AutoDrive - Your AI Pair-Engineer That Actually Ships Code

Software teams have had AI coding tools for a while now. They can autocomplete snippets, explain errors, or even refactor code.

But here’s the catch - snippets don’t ship. They rarely get from “suggestion” to a working commit.

That’s why we built AutoDrive - an AI pair-engineer that turns plain backlog tasks into actual code changes. It plans, edits, runs, and reports - all from a clean web interface.

Think of it as the “Auto” button your dev workflow has been missing.

The Problem: AI that talks, not builds

Most AI assistants stop at generating text.

They might help write code, but they don’t understand your repo, your processes, or what “done” means.

For developers and teams, this means:

Tasks stay half-finished in Jira or Notion.
You still have to wire AI output into real commits and test results.
Every “simple” change requires manual babysitting.

The gap between suggestion and execution remains wide.

The Solution: AutoDrive

AutoDrive bridges that gap.

You describe what you want - “Add search to the user table” or “Refactor the PDF generator into a separate module” - and AutoDrive does the rest.

It:

Parses the request into a structured JSON plan.
Executes that plan transparently (edits, tests, commits).
Streams logs and results in real time.
Keeps everything observable, reversible, and under your control.

No black boxes. No magic. Just reproducible, visible automation.

Why It Works

AutoDrive isn’t about replacing engineers - it’s about removing the friction between idea and implementation.

✅ Structured planning

Every task is broken down into an explicit plan - a sequence of actions like edit_file, run_tests, commit_changes.

You always know what will happen before it runs.

✅ Observability

You can watch tasks execute in real time - with logs, diffs, and test output streamed as they happen.

✅ Safe automation

AutoDrive commits incrementally, supports preview-only mode, and gives you full rollback metadata.

You stay in control while the AI handles the busywork.

✅ Multi-repo capability

Run tasks across multiple projects or microservices with consistent workflows and visibility.

Who It’s For

🧑‍💻 Solo builders - who want AI to handle repetitive dev chores.
🧠 Small teams - that need reliable, auditable automation without losing control.
🏢 Agencies - shipping updates across multiple client projects.
⚙️ Enterprises - that need repeatable, observable pipelines for internal tooling.