AI Developer
AI-assisted development that works inside your engineering flow.
A practical development system that researches your codebase, writes a spec, builds the change, and keeps your team in control before anything ships.
Research
Review
What it does
More than code generation.
AI Developer is a delivery workflow for software teams. It is built around research, planning, review, implementation, and verification.
Codebase research
The system reads the existing structure, patterns, constraints, and surrounding files before proposing a change.
Spec-first delivery
Each change starts with a practical plan: what will be built, what files are touched, and how it will be verified.
Test channel before production
Work can be reviewed and tested before anything lands in the production path.
Human approval
You stay in control of scope, review, feedback, and release decisions.
Workflow
From request to reviewed change.
01
Describe the work
Send a feature, bug, cleanup, or improvement request in plain language.
02
Review the spec
The system researches the codebase and proposes the implementation path before coding.
03
Test safely
Changes are built and verified in a test path so your team can inspect the result.
04
Ship when ready
Approved changes move forward with a clear record of what changed and why.
Useful for
Engineering work that needs context.
The system is best for scoped software changes where the codebase, product rules, and review process matter.
Backlog features and product improvements
Bug fixes and regression investigation
Internal tool updates and admin workflows
API, integration, and automation work
Refactors, cleanup, and test coverage
Prototype-to-production implementation
Add AI-assisted development to your team.
Use AI Developer for scoped engineering work, internal tools, automations, integrations, and product improvements.
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