Coding sessions: environments, browser use, and updated pricing
Linear Agent can now set up, run, and test your code before returning its work. That means fewer handoffs and changes that are further along when they come back to you. We’re also introducing lower, more transparent pricing, making AI credit usage easier to understand and control.
Also shipped Aug 20, 2026Linear in August 2026 →
BigQuery adds ML.TREND, ML.SEASONALITY and ML.DETECT_CHANGE_POINTS in preview
New table-valued functions in the query editor and conversational analytics identify trends, repeating seasonal patterns and structural change points in time series data.
BigQuery Graph core processing limited to Enterprise editions from April 26, 2027
Standard edition and on-demand billing support for BigQuery Graph core graph processing is deprecated, with processing restricted to Enterprise and Enterprise Plus from April 26, 2027. Graph measures remain available except in Standard edition.
The run_bq_command tool exposes the bq command-line tool within the Cloud CLI remote MCP server
The run_bq_command tool exposes the bq command-line tool within the Cloud CLI remote MCP server. AI agents can now execute advanced BigQuery operations, such as job scheduling, job management, and reservation management, through a managed MCP endpoint. For more information, see Use the Cloud CLI remote MCP server . This feature is in Preview .
AI_EXTRACT and AI_PARSE_DOCUMENT support for client-side encrypted stages and network-restricted accounts (General availability)
AI_EXTRACT and AI_PARSE_DOCUMENT now support documents stored on stages that use client-side or server-side encryption, including in accounts that use PrivateLink or other network policies that restrict public network access to stages. For more information, see the following topics:
Cortex Agent code execution tool (Preview)
The Cortex Agent code execution tool is now in public preview. When you enable the tool on an agent, the agent can generate and run Python in a secure, isolated sandbox to process data, perform calculations, and produce visualizations.
Salesforce connector mTLS authentication is now generally available
Mutual TLS (mTLS) authentication for the Salesforce connector in Lakeflow Connect is now generally available. With mTLS, Databricks and Salesforce exchange and verify client certificates to establish two-way trust, combined with the OAuth client credentials flow. Choose it for API-only users or when your organization requires mTLS.
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Team initiatives
Initiatives are Linear's way to manage product strategy and high-level planning across projects. Strategy may start at the company level, but teams carry it forward. You can now assign a team to lead an initiative, making it clear who is responsible for driving the work and how it contributes to the broader direction.
Priority inbox
An active workspace can create a significant amount of notifications each day, and until now your inbox treated them all the same. The new Priority tab separates what needs your attention from what can wait, so something like a review blocking a release never gets buried.
Coding sessions on mobile
Your coding session doesn’t have to stop when you leave your desk. Use the Linear mobile app to review code changes, comment on specific lines, and iterate with Linear Agent. Open any diff and switch to the Changes tab to inspect the code.
Loops for product management
Loops are recurring agent workflows for teams. They now respond to more workspace activity, including changes to initiatives, projects, and cycles. They can also edit Linear documents and post updates to Slack. Teams change project plans all the time.
Text attribution and agent-assisted editing
Documents and project descriptions are critical context for your teams and agents. You can now edit text with Linear Agent, and use Loops to keep docs and project descriptions up-to-date. Author name indicators let you check if text was written by a colleague or added by a loop.
Introducing Loops
Loops are a new way for Linear Agent to take on recurring work for your team. Describe the job in plain language and then choose whether it should run on a schedule or in response to an event. From there, Loops use context from your workspace and connected tools to decide on the next best action.
New controls for Linear coding agent
Coding sessions are the shortest path from issue to diff. Assign a task to Linear Agent, and it works in a secure cloud environment to write and test the code before opening a pull request for review. We’re adding more control over how each session runs, from its environment to the models behind it.
Stacked pull requests
Stacked pull requests are now displayed in Linear Diffs. Move through a stack and see review, CI, and merge status at a glance. Related PRs are grouped into a single collapsible row in Reviews, alongside their issue and project context. For GitHub-native stacks, you can preview every affected PR before merging the current PR and those below from Linear.