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Actual AI

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Measure and improve dev team performance with AI insights

Developer Agents Programming

Overview

Actual AI is an engineering intelligence platform that empowers teams to measure developer performance, identify AI-augmented top talent, and optimize team effectiveness. It streamlines reporting, boosts visibility for engineering managers, and helps companies track the true impact of AI on software development.

Key Features:

  • Automated progress reports and meeting agendas to save engineering managers over 15 hours per week
  • Advanced code-review pipeline to surface high-performing AI-enabled developers
  • Team and repo-level productivity and engagement insights based on real code and collaboration data

Use Cases:

  • Quantifying the productivity and impact of developers across multiple repositories
  • Recognizing and rewarding AI-augmented developers often overlooked by traditional metrics
  • Streamlining management workflows with automated reporting and actionable insights

Benefits:

  • Enables data-driven engineering leadership and flatter team structures
  • Improves team morale and performance visibility through transparent feedback loops
  • Supports scalable, AI-native software development with minimal onboarding

Capabilities

  • Generates progress reports and meeting agendas automatically.
  • Tracks productivity across developers, repos, and teams.
  • Identifies high-performing AI-augmented developers.
  • Surfaces hidden contributors often missed by manual evaluation.
  • Analyzes code changes and engagement signals.
  • Supports flatter team structures by automating reporting.
  • Provides daily, weekly, and quarterly performance summaries.
  • Detects trends in development output and collaboration quality.
  • Integrates with GitHub for seamless team-wide analysis.
  • Reduces management overhead with data-driven insights.
  • Improves developer recognition and incentive alignment.
  • Supports enterprise deployment with SAML and in-VPC options.
  • Onboards teams in under five minutes with minimal setup.
  • Measures the impact of AI on software team performance.

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