A good fit
When to consider this workflow
Choose this workflow when your local coding agents already work well, but their tasks, runs, and review results are hard to track together.
One place for local agent work
Coordinate local coding-agent work
Coordinate separate tasks, local coding-agent runs, and review status in one place while agents work on your machines.
Why this matters
Several coding agents are easier to coordinate when each one has a clear task and the team can see what happens next.
Before and after
See what changes in the workflow.
Before alterac.ai
- Prompts and terminal windows are the only record of which coding agent was selected for each run.
- When a process finishes, it is hard to connect the result to the right task and review.
- Starting more work at once creates confusion instead of useful progress.
With alterac.ai
- Each work stream starts as a focused task with a selected coding-agent command.
- A local listener starts one eligible run, and the task shows its current state.
- Every completed run returns a summary and hand-off to the same review process.
What alterac.ai does
Connect the steps around your coding agents.
alterac.ai connects tasks, local agent commands, individual runs, and review status. You install and configure the agents. alterac.ai does not host them, decide the best schedule, or resolve code conflicts.
- 01
Split the work
Create focused tasks that can reach review without hiding a large shared change behind one prompt.
- 02
Choose the local agent
Select an available coding-agent command for that task and check the final command before it runs.
- 03
Start one run
A listener for the project picks up eligible queued work and starts the approved command locally.
- 04
Bring the result back
Each completed run submits its own summary and hand-off for a person to review.
What stays in your control
Your team keeps the important decisions.
- You can require approval the first time a command runs, whenever it changes, or before every run.
- The command uses the local user's operating-system permissions. alterac.ai does not sandbox the agent.
- Only one listener starts a run, even when several are available. Your team still handles repository conflicts.
Not a fit
When another approach is better
- Automatically resolving code conflicts or scheduling dependencies
- Running coding agents in the cloud or controlling remote terminals
- Switching agents without approval or promising that work will run in parallel
- General project tracking or work outside software
- Choosing which coding model, IDE, or coding agent to use
- Generating code without managing repository work
- A promise that work will ship faster, code will improve, or conflicts will disappear
Product details and evidence
Learn how it works and see the evidence.
These links explain the product behavior, show the exact limits, and share first-party evidence. Use the Docs guides when you are ready for setup steps and commands.
See how local agents start
Read how the listener launches work, handles output, coordinates multiple listeners, and supports recovery.
View this sourceChoose an agent and queue a task
See how a person selects a coding agent and creates one queued run that cannot change underneath it.
View this sourceSee how alterac.ai uses this workflow
See how one builder moved from tracking AI conversations by hand to supervising separate, focused work streams.
View this source
One place for local agent work
Every work stream has a visible path from task, to local agent run, to human review.
Create an alterac.ai account.