The code evolves.
The context stays.
Bring architecture decisions, bug findings and review criteria into the AI used by whoever continues development.
Architecture decisions
Preserve what was chosen, why it was chosen and the constraints the next implementation needs to respect.
Bugs & investigation
Share symptoms, tested hypotheses and findings so someone else can continue without repeating the investigation.
Implementation & review
Consult requirements, dependencies and acceptance criteria before developing, testing or reviewing.
One decision. Different people.
The context follows every step.
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Illustrative example · Fictional people and records. Each participant uses an authorized connection.
Start for freeYour team already has the context.
Keep every delivery moving.
In this example, architecture, implementation, testing and review share what they learn. A foundation for less rework and a clearer place to pick things up.
People, one continuous workflow
The decision stays with those who implement, test and review.
Different AIs
Each person uses their own AI and accesses authorized context.
Records to consult
Decisions, findings and acceptance criteria remain accessible.
Shared collection
A common starting point to investigate and keep work moving.
Less time in meetings.
More time making progress.
Look it up before calling
Retrieve decisions, reasoning and constraints in your AI without waiting for the next sync.
Hand the work forward
Share tested hypotheses and findings so the next person can continue the investigation.
Meet to decide
With context available beforehand, the conversation can focus on what still needs a decision.