Guides

Practical knowledge for developers who work with unfamiliar code. Each guide is a step-by-step process you can follow today, written by engineers who have onboarded to hundreds of codebases.

The guides cover the full lifecycle of working with code you did not write: understanding a new repository, auditing a codebase before taking it over, doing a structured handover when you leave, and onboarding the next developer who joins.

Where a guide describes a step that CodeDashboard can automate (architecture diagrams, tech stack reports, component summaries), it says so directly. The rest is process advice you can apply with or without any tool.

CodeDashboard repo tour showing directory structure with descriptions and dependency tags

Where to start

Inheriting a codebase? Start with the code audit guide. Handing one off? Read the handover guide. If you just want to understand a specific repo right now, the understand a GitHub repo guide walks through the process step by step.

Frequently asked questions

How long should a code handover take?

With preparation, a code handover meeting takes 1-2 hours. The documentation (architecture overview, setup guide, known issues) should be written before the meeting. CodeDashboard generates the structural documentation in under two minutes, leaving you to add the context-specific details.

What is the fastest way to understand a new repo?

Start with the architecture overview to understand the system structure, then look at the repo tour for directory layout and key files. This top-down approach is faster than reading individual files because you build a mental model of the system before looking at implementation details.

Do I need to document everything?

No. Prioritize architecture decisions, setup instructions, and the 3-5 most important user flows. These cover 80% of what the next developer will ask about. Leave implementation details in the code where they belong.

Can I automate the documentation process?

CodeDashboard automates structural documentation: architecture diagrams, tech stack reports, component summaries, API endpoint lists, and data flow visualizations. You still need to write context that is not captured in code, like why certain decisions were made and what known issues exist.

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