Workbranch › Use cases

The AI workspace for developers

You ask AI about architecture, bugs, queries and refactors every day. Workbranch keeps those conversations filed by repo, turns suggestions into checklists, and lets you dig into one fix without losing the rest.

Updated October 2026

The problem with AI coding chats

A good AI answer to "why is this endpoint slow?" lists five or six possible causes. You try the first two, then ask a follow-up about the third, and the chat drifts. Two days later you can't remember which fixes you applied, which ones made a difference, or where that one useful SQL snippet was.

• Context is scattered across dozens of chats with auto-generated titles.
• Follow-ups bury the original list of suggestions.
• Nothing tracks what you actually shipped versus what you only read.

How developers use Workbranch

A project per repo, folders by kind of work

Create a project for each repo or service, then file chats into folders like Bugs, Architecture, Performance and Reviews. Finding "that Postgres indexing conversation" takes one click instead of a scroll through history.

Every suggestion becomes a checkbox

Workbranch splits an answer into points. Tick off "add a composite index" once it's merged, leave "add caching" open, and see progress at a glance: 3 of 6 done.

Threads for the one fix that needs more digging

Ask "what would the migration look like for point 4?" in a thread attached to point 4. The main answer stays readable, and the thread can be marked resolved when you're done.

Highlights for the lines you'll copy again

Highlight the exact command, config value or code snippet that worked, and find it later with search.

Due dates tied to your release

Flag a chat for the day before a release or a sprint review. It shows up on your calendar, with a reminder, so the "we should really fix that" items don't slip.

Example: debugging a slow query

1. Ask: "This orders query takes 8 seconds. Why?" in your API project, folder Performance.
2. Work the list: the answer suggests an index, selecting fewer columns, and adding a LIMIT. Tick each one off as you merge it.
3. Branch a thread on the index suggestion to ask about write performance. Resolve it once you're satisfied.
4. Highlight the final CREATE INDEX statement for next time.
5. Mark the chat complete when the query is fast. It moves out of your way but stays searchable.

A folder setup that works

Frequently asked questions