Repository-aware execution
Give the Mission the correct codebase, root directory, and default branch for that project.
GRAIN FOR DEVELOPERS
Put your AI stack to work.
Connect repositories, choose the base branch, route work to supported coding engines, and review the resulting code from one governed Mission.
YOU ASKEDFix the failing workflow, add regression coverage, and prepare the patch.
1PlanGrain Models2BuildWorkhorse3ReviewHuman + AI
READY TO REVIEW1Code changes✓2Passing tests✓3Review summary✓
REPO
BRANCH
PLAN
CODE
TEST
REVIEW
YOUR WORKHORSE
Use the tools you already trust.
Grain coordinates the run while your connected machines provide the repositories, CLIs, subscriptions, keys, and compute.
Model choice per stage
Plan, implement, and review with different compatible engines when the work benefits from it.
Evidence before done
Keep tests, diffs, logs, and review notes beside the implementation instead of in a separate thread.
ONE CONTINUOUS MISSION
The work moves. The context stays.
The Workhorse brings local context and favorable model economics. The Mission harness keeps the run visible, interruptible, and reviewable.
Code changesPassing testsReview summaryCommit-ready patch
- 01
Start with the outcome
Describe what should be true when the work is done. Grain turns that outcome into a visible Mission.
- 02
Bring the right engine
Use hosted Grain Models or route execution to supported models and CLIs on your connected machines.
- 03
Inspect, edit, and ship
Review the result in Grain, ask for changes, and keep a person in control of the final action.
READY WHEN YOU ARE
Give the outcome to Grain. Keep control of the result.
Start with one Mission and bring in the models, machines, tools, and people the work needs.
Start a Mission