Each role knows
its part.
Give your agents their own workspaces, tasks, tools and project knowledge. Shared coordination makes handoffs and decisions visible across the team.
distilligentLet’s talk YOUR AI ENGINEERING PLATFORM
Build, test and maintain your software with a coordinated AI team. Your codebase understood. Your standards carried into the work. Your people in control.
FROM A REQUEST TO A REVIEWABLE RESULT
A feature to build. A release to prepare. A difficult change to untangle. Give the team a shared goal and a clear way to get there.
Your team defines the work, the boundaries and what a good result looks like.
Agents work with assigned responsibilities, shared decisions and the context of your project.
A separate review measures the proposal against the requirements. Findings go back for correction.
Review the work, approve the change and carry the reasoning into the next session.
Workflow illustration · Build and review are separate responsibilities.
THE CONTEXT BEHIND THE CODE
Your codebase has a history. Dependencies, decisions, fragile corners and lessons your team earned the hard way. Code Engine brings that understanding into the work.
Trace the connections beyond one file.
Surface warnings before making changes.
Recover why a decision was made.
AMBITION, WITH BOUNDARIES
Define responsibilities, give each role the context it needs, and keep the result open to scrutiny.
Give your agents their own workspaces, tasks, tools and project knowledge. Shared coordination makes handoffs and decisions visible across the team.
Set acceptance criteria before the work begins. A separate reviewer checks the proposed change and sends findings back for correction.
Follow assignments, changes and review decisions. Keep a record your people can inspect as the work moves toward approval.
Findings return to the builder.
PROJECT KNOWLEDGE THAT CARRIES FORWARD
The architecture decision. The failed attempt. The reason nobody touches that particular file without a review. Keep them available when a new person, agent or model picks up the work.
Record context and warnings where the team can find them again.
Carry completed work, findings and the next step into the next session.
Keep the accumulated understanding alongside your repository.
WHEN YOU WANT THE DETAIL
Explore the capabilities behind the team.
Explore symbols, calls and dependencies; trace what a proposed change reaches before you edit. Look at a file in the context of the system around it.
Read the story behind a file, surface risk and keep warnings searchable. Carry the lessons from earlier work into new decisions.
Inspect recent changes, build results and deployment context. Compare the current work with an earlier revision to understand what changed.
Use shared tasks, file claims, team conversation and a decision record to coordinate work. Role workspaces keep the relevant tools, tasks and knowledge together.
Use Code Engine from compatible MCP clients through your repository connection. Start the evaluation with your chosen client, repository and access requirements.
BUILT AROUND YOUR ORGANIZATION
Code Engine works with your repository through your own connection. Your project knowledge and ways of working provide continuity as your team evolves.
For organizational knowledge beyond the codebase, explore Hearth as its own part of the Distilligent portfolio.
Explore HearthSTART WITH A REAL PIECE OF WORK
Your repository. Your standards. The engineering work that matters to your team. Let’s explore it together.
Opens an email to our team, with the questions ready.