wade
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Every Wade does the dirty work so the heroes don't have to. Branches, worktrees, context, PRs — handled.
WADE — Workflow for AI-Driven Engineering
AI tools write the code. WADE handles everything else.
Every Wade does the dirty work so the heroes don't have to.
Branches, worktrees, context loading, model selection, PR creation — all the workflow friction that surrounds AI coding sessions. WADE eliminates it. Works with Claude Code, Copilot, Gemini, Codex, and more. Run wade init once per project, then just point it at a GitHub (more to come!) issue number.
See It in Action
Starting work on Issue #42:
Without WADE:
git fetch origin && git checkout main && git pull
git checkout -b feat/issue-42-user-auth
# paste issue title + description into AI chat
# explain your branching rules, test locations, linters to run...
With WADE:
wade 42
WADE fetches the issue, detects whether it's been planned, and starts the right session automatically — planning if no plan exists yet, implementation if it does. Creates an isolated git worktree, launches your AI tool with the full issue loaded — title, description, labels, and all your project conventions — and Skills guide the AI from first commit to open PR without you touching git again.
Finishing work and opening the PR:
Without WADE:
git checkout main && git pull
git checkout feat/issue-42-user-auth
git merge main # resolve conflicts yourself, if any
git push
gh pr create --title "User Auth (#42)" --body "..." # write description manually
# don't forget to link the issue, clean up the branch...
With WADE (the AI handles all of this):
wade implementation-session done
The AI merges the latest main into the branch, resolves any conflicts, writes the PR description from what it built, and marks it ready for review — you get a clean, already-integrated diff with no noise for your reviewer.
Working on multiple issues at once:
wade implement-batch 42 43 44 # three worktrees, three AI sessions, zero stashing
Why WADE
| Without WADE | With WADE |
|---|---|
git fetch && checkout && pull && checkout -b ... before every task |
wade 42 — one command, done |
| Copy-paste issue title + description into AI chat every time | Full issue context + project conventions loaded automatically |
| One task at a time, or stash-juggle between branches | Parallel issues in isolated worktrees, zero conflicts |
| Re-explain your branching rules, test commands, linters every session | Skills teach the AI your conventions once |
| PRs opened on stale branches — reviewer sees conflict noise, asks for a rebase, CI fails | AI merges the latest main and resolves conflicts before the PR — reviewer sees only your changes |
| Write the PR description, link the issue, clean up the branch — manually | The AI ships the PR. You just review |
| Manually pick the right model for each task | Automatic model routing based on issue complexity |
| Which terminal tab has which issue? No idea | Terminal title shows wade implement #42 — Feature Name |
| Which AI session worked on this issue? Which tool? Which model? | Every PR and issue logs the tool, model, and session resume command — for both Plan and Implement phases |
Installation
One-line install script (installs uv automatically if missing):
curl -LsSf https://raw.githubusercontent.com/ivanviragine/wade/main/install.sh | sh
Or, if you already have uv or pipx:
uv tool install wade-cli # recommended
pipx install wade-cli
Requires gh CLI (authenticated) and at least one supported AI coding tool.
gh auth login # if not already authenticated
Quick Start
Initialize WADE in your project (once):
wade init
Then start working:
# Plan a feature — AI creates GitHub issues and draft PRs
wade plan
# Start working — WADE detects plan state and picks the right session automatically
wade 42
Commands
| Command | Description |
|---|---|
wade <N> |
Smart shorthand — routes to implement or review pr-comments automatically |
wade plan |
AI planning session — creates issues + draft PRs |
wade implement <N> |
Create worktree and start AI session for an issue |
wade implement-batch <N> <M> ... |
Start parallel sessions for multiple issues (beta) |
wade review pr-comments <N> |
Address PR review comments |
wade review plan <file> |
AI-powered plan review |
wade review implementation |
AI-powered code review |
wade review batch <N> |
Coherence review across parallel implementation branches |
wade cd <N> |
Navigate to a worktree (requires shell integration) |
wade task create |
Create a GitHub issue interactively |
wade task list |
List open issues |
wade task read <N> |
Show issue details |
wade task deps <N> <M> ... |
Analyze dependencies between issues |
wade worktree list |
List active worktrees |
wade worktree remove <N> |
Remove a worktree |
wade init |
Initialize WADE in the current project |
wade update |
Upgrade WADE and refresh project files |
wade deinit |
Remove WADE from the current project |
wade check-config |
Validate .wade.yml configuration |
wade knowledge add |
Append a project learning from stdin |
wade knowledge get |
Print the current project knowledge file |
wade knowledge rate |
Record a thumbs-up or thumbs-down for a knowledge entry |
wade knowledge enable [--path PATH] |
Enable knowledge capture and optionally set custom file path |
wade knowledge disable |
Disable knowledge capture (keeps existing knowledge file) |
Short aliases: wade p (plan), wade i <N> (implement), wade r <N> (review pr-comments).
Most workflow commands accept --ai <tool>, --model <model>, --effort <level>, and --yolo to override configured defaults. implement also supports --detach (new terminal tab) and --cd (print worktree path only).
Supported AI Tools
Adapters, model/effort resolution, and per-tool config (allowlists, hooks) are powered by crossby, WADE's AI-tool-integration dependency.
| Tool | Binary |
|---|---|
| Claude Code | claude |
| Cursor | cursor |
| GitHub Copilot | copilot |
| Google Gemini | gemini |
| OpenAI Codex | codex |
| OpenCode | opencode |
| VS Code | code |
| Antigravity | antigravity |
Task Providers
WADE can pull tasks from three backends — pick one when you run wade init:
| Provider | Where issues live | Auth |
|---|---|---|
github (default) |
GitHub Issues | gh CLI |
clickup |
ClickUp list | API token in env var |
markdown |
A single committed ISSUES.md |
None |
PRs always flow through GitHub regardless of choice — wade fetch-reviews,
the auto-poll loop, and review-thread resolution work identically across
providers.
Markdown provider
Useful when you want issues versioned alongside the code, with no external
service. Each issue is one ## heading in the file:
# Wade Issues
## #47239185 Add login feature
<!-- wade
state: open
labels: feature, complexity:medium
-->
Description body here. Sub-headings, code blocks, anything markdown.
The file is resolved against the main worktree, so every linked
worktree reads/writes the same physical file. No textual merge conflicts
onISSUES.md.IDs are random 8-digit decimal so two parallel
wade implementsessions
in different worktrees can't collide. They stay numeric so existing#NNchecklist refs in tracking-issue bodies still work.Configure via
.wade.yml:provider: name: markdown settings: path: ISSUES.md # relative to repo root, or absolute auto_commit: false # if true, close_task auto-commits the changeAfter a PR merges,
provider.close_taskflips the section'sstatetoclosedinISSUES.md. By default the file is left modified in your
working tree — commit it yourself. Setauto_commit: trueto have
wade commit the change with achore: close #Nmessage; failures
(not a git repo, hook rejection, signing required) are logged and
swallowed so the close itself never blocks.Tracking issues with
- [ ] #Nchecklist bodies work the same as with
GitHub Issues — markdown'sfind_parent_issuescans every section's
body for child refs.
Agent Skills
wade init installs Skills that teach your AI agent the workflow — issue format, planning rules, implementation session rules, and dependency analysis. Skills, the AGENTS.md workflow pointer, and any tool-specific configuration are set up automatically for every supported tool. Nothing to configure manually.
| Skill | Purpose |
|---|---|
task |
GitHub issue creation and plan format |
plan-session |
Planning session rules and workflow |
implementation-session |
Implementation session rules and workflow |
review-pr-comments-session |
Review session rules and workflow |
deps |
Dependency analysis between issues |
Worktree Hooks
Configure automated setup when worktrees are created via wade implement or wade implement-batch. Add a hooks section to .wade.yml:
hooks:
post_worktree_create: scripts/setup-worktree.sh
copy_to_worktree:
- .env
- .env.example
post_worktree_create — A setup script to run after each worktree is created. Use it to install dependencies, run builds, or prepare the environment so worktrees are ready to use immediately.
copy_to_worktree — Files to copy from the project root into the worktree before running the hook. Useful for secrets and config files (e.g., .env) that are gitignored and wouldn't otherwise be present in a new worktree.
See templates/setup-worktree.sh.example for a starter script.
Shell Integration
To make wade cd <N> actually change your directory (instead of just printing the path), add this to your shell profile:
eval "$(wade shell-init)"
Tab completion:
wade --install-completion bash # or zsh / fish
Upgrading
wade update
Detects your install method (uv tool, pipx, Homebrew) and upgrades automatically, then refreshes all managed project files.
Contributing
See CONTRIBUTING.md.
License
MIT
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