Turn your Cursor logs into a coach

We analyze your prompts, code diffs, and workflow to create a personalized training plan with custom exercises.

Try Demo First
Built for Cursor users
AI-powered analysis
Personalized exercises
cursor-session.log
// Analyzing your prompts...
const analysis = await analyzePrompts(logs);
// Generating personalized exercises...
const exercises = generateExercises(analysis);
// Report ready!
Your Progress
Context First
Score: 85%
Interface Design
Score: 72%
Progressive Refinement
Score: 91%

Trusted by developers using

C
Cursor
V
VS Code
G
GitHub
O
OpenAI
A
Anthropic
R
Replit

Value Triad

Analyze your logs

Prompt quality, structure, iteration efficiency.

Personalized report

Concrete strengths, gaps, and next steps.

Custom exercises

Auto-generated drills that target your weak spots.

How it works

From your Cursor logs to personalized training in four simple steps.

01

Connect or upload your Cursor session logs & code snapshots

Securely upload your Cursor logs and code diffs. We support local redaction options for privacy.

02

We parse prompts, responses, and diffs

Our AI analyzes your prompt quality, code structure, and iteration patterns to identify improvement areas.

03

You get a principle-based scorecard + insights

Receive a detailed report with scores across 50+ coding principles and actionable recommendations.

04

Train with generated exercises and watch scores rise

Practice with custom exercises designed to target your specific weaknesses and track your progress.

Upload Logs / Try a Demo with sample data

Principle-driven learning

We teach 50–100 principles of AI-native coding: Context First, Interface Before Implementation, Progressive Refinement, Diagnostic Prompts, and many more proven techniques.

Explore the Principles
Beginner

Context First

Prompt Architecture

Intermediate

Interface Before Implementation

Design Patterns

Advanced

Progressive Refinement

Development Process

Intermediate

Diagnostic Prompts

Debugging

Advanced

Test-Driven Development

Quality Assurance

Intermediate

Error Handling Patterns

Robustness

Beginner

Code Organization

Architecture

Advanced

Performance Optimization

Efficiency

Master AI-native development

Each principle is backed by real-world analysis of successful AI coding patterns. Learn from the best practices we've identified across thousands of development sessions.

View All PrinciplesStart Learning

Sample output

See what you'll get from your personalized analysis report.

Principle Scores

Context First
85% score
Interface Design
72% score
Progressive Refinement
91% score
Error Handling
68% score
Code Organization
79% score
Test Coverage
45% score

Top 3 Actionable Tips

  • 1

    Focus on providing more context in your initial prompts

  • 2

    Improve your test coverage with systematic test generation

  • 3

    Consider breaking down complex requests into smaller steps

Generated Exercise

Context-First Prompting

Write a prompt that includes: stack/framework, file structure, and specific constraints before requesting code generation.

Goal: Improve context completeness score from 68% to 85%
Difficulty: Medium
Open Full Sample Report

Pricing teaser

Start free. Pro features from $8/month.

View pricing

Roadmap / Future

Coming soon: VS Code plugin

VS Code plugin that works alongside Cursor to deliver live feedback in your IDE.

Learn more

Frequently Asked Questions

Everything you need to know about VibeCoding Academy.