video to the request. Review feedback worth keeping can become a proposed skill update that an engineer approves before it takes effect; that part is in early access. An admin can share one environment: a Cloud Agent configures a virtual machine from the codebase, and it updates from the main branch. Mention or DM @Replit in Slack to start from a thread. The Slack integration is available to all customers, and a pull request can also be started from the Replit mobile app. Microsoft Teams support is coming soon. Connect a repository at replit.com/repos. Replit
Zed
- Zed 1.26.2 (): Released October 28, 2026. Adds Pyrefly as an optional built-in Python language server, expandable debugger hovers for nested variable values, and DWARF debugging for WebAssembly sources in the JavaScript debugger. ACP configuration defaults now apply only to new conversations. Agent model and configuration pickers search more accurately for Zed Agent and third-party ACP agents. OpenCode replay handles DeepSeek reasoning and can disable thinking for Google models, and thinking controls explain when thinking cannot be disabled at the selected effort level. The release also fixes hangs when restoring agent threads with subagents, a crash in the Agent Panel when a mentioned file name contains a line break, agent authentication overwriting drafts, duplicated thinking text from OpenAI-compatible providers that send both reasoning and reasoning_content, OpenCode requests failing for Claude models that use adaptive thinking block binding, and screenshots pasting twice into the Agent Panel or inline assistant. Zed
Canonical URL: https://stackpick.app/changelog/2026-w44
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