Senior Engineer Onboarding
How to onboard as a senior engineer: mapping an unfamiliar stack before day 1, reading architecture from config files, finding and shipping the first PR, handling tech stack gaps, managing information overload, building a personal knowledge system, using AI with balance, and communicating ownership to your manager. Includes concrete patterns for serverless Java, DynamoDB access design, and LangGraph-based AI features.
FoundationsTopics 1–14
- ·What this guide covers
- ·The example context
- ·The senior onboarding mindset
- ·Mapping the stack before day 1
- ·Reading the architecture fast
- ·Finding and shipping the first PR
- ·Handling a tech stack gap
- ·Knowledge management and context tools
- ·Managing information overload
- ·AI-assisted onboarding with balance
- ·The 30-60-90 day framework
- ·Communicating ownership upward
- ·Testing in an unfamiliar stack
- ·AI tooling setup for onboarding
Start Foundations →
AI IntegrationTopics 1–6
- ·The AI-first engineering role
- ·LangGraph production patterns
- ·MCP: building tools for LLMs
- ·Claude API tool use
- ·Structured output for document extraction
- ·Assessing AI approaches as a senior
Start AI Integration →
AdvancedTopics 1–7
- ·Owning a system end-to-end
- ·Debugging production in unfamiliar code
- ·Making architectural decisions
- ·Navigating technical debt
- ·Performance and cost at scale
- ·Mentoring while still onboarding
- ·Building internal tooling
Start Advanced →
ProductionTopics 1–6
- ·Incident response ownership
- ·Observability from scratch
- ·Leading a project end-to-end
- ·Driving architectural migration
- ·The 6-month review
- ·Building your reputation in the codebase
Start Production →