Use cases
Choose the situation that sounds like yours. Each page explains what alterac.ai changes, what you need first, and when another tool may be a better fit.
Before you choose a use case
These use cases are for repository-based software work. alterac.ai coordinates the work around your agents, while your team keeps the final say.
Choose your use case
Start with coordinating several coding agents through separate tasks, or choose another problem below. Each page covers the part alterac.ai plays and the result you can expect. For setup steps and commands, it links to the relevant Docs guide.
Give each coding agent a clear task, then see active work and the next review decision across the team.
Does this sound familiar?
“How do I coordinate several coding agents as they work through separate tasks?”
Every work stream has a visible path from task, to local agent run, to human review.
Explore this use caseUse AI to shape related task drafts, review the full set, then publish it when it is ready for agents.
Does this sound familiar?
“How do I plan a related set of tasks with AI before agents begin?”
Your team gets a complete, reviewed Plan and task set only after a person selects Publish.
Explore this use caseKeep the important task and review history with the work instead of leaving it in a chat or terminal window.
Does this sound familiar?
“How do I stop losing task and review context between coding-agent runs?”
Reviewers and later agents can see which run did the work, what it reported, what people decided, and which context carried forward.
Explore this use caseChoose exactly how the next run should begin after an agent stops or never submits its result.
Does this sound familiar?
“What do I do when an agent stops halfway through?”
One replacement is queued with the context you chose, and the incomplete run cannot take over the task later.
Explore this use caseGive every submitted agent run a clear human decision and a recorded next step.
Does this sound familiar?
“How do we make every coding-agent review end with a clear decision?”
Every submitted run ends with a recorded human decision and enough context to explain what happens next.
Explore this use caseUnderstand project delivery patterns with completed work, AI work time, review time, ranges, and sample sizes.
Does this sound familiar?
“What can we learn from completed work, AI work time, and review time?”
The team can discuss completed work, recorded AI work time, and working-hours review time using shared definitions and visible sample sizes.
Explore this use caseKnow when to choose something else
alterac.ai does not write code, run agents in the cloud, choose an AI provider, replace a general project-management suite, or remove human review. It coordinates repository work around coding agents that you install and configure locally.
Review the coordination modelKeep people in control
Create a project, connect a compatible local coding-agent command, and let the people responsible for the work decide what gets published and accepted.
