Find Your Workflow

ContextDigger adapts to how you work with code

Whether you're learning your first large codebase or leading a team of engineers, ContextDigger governs what AI is allowed to see so you can navigate, understand, and collaborate on code with clear boundaries.

🎓

Learning & Onboarding

This workflow is for you if you are:

  • Junior Developer - First large codebase
  • Bootcamp Graduate - Transitioning to professional development
  • New Team Member - Joining an existing project
  • CS Student - Contributing to open source
  • Career Changer - Learning to code professionally
👩‍💻

Meet Sarah

Junior Frontend Developer - 6 months experience

E-commerce startup with 150k LOC codebase

❌ The Challenge

  • • First week: Completely overwhelmed by codebase size
  • • Takes 30+ minutes to find the right file for each task
  • • Keeps getting lost between files
  • • Afraid to ask "stupid questions" constantly
  • • No idea how components connect to each other

✅ With ContextDigger

  • Day 1: Runs /init-dig - instant project structure
  • Bookmarks: Uses /mark-spot for key areas
  • Never lost: /dig-history retraces steps
  • Learns fast: Reads team notes via /dig-wiki
  • Productive by day 3 instead of week 3

Sarah's Daily Workflow

/dig-dashboard → See yesterday's work, pick up where she left off
/dig-search "shopping cart" → Find relevant code instantly
/dig-deps → Understand how components connect
/dig-note "Fixed checkout bug" → Document what she learned

Result: Sarah now mentors new hires on using ContextDigger. Her onboarding went from 4 weeks to 1 week.

👤

Solo Development

This workflow is for you if you are:

  • Freelance Developer - Juggling multiple client projects
  • Indie Hacker - Building your own SaaS products
  • Solo Founder - Wearing all the technical hats
  • Side Project Builder - Coding outside of work hours
  • Consultant - Moving between different codebases
🧑‍💻

Meet Alex

Freelance Full-Stack Developer

Juggling 5 client projects simultaneously

❌ 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

9am - Client A (E-commerce) - 2 hours
/dig-load client-a-checkout → Work → /dig-snapshot
11am - Client B (Healthcare) - 3 hours
/dig-load client-b-hipaa → Fix bug → /dig-snapshot
2pm - Personal SaaS - 2 hours
/dig-load saas-mvp → Ship feature → /dig-snapshot

Result: Alex handles 5 projects efficiently. Billable hours increased by 10 hours/week. Client satisfaction up 50%.

👥

Team Collaboration

This workflow is for you if you are:

  • Mid-Level Developer - Working on team projects
  • Senior Engineer - Collaborating on large features
  • Backend/Frontend Developer - Coordinating with team
  • Full-Stack Developer - Working across multiple areas
  • Pair Programmer - Sharing context with teammates
👨‍💼

Meet Marcus

Senior Software Engineer - 8 years experience

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
/dig-impact
/dig-snapshot
Week 2-3: Execute
/mark-spot
/dig-history
/dig-note
Week 4: Validate
/dig-diff
/dig-gaps
/dig-report

Result: 6-month refactor completed in 4 weeks. Zero breaking changes. Complete documentation for future maintainers.

👔

Team Leadership

This workflow is for you if you are:

  • Tech Lead - Leading technical direction for a team
  • Engineering Manager - Managing developers
  • Team Lead - Coordinating team work
  • Software Architect - Overseeing system design
  • Scrum Master/Agile Lead - Facilitating team processes
👩‍🏫

Meet Elena

Engineering Manager / Tech Lead

Leading 12-person engineering team at SaaS platform

❌ 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 - Team activity via git sync
  • /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 → Yesterday's work
/dig-team → Current focus areas
📝 Knowledge Management
Team uses /dig-note for discoveries → Weekly /dig-wiki review
👥 Code Ownership
/dig-who payments → "Marcus is the expert"

Result: When two senior engineers left, zero context was lost. New hires access complete team wiki. Velocity increased 40%.

🔬

Code Review & Quality

This workflow is for you if you are:

  • Staff Engineer - Reviewing architecture and design
  • Senior IC - Focused on code quality
  • Code Reviewer - Reviewing 20+ PRs per week
  • Software Architect - Ensuring system consistency
  • QA Engineer - Verifying test coverage and quality
👨‍🔬

Meet Jordan

Staff Engineer (Code Review Focus)

Reviews 20+ PRs per week at high-growth startup

❌ 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
4. Check tests manually
5. Look for related code
⏱️ Total: 45 minutes
With ContextDigger (15 min/PR)
/dig-impact → 30 seconds
/dig-deps → Instant
/dig-coverage → Instant
⏱️ Total: 15 minutes

Result: Review time cut by 66%. Jordan now reviews 35 PRs/week with higher quality. Team velocity increased 30%.

📊

Non-Developer Stakeholders

This workflow is for you if you are:

  • Product Manager - Understanding technical architecture for roadmapping
  • Technical Writer - Documenting code structure and APIs
  • Designer - Understanding component relationships
  • Business Analyst - Assessing feature complexity
  • Project Manager - Tracking technical progress
📊

Product Manager

Roadmap planning & feature scoping

Common Challenges

  • • Can't estimate feature complexity
  • • Needs dev help to understand dependencies
  • • Struggles to communicate about technical debt
  • • No visibility into what's actually being built

How ContextDigger Helps

/dig-dashboard - Understand codebase structure
/dig-deps feature-x - See feature dependencies
/dig-impact - Estimate change complexity
/dig-team - Know what eng is working on
/dig-hotspots - Identify tech debt areas

Result: Make informed product decisions, better estimates, improved eng/PM communication

📝

Technical Writer

Documentation & knowledge capture

Common Challenges

  • • Doesn't know which areas need documentation
  • • Can't find code owners to interview
  • • Documentation gets out of sync with code
  • • No way to track coverage gaps

How ContextDigger Helps

/dig-gaps - Find undocumented areas
/dig-who payment-api - Find code owners
/dig-wiki - Maintain knowledge base
/dig-hotspots - Prioritize frequently-changed areas
/dig-note - Add inline documentation

Result: Complete, accurate documentation. Coverage gaps identified. Team knowledge preserved.

ContextDigger makes technical architecture accessible to non-developers

No coding required to understand codebase structure, dependencies, and team activity

Which Workflow Fits You?

ContextDigger adapts to how you work with code