Learning path
Tech Lead learning path: everything to study, topic by topic
Comprehensive Tech Lead assessment covering architecture, code quality, technical debt management, mentoring, incident management, and systems thinking.
Short answer
To learn Tech Lead, work through 6 modules and 32 topics in the order they build on each other. It starts with Architecture & Design, then moves on to Code Quality & Standards and Technical Debt Management. Use the map as a checklist, or measure your level and study only what is missing.
What you will study
Topics are grouped by module. Open one to see its objectives and key concepts.
1 · Architecture & Design5 topics
Design Patterns
Applying creational, structural, and behavioral design patterns to real-world codebases
Objectives
- Select the right pattern for a given problem
- Explain trade-offs between competing patterns
Key concepts
- factory pattern
- strategy pattern
- observer pattern
- adapter pattern
- singleton trade-offs
- composition over inheritance
System Design
Designing scalable systems with appropriate component decomposition and communication patterns
Objectives
- Decompose a monolith into services with clear boundaries
- Choose communication patterns for distributed components
Key concepts
- microservices vs monolith
- event-driven architecture
- API gateway
- service mesh
- CQRS
- domain-driven design
API Design
Designing RESTful, GraphQL, and gRPC APIs with consistency, versioning, and documentation
Objectives
- Design a consistent API contract
- Choose between REST, GraphQL, and gRPC for a use case
Key concepts
- REST conventions
- API versioning
- pagination strategies
- error formats
- idempotency
- rate limiting
- OpenAPI spec
Data Modeling
Designing data schemas for relational, document, and key-value stores with trade-off awareness
Objectives
- Model data for a specific access pattern
- Evaluate normalization vs denormalization trade-offs
Key concepts
- normalization vs denormalization
- single-table design
- access pattern analysis
- schema evolution
- eventual consistency
- polyglot persistence
Architectural Trade-offs at Team Scale
Making and defending architectural decisions for team-scale systems: build vs buy, monolith vs microservices, synchronous vs async
Objectives
- Apply a structured framework to make and document build vs buy decisions
- Distinguish reversible from irreversible architectural decisions and apply appropriate rigor
Key concepts
- build vs buy
- monolith vs microservices
- sync vs async
- CAP theorem application
- reversible vs irreversible decisions
- ADRs
- RFC process
2 · Code Quality & Standards6 topics
Code Review
Running effective code reviews that improve quality, share knowledge, and maintain velocity
Objectives
- Give actionable code review feedback
- Balance thoroughness with review speed
Key concepts
- review checklist
- constructive feedback
- PR size guidelines
- automated checks
- approval policies
- review latency
Testing Strategy
Designing test pyramids, choosing test types, and balancing coverage with maintenance cost
Objectives
- Design an appropriate test strategy for a project
- Explain why test pyramid ratios matter
Key concepts
- test pyramid
- unit vs integration vs e2e
- test doubles
- property-based testing
- coverage targets
- flaky test management
CI/CD Pipeline
Designing continuous integration and deployment pipelines for fast, safe delivery
Objectives
- Design a CI/CD pipeline for a team
- Choose deployment strategies to minimize risk
Key concepts
- build stages
- artifact management
- deployment strategies
- blue-green deployments
- canary releases
- feature flags
- rollback automation
Coding Standards
Establishing, enforcing, and evolving coding standards and style guides across a team
Objectives
- Introduce coding standards without slowing the team
- Balance strictness with pragmatism
Key concepts
- linters
- formatters
- pre-commit hooks
- style guides
- naming conventions
- documentation standards
- ADRs
Dependency Management
Managing third-party dependencies, version pinning, security scanning, and upgrade strategies
Objectives
- Design a dependency update policy
- Evaluate supply chain risk for a new dependency
Key concepts
- semantic versioning
- lock files
- vulnerability scanning
- license compliance
- Dependabot
- supply chain security
AI-Assisted Development
Leveraging AI coding assistants and tools to accelerate development while maintaining code quality, security, and team skill growth
Objectives
- Define team guidelines for responsible AI-assisted development
- Evaluate when AI tools accelerate versus hinder engineering quality
Key concepts
- GitHub Copilot
- Claude Code
- AI code review
- AI-assisted debugging
- prompt engineering for developers
- AI pair programming
3 · Technical Debt Management5 topics
Identifying Tech Debt
Recognizing deliberate, accidental, and bit-rot technical debt in a codebase
Objectives
- Categorize technical debt by type and urgency
- Use metrics to surface hidden debt
Key concepts
- deliberate vs accidental debt
- code smells
- static analysis
- coupling metrics
- cognitive complexity
- tech debt quadrant
Quantifying Impact
Measuring the cost of technical debt in terms of velocity, reliability, and developer experience
Objectives
- Build a business case for paying down tech debt
- Correlate debt with delivery metrics
Key concepts
- DORA metrics
- developer experience surveys
- incident correlation
- cycle time impact
- cost of delay
- debt interest metaphor
Refactoring Strategy
Planning and executing refactoring campaigns that improve code without breaking features
Objectives
- Plan a refactoring that can be delivered incrementally
- Mitigate risk during large-scale refactors
Key concepts
- strangler fig pattern
- branch by abstraction
- characterization tests
- safe refactoring moves
- feature toggle isolation
- incremental delivery
Incremental Migration
Migrating legacy systems progressively while maintaining production stability
Objectives
- Design a phased migration plan
- Handle dual-write and data consistency during migrations
Key concepts
- strangler fig migration
- dual-write pattern
- data migration strategy
- backward compatibility
- rollback plans
- traffic shifting
Tech Debt Prioritization Frameworks
Systematically identifying, quantifying, and prioritizing technical debt using debt registers, impact analysis, and investment modeling
Objectives
- Build and maintain a tech debt register with quantified business impact
- Negotiate tech debt investment with product stakeholders using ROI framing
Key concepts
- debt register
- hotspot analysis
- debt ROI
- refactoring sprints
- strangler fig pattern
- debt velocity
- tech debt vs product backlog trade-off
4 · Mentoring & Knowledge Sharing6 topics
Pair Programming
Using pair programming effectively as a teaching and quality tool
Objectives
- Decide when pairing adds value
- Run a productive pairing session
Key concepts
- driver/navigator roles
- remote pairing tools
- when to pair vs solo
- mob programming
- knowledge transfer
- pairing anti-patterns
Tech Talks
Preparing and delivering internal technical presentations to upskill the team
Objectives
- Structure a tech talk for mixed-level audiences
- Measure knowledge sharing effectiveness
Key concepts
- audience calibration
- live coding demos
- abstract vs concrete examples
- knowledge base curation
- lunch-and-learn format
- recording and async consumption
Design Reviews
Facilitating design reviews that produce better architectures and develop team skills
Objectives
- Facilitate a design review that surfaces risks early
- Document architectural decisions for future readers
Key concepts
- RFC process
- design doc templates
- trade-off documentation
- decision records
- inclusive facilitation
- asynchronous review
Growing Junior Engineers
Creating growth plans, providing feedback, and accelerating junior engineer development
Objectives
- Create a 90-day growth plan for a junior engineer
- Give feedback that is specific, timely, and actionable
Key concepts
- individual development plans
- stretch assignments
- feedback frameworks (SBI)
- delegation levels
- psychological safety
- career ladder mapping
Technical Writing
Creating high-quality technical documents — RFCs, design docs, runbooks, and ADRs — that drive alignment, preserve decisions, and scale knowledge across the organization
Objectives
- Write an RFC that drives clear decision-making across teams
- Build a documentation culture that scales with team growth
Key concepts
- RFC/design doc writing
- API documentation
- runbooks
- ADRs
- knowledge sharing
- documentation culture
Growing Senior Engineers
Developing senior engineers into staff/principal-level contributors through stretch projects, sponsorship, and feedback
Objectives
- Design a growth plan for a senior engineer targeting staff-level scope
- Apply sponsorship (creating opportunities) vs mentorship (giving advice) appropriately
Key concepts
- sponsorship vs mentorship
- stretch assignments
- staff engineer traits
- visibility opportunities
- feedback culture
- performance growth plans
- 1:1 structure
5 · Incident Management4 topics
On-Call Design
Designing sustainable on-call rotations with clear escalation paths and runbooks
Objectives
- Design an on-call rotation that avoids burnout
- Write runbooks that a new team member can follow
Key concepts
- rotation scheduling
- escalation policies
- runbook authoring
- alert fatigue reduction
- compensation models
- shadow on-call
Incident Response
Leading incident response with clear communication, structured triage, and fast resolution
Objectives
- Lead an incident from detection to resolution
- Communicate incident impact to non-technical stakeholders
Key concepts
- incident commander role
- severity classification
- status page updates
- stakeholder communication
- war room coordination
- mitigation vs root cause
Post-Mortems
Conducting blameless post-mortems that produce actionable improvements
Objectives
- Facilitate a blameless post-mortem
- Write action items that prevent recurrence
Key concepts
- blameless culture
- timeline reconstruction
- contributing factors
- action items with owners
- 5 whys
- systemic fixes vs band-aids
SLO/SLA Management
Defining, measuring, and managing service level objectives and agreements
Objectives
- Define SLOs that balance reliability with velocity
- Use error budgets to make development decisions
Key concepts
- SLI vs SLO vs SLA
- error budgets
- burn rate alerts
- customer-facing vs internal SLOs
- SLO review cadence
- reliability tax
6 · Systems Thinking6 topics
Distributed Systems Trade-offs
Analyzing CAP theorem, consistency models, and partition tolerance in distributed systems
Objectives
- Analyze consistency vs availability trade-offs for a use case
- Design idempotent operations for distributed systems
Key concepts
- CAP theorem
- eventual consistency
- strong consistency
- idempotency
- distributed transactions
- saga pattern
- network partitions
Capacity Planning
Forecasting resource needs and scaling infrastructure ahead of demand
Objectives
- Create a capacity plan for a growing service
- Balance cost with headroom for traffic spikes
Key concepts
- load testing
- traffic modeling
- horizontal vs vertical scaling
- auto-scaling policies
- resource reservation
- cost optimization
Reliability Engineering
Building reliable systems through redundancy, fault tolerance, and chaos engineering
Objectives
- Design a chaos engineering experiment
- Implement graceful degradation for critical paths
Key concepts
- chaos engineering
- circuit breakers
- bulkheads
- retry with backoff
- graceful degradation
- game days
- fault injection
Performance Budgets
Setting, enforcing, and optimizing performance budgets across the stack
Objectives
- Set meaningful performance budgets for a service
- Identify and resolve performance regressions
Key concepts
- latency percentiles (p50, p95, p99)
- throughput targets
- resource budgets
- performance regression detection
- profiling workflows
- Amdahl's law
Technical Vision & Roadmap Communication
Crafting and communicating technical vision and roadmaps to engineering teams and executive stakeholders
Objectives
- Write a technical vision document that aligns a team around a multi-year architecture
- Present a technical roadmap to executives with risk and investment framing
Key concepts
- technical vision documents
- roadmap storytelling
- north star architecture
- conviction vs consensus
- roadmap formats
- engineering bets
- executive buy-in
Technical Due Diligence & Acquisitions
Conducting technical due diligence for M&A: codebase assessment, architecture review, team evaluation, and integration planning
Objectives
- Conduct a structured technical due diligence assessment within a 2-week window
- Identify key person dependencies and integration risks before an acquisition closes
Key concepts
- codebase assessment
- architecture review
- tech debt inventory
- team evaluation
- integration risk
- key person dependencies
- post-acquisition integration
Levels: Junior, Mid, Senior, and Expert
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Frequently asked questions
Where should I start studying Tech Lead?
Start with Architecture & Design: Design Patterns, System Design, and API Design. The map orders topics by what they depend on, so each one prepares the next.
How long does a full Tech Lead assessment take?
A full assessment of this path takes about 50 minutes. Study time depends on where you start; a diagnostic shows which topics you can skip.
Do I need an account to use this page?
No. The map, objectives and key concepts are open. You only need an account to be measured, get your gap by topic and receive a plan.