Your agent writes code.
Your infrastructure follows.
As your coding agent builds a feature, it identifies the infrastructure the code needs. Latifold creates or updates those resources in your cloud, then returns the configuration so the agent can connect and test the feature.
Your agent connects through MCP or API. Changes run within your permissions and policies, with approval when required. AWS, Azure and Google Cloud are supported; available resources and operations vary by provider.
Your agents propose.
Your rules decide.
Humans set accounts, permissions, budgets and approval rules. Latifold is designed to evaluate changes with deterministic policies before execution. An agent can propose a correction; it cannot override a denied policy.
- Approval belongs to a plan
- Tie approval to the exact plan, configuration and policy revision. Revalidate when the plan or relevant environment changes.
- Cost estimates have limits
- An estimated cost increase can trigger approval. Actual spending limits need separate runtime enforcement; an estimate is not a hard budget guarantee.
- Record the actual outcome
- Keep agent identity, human authorisation, provider results and verification together. Surface concurrent changes, partial failures and unresolved drift.
Keep coding. Bring your cloud into the workflow.
Give your coding agent context on existing infrastructure and the ability to make changes within your permissions and policies. Changes proceed automatically unless your rules require approval.