The Only Platform Tracking
Individual AI Coding Sessions
119 session-level metrics across 5 AI providers. Measure what other platforms can't: actual AI productivity and effectiveness.
What Other Platforms Miss
Other DX platforms track AI "adoption" (did someone use an AI tool?). GuideMode tracks AI effectiveness (did the AI help or hurt productivity?).
Other Platforms
- ❌ "AI adoption rate" (binary: used or not)
- ❌ No session-level tracking
- ❌ No AI provider comparison
- ❌ No productivity metrics
- ❌ Can't answer: "Did AI make us faster?"
GuideMode
- ✓ 119 session-level metrics
- ✓ Full conversation tracking
- ✓ Compare 5 AI providers
- ✓ Plan mode & todo efficiency
- ✓ Answers: "Which AI makes us most productive?"
Track All Major AI Coding Assistants
Comprehensive session tracking across every major AI coding platform
Claude Code
Full session tracking with plan mode, todo lists, and git operations
Cursor
Complete interaction monitoring and conversation tracking
GitHub Copilot
Session analytics and code suggestion tracking
Gemini Code Assist
Full conversation and tool usage tracking
OpenCode
Session monitoring and analytics
Compare AI providers side-by-side to see which makes your team most productive
119 Session-Level Metrics
Deep insights into every AI coding session — from conversation quality to code output
Conversation Metrics
Message count, turn-taking, context length, token usage, conversation depth
Plan Mode Tracking
Plan mode usage, plan quality, implementation success rate, plan-to-code ratio
Todo List Analysis
Todo creation rate, completion rate, task breakdown quality, progress tracking
Git Operations
Commits per session, file change count, git efficiency ratio, commit message quality
Code Quality
Lines of code, file operations, edit efficiency, code review readiness
Productivity Metrics
Session duration, tasks completed, output quality, developer satisfaction
Session Success
Goal achievement, error resolution, code acceptance rate, user satisfaction
Tool Usage
Tool call frequency, tool success rate, tool diversity, automation level
Learning Velocity
Improvement over time, skill development, pattern recognition, efficiency gains
AI Productivity Cube
Dedicated analytics cube for AI productivity tracking with 7 dimensions and 6 measures
Dimensions
Measures
Example Analysis: "Which AI provider has the highest success rate for refactoring tasks on the backend team?"
Real Questions, Real Answers
AI session intelligence lets you answer questions other platforms can't
"Which AI provider makes our team most productive?"
Compare session success rates, task completion, and code output across Claude Code, Cursor, Copilot, Gemini, and OpenCode
"Is our AI productivity improving over time?"
Track learning velocity, session efficiency trends, and skill development month over month
"Does plan mode actually help?"
Compare success rates for sessions with vs without plan mode across different task types
"What's our actual ROI on AI coding tools?"
Measure productivity gains, time savings, and code quality improvements with hard data
"Which developers need AI coaching?"
Identify struggling developers and share best practices from high performers
"Are we using AI for the right tasks?"
Break down task categories by success rate to find AI's sweet spot
Privacy-First by Design
AI sessions are monitored locally on your machine by default. You control what (if anything) syncs to the cloud.
All tracking happens on your machine
Sync nothing, metrics only, or full sessions
Different privacy settings for each project
Start Tracking AI Productivity
The only platform measuring actual AI effectiveness, not just adoption. Get insights other platforms can't provide.