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Dev Hub Terminal
AI-assisted developer terminal for code analysis, git commands, and GitHub integration.
Overview
Dev Hub is a multi-block terminal designed for developers who want structured, AI-enriched output alongside standard git and version control operations. Unlike a plain shell, Dev Hub renders each command result as a typed block — RunBlocks show step-by-step progress, DiffBlocks show before/after code diffs, and PipeBlocks track pipeline stage completion.
Compact mode is available to reduce the vertical footprint of each block — useful when you want to keep multiple command results visible at once. Toggle it with the compact icon in the toolbar.
return a + b;
}
a: number, b: number
) => a + b;
Git Commands
Run standard git commands directly in Dev Hub. Output is rendered as a RunBlock with progress steps.
| Command | Description |
|---|---|
| git log | Show recent commit history with hashes, authors, and messages |
| git log --oneline | Compact one-line-per-commit history view |
| git log --oneline --graph | ASCII branch graph alongside commit history |
| git status | Working tree status — staged, unstaged, and untracked files |
| git diff | Show unstaged changes as a diff |
| git blame [file] | Line-by-line author attribution for a file |
→ Fetching commit history...
eda28b7 add ChevronRight close tab to left edge of AI panels
8e771ab fix index.css selector
d0072a3 improve kanban board
GitHub / GitLab / Bitbucket Commands
Dev Hub can query your connected version control platforms. Authenticate in Settings → General by providing your access tokens. Commands fetch live data and render it in structured RunBlocks.
| Command | Description |
|---|---|
| list-repos | List all repositories for the authenticated account |
| get-issues [repo] | Fetch open issues for the specified repo |
| pr-list [repo] | List open pull requests with titles, authors, and status |
| get-commits [repo] | Recent commits for a specific repository |
Authentication Required
GitHub, GitLab, and Bitbucket commands require access tokens. Go to Settings → General to enter your tokens. Without a token, these commands return an authentication error.
AI Commands
Dev Hub integrates AI analysis directly into the terminal session. AI commands send file contents or git output to Claude and render the result as a DiffBlock (for refactoring) or a TextBlock (for analysis and explanation).
| Command | Block Type | Description |
|---|---|---|
| analyze-performance [file] | TextBlock | AI identifies performance bottlenecks, inefficient loops, and memory issues in the file |
| explain-function [file] | TextBlock | AI explains what each function does, its parameters, return values, and side effects |
| refactor-file [file] | DiffBlock | AI suggests refactored code — shown as a before/after diff with explanatory comments |
→ Reading file...
→ Analysing structure...
→ Generating refactored version...
[DiffBlock rendered with before/after code]
Pipeline Mode
Chain commands together using the pipe operator |. Each stage in the pipeline is tracked in a PipeBlock, with status indicators showing which stages have completed and which are running.
→ [Stage 1] git log --oneline ... done
→ [Stage 2] analyze-performance ... running
Pipelines short-circuit on error — if any stage fails, subsequent stages are skipped and the PipeBlock shows the failed stage in red.
Example Session
Here is a typical Dev Hub session for investigating a performance issue and drafting a fix:
- Run
git log --oneline --graphto see recent commit history and identify when the issue was introduced. - Run
git blame src/components/HeavyComponent.tsxto find which author last modified the suspect code. - Run
analyze-performance src/components/HeavyComponent.tsxto get an AI summary of performance problems. - Run
refactor-file src/components/HeavyComponent.tsxto see the AI's suggested rewrite as a DiffBlock. - Copy the refactored code from the DiffBlock into your editor to apply the changes.
AI Assistant
Open the built-in AI Assistant from the tab on the right edge of the screen for help deciding what to run. It knows the Dev Hub service catalog (Performance Analysis, AI Refactoring, Function Explainer) and your current repository/selection, so you can ask things like:
- "Which service should I run for a suspected memory leak?"
- "What exactly does AI Refactoring check for?"
- "What are best practices for refactoring legacy code safely?"
- "What should I do after running Performance Analysis?"
The assistant does not see terminal output — it only knows the service catalog and your current repo/selection, so it recommends and explains rather than interpreting results you've already run.