AI agents write code fastest when the work is sliced small and a human stays on judgment. My workflow runs a four-step loop: plan the feature into units, hand the branch stack to the agent, review each PR myself, then let the agent address my comments.
Stacked pull requests let you review a feature in logical slices rather than one enormous diff. The challenge is managing the branches, synchronizing PRs, and surviving rebases without breaking the chain. gh-stack handles the scaffolding. It tracks your branch stack in a local JSON file, generates PRs that base each one to its parent, and works on any GitHub repo regardless of whether your organization has enabled native stacked PR support.
I wanted MCP clients to create Google Tasks for me. The Google Tasks API requires a Workspace-style setup I don’t have. IFTTT already bridges webhooks to Google Tasks—but a Maker webhook URL is itself the credential. Storing that key in local MCP config is a bad idea.
Claude Code runs tools and shell commands on your behalf. Launched from a terminal, the CLI inherits your shell environment and everything just works. But under Claude Desktop, Claude Code is spawned from a GUI/desktop session that never sourced your interactive shell config—so if you rely on version managers like mise, asdf, or nix, the tools they install may not be on Claude’s PATH. The fix is a single setting: CLAUDE_ENV_FILE.
There are two apps both work for me in scoop extras bucket. scoop bucket add extras scoop install rbtray traymond They both require running their background process first. Rbtray minimizes a window into system tray by right clicking the window minimization button, while traymond us shortcuts Win + Shift + Z。