Understand the territory.
Read the codebase, identify existing patterns, and turn an open question into useful context before implementation begins.
DevPilot connects AI-assisted engineering into a project workflow: clear responsibilities, durable decisions, and evidence you can return to.
DIRECTION IN. REVIEWABLE WORK OUT.
A useful team needs more than parallel prompts. Scope, dependencies, and a shared definition of done give each contribution a place.
Read the codebase, identify existing patterns, and turn an open question into useful context before implementation begins.
Break the objective into bounded tasks. Name the dependencies, assign responsibilities, and define what evidence will close each task.
Implementation work focuses on a clear slice of the project. Decisions and changes stay connected to the task that produced them.
Verification examines the resulting behavior. Keep checks, failures, fixes, and remaining questions visible for the next reviewer.
Engineering knowledge is scattered easily: why an API stayed unchanged, which migration was deferred, or what a previous test actually proved. DevPilot’s project records give that knowledge a durable home.
Decisions, documentation, and checkpoints can be read through the gateway. A new session can start from recorded work instead of a retold story.
What changed, where it changed, and the intended behavior.
The checks that ran, their results, and what they do not cover.
The tradeoffs, open questions, and decisions needed from you.
A separate step with an explicit target and authorization.
A code change is evidence of implementation. A passing check is evidence about that check. Neither substitutes for a release decision.
The CLI, gateway, MCP interface, and native companion provide different ways into the engineering workflow.
Inspect projects, work with sprints, and run the commands that connect your local development workflow.
Expose project operations and records through structured interfaces for tools and agent clients.
Explore the macOS companion and its visual approach to project health, work, and engineering context.
Start with the problem. We’ll explore the right path together.