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Release Notes for 2026.1.0 Release - January 8, 2026


New Features

New Metrics

A new set of metrics that provide deeper visibility into how engineering work progresses across coding, collaboration, AI usage, and focus time. These metrics help teams better understand productivity patterns, workflow continuity, and where time and effort are being spent throughout the development lifecycle.

  • CodeTogether Usage
    • Tracking Coverage: Quantifies the reliability of the data by measuring the portion of commits linked to tracked activity.
  • AI Usage
    • Code from Human: Represents the manual coding effort contributed by developers.
    • Infrequent Usage: Highlights potential adoption gaps or resistance to new tooling within the team.
    • Overall Usage: Tracks the breadth of AI tool adoption across the engineering organization.
  • In-IDE Behavior
    • Coding: Isolates the time spent actively writing and modifying code, representing the core implementation phase.
    • Debugging: Reflects the effort spent troubleshooting and fixing issues within the IDE.
    • Exploration: Captures the time spent reading and navigating code to understand logic and dependencies.
    • Unit Testing: Tracks the investment in creating and running automated tests during development.
  • Continuity
    • Coding Stalled Now: Pinpoints tasks that are actively in development but have seen no recent progress.
    • Recently Stalled: Highlights work that began but was abandoned or paused before reaching the review stage.
    • PRs Stalled Now: Identifies bottlenecks in the review process where work is waiting for feedback.
  • Task Efficiency
    • Time to Task Start: Measures the latency between a task being assigned or activated and work actually beginning.
    • Coding: Combines coding speed and typing efficiency to provide a balanced view of technical proficiency and workflow smoothness.
  • Task Estimation
    • With Estimate: Counts the volume of tasks that have an assigned effort estimate.
  • Focus Time
    • Flow State: Measures the time spent in deep, uninterrupted concentration, which is essential for complex problem solving.
    • Flow Interruptions: Quantifies the frequency with which deep work sessions are broken by external factors.
    • Time to Flow State: Measures the friction involved in settling into a productive coding session.
  • Pull Requests Metrics
    • Acceptance Rate: Measures the efficiency of the review process by tracking how often code is merged versus rejected or reworked.

Metric Groups

Metrics are now organized into groups that into clear, purpose-driven categories such as AI Usage, In-IDE Behavior, Continuity, and Task Efficiency. This grouping makes it easier to explore related metrics together, compare trends, and build more meaningful reports and dashboards.

All metrics in the system are now assigned the following groups:

  • AI Usage
  • CodeTogether Usage
  • Collaboration
  • Continuity
  • In-IDE Behavior
  • Focus Time
  • Pull Requests
  • Task Activity
  • Task Efficiency
  • Task Estimation
  • Satisfaction
  • Work Distribution
New Reporting Groups

Improvements

Simplified Project On-Boarding

The new project flow enables a smooth onboarding process by guiding users through setup with clearer steps and improved feedback. This reduces friction during initial configuration and helps teams get projects up and running faster.

Metric Units

New Reporting GroupsNew Reporting Groups
To provide more flexible reporting, some of metrics now support multiple units of measurement. Rather than being restricted to a single view - such as a simple count or a percentage - you can now toggle between different units to gain a more nuanced perspective on your data.

Clearer Metrics Names

Some metrics were renamed to better reflect their intent and make their meaning clearer and more intuitive for users. These updates improve readability and consistency across reports and dashboards without changing the underlying calculations.
New Reporting GroupsNew Reporting Groups

Bug Fixes

Improved Commit Synchronization

As part of the simplified onboarding work, the daemon’s data synchronization with the backend was improved to reduce errors and ensure more accurate and reliable data.

Reduced IDE Memory Overhead

Improvements to data collection based on Git activity and events resulted in better performance and reduced overhead in the CodeTogether IDE and daemon.

Improved AI Usage Capture

The daemon now more accurately detects AI usage based on IDE activity patterns, enabling clearer insights into how AI tools are used across the organization.

Deprecated

Audio/Video Features

Starting with version 2026.1.0, we have retired the Audio/Video feature within our collaboration suite. This adjustment follows an extensive review of feature usage and is part of our commitment to streamlining the platform experience and prioritizing the tools most utilized by our community.