Who Uses ContextDigger?
Real developers, real challenges, real solutions
From junior developers navigating their first large codebase to tech leads preserving team knowledge, ContextDigger adapts to your workflow and experience level.
Sarah - Junior Developer
Role: Frontend Developer, 6 months experience
Company: E-commerce startup with 150k LOC codebase
❌ The Challenge
- • First week: Completely overwhelmed by codebase size
- • Doesn't know where anything is
- • Keeps getting lost between files
- • Afraid to ask "stupid questions" constantly
- • Takes 30+ minutes to find the right file for each task
✅ With ContextDigger
- • Day 1: Runs
/init-dig- instantly sees project structure - • Bookmarks key areas with
/mark-spot - • Uses
/dig-historyto retrace her steps - • Reads team notes via
/dig-wiki - • Productive by day 3 instead of week 3
Sarah's Daily Workflow
/dig-dashboard
See what she worked on yesterday, pick up where she left off
/dig-search "shopping cart"
Find relevant code areas instantly
/dig-deps
Understand how components connect
/dig-note "Fixed checkout bug in CartService"
Document what she learned
Result: Sarah is now mentoring the next new hire on how to use ContextDigger. Her onboarding time went from 4 weeks to 1 week.
Marcus - Senior Software Engineer
Role: Backend Lead, 8 years experience
Company: Fintech with legacy monolith (500k LOC)
❌ The Challenge
- • Tasked with refactoring critical authentication system
- • Afraid of breaking production
- • No clear way to see all dependencies
- • Manual code search takes hours
- • Can't track what's been changed during refactor
✅ With ContextDigger
- •
/dig-deps authentication- Maps all dependencies - •
/dig-impact- Sees what will break - •
/dig-snapshot pre-refactor- Saves baseline - •
/dig-hotspots- Finds frequently changed files - • Confident refactor with zero production incidents
Marcus's Refactoring Process
Week 1: Analysis
/dig-deps authentication/dig-impact/dig-coverage/dig-snapshot baselineComplete dependency map created
Week 2-3: Execution
/mark-spot critical-points/dig-history/dig-note/dig-statsSystematic refactoring with full tracking
Week 4: Validation
/dig-diff/dig-gaps/dig-report final/dig-wikiVerified changes, documented everything
Result: 6-month refactor completed in 4 weeks. Zero breaking changes in production. Complete documentation for future maintainers.
Elena - Engineering Manager / Tech Lead
Role: Lead of 12-person engineering team
Company: SaaS platform serving 50k+ customers
❌ The Challenge
- • Team knowledge lives in people's heads
- • When developers leave, context is lost
- • No visibility into what team members are working on
- • Documentation is always outdated
- • Code ownership is unclear
✅ With ContextDigger
- •
/dig-team- Real-time team presence - •
/dig-wiki- Auto-maintained knowledge base - •
/dig-who- Clear code ownership - •
/dig-activity- Team activity dashboard - • Team knowledge preserved and searchable
Elena's Team Management Workflow
📊 Daily Standup Prep (9am)
/dig-activity See what everyone worked on yesterday
/dig-team Check current team focus areas
📝 Knowledge Management
• Requires team to use /dig-note for discoveries
• Weekly /dig-wiki review and updates
• Onboarding docs auto-generated from team notes
👥 Code Ownership
/dig-who payments - "Marcus is the expert"
/dig-who frontend - "Sarah and Jordan"
Clear ownership = faster decisions
Result: When two senior engineers left, zero context was lost. New hires access complete team wiki. Engineering velocity increased 40%.
Alex - Freelance Full-Stack Developer
Role: Solo consultant juggling 5 client projects
Challenge: Context switching between completely different codebases
❌ The Challenge
- • Switches between 5 different projects daily
- • Every context switch takes 20-30 minutes
- • "Where was I?" syndrome constantly
- • Loses track of TODOs across projects
- • Wastes 2+ hours/day just getting back into context
✅ With ContextDigger
- •
/dig-snapshot- Saves context before switching - •
/dig-load- Restores exactly where he left off - •
/goto-spot- Instant jumps to bookmarks - •
/dig-history- See what was done yesterday - • Context switches now take 2 minutes, not 20
Alex's Multi-Project Day
/dig-load client-a-checkout - Instantly back in context/dig-snapshot client-a-checkout - Saves progress/dig-load client-b-hipaa - Different project, different context/dig-snapshot client-b-hipaa/dig-load saas-mvp - Side project context loaded/dig-snapshot saas-mvpResult: Alex handles 5 projects efficiently. Billable hours increased by 10 hours/week. Client satisfaction up 50% due to faster turnaround.
Jordan - Staff Engineer (Code Review Focus)
Role: Senior IC, reviews 20+ PRs per week
Company: High-growth startup, fast-paced development
❌ The Challenge
- • Reviews take too long - blocking team velocity
- • Hard to understand change impact without full context
- • Misses subtle bugs in dependencies
- • Can't verify if tests cover critical paths
- • Spends 3+ hours daily on reviews
✅ With ContextDigger
- •
/dig-impact- See full blast radius - •
/dig-deps- Understand dependencies - •
/dig-coverage- Verify test coverage - •
/dig-history- See related changes - • Reviews are thorough AND fast
Jordan's PR Review Process
Old Way (45 min/PR)
1. Read PR description
2. Manually trace through files
3. Search for usages across codebase
4. Check test files manually
5. Look for related code
6. Write review comments
⏱️ Total: 45 minutes per PR
With ContextDigger (15 min/PR)
/dig backend-api Navigate to changed area
/dig-impact See all affected code - 30 seconds
/dig-deps Understand dependencies
/dig-coverage Verify tests - instant
⏱️ Total: 15 minutes per PR
Example Review
PR: "Add rate limiting to API endpoints"
✓ /dig-impact api-endpoints - Found 23 affected endpoints
✓ /dig-deps rate-limiter - Verified no circular dependencies
✓ /dig-coverage - Coverage 95% → Requested more tests for edge cases
✓ /dig-history - Found similar pattern from last month
Result: Review time cut by 66%. Jordan now reviews 35 PRs/week with higher quality. Team velocity increased 30%.
Which Persona Are You?
No matter your role, ContextDigger adapts to your workflow