Backend and API Development
Backend and API work for product records, rules, events, permissions and integrations inside an agreed operating boundary.
- Backend development
- API design
- Product workflows
Make product rules explicit in the system
Backend and API work carries records, rules, events, permissions and integrations that the product experience depends on. Tcules can own this scope as part of an agreed product delivery or as a bounded service within an existing architecture.
The central question is not which endpoints exist. It is whether the system preserves the product's meaning when several actors, services and failures interact. A successful response can still be wrong if the caller lacked authority, the transition lost history or an integration completed only half of the intended change.
Model records, commands and events separately
A record describes known state. A command expresses an authorised intention. An event records a completed change. Keeping those concerns explicit makes permissions, retries, audit history and integration behaviour easier to reason about.
Tcules maps these contracts to the product model and designs failure as part of the workflow. That includes idempotency where repeated requests are possible, reconciliation where systems can disagree, and observable error states the interface can explain and recover from.
- 01
Entities
Record, identity, role, rule, command, event, state, integration, failure, retry and audit history.
- 02
Relationships
Authorised commands change state; events expose completed change; integrations map external and internal identity; failures preserve enough state to retry or reconcile.
- 03
Responsive documentation
API examples wrap within labelled regions; schema tables become field blocks on mobile. Error and permission behaviour are documented beside successful responses.
Boundary and engagement scope
Depending on the engagement, Tcules can own service architecture, APIs, persistence, identity integration, business rules, background work, third-party integrations, automated tests, deployment configuration, technical documentation and operational handoff. Existing client architecture and standards govern where required.
The client remains the authority for organisation-specific policy, legal interpretation, data classification and enterprise security decisions unless a signed scope states otherwise.
Product and API acceptance meet at the failure path
The frontend should not need to infer whether an operation is pending, rejected, partially complete or safe to retry. Tcules specifies response and event semantics beside the user-facing consequence. Contract tests verify the machine boundary; scenario acceptance verifies that the resulting product behaviour remains understandable.
Bounded evidence
The ConnectX case records an AI architecture connecting specialised components and a coded demonstration that made the workflow inspectable. It supports architecture and implementation responsibility for that prototype scope. It does not establish production scale, uptime, security certification or managed operations.
AI changes implementation speed, not the authority model
AI can help generate service scaffolding, mappings, tests and documentation. It may also invent fields, mishandle a retry or obscure a security assumption. Tcules constrains generated work with schemas, examples, tests and review. Sensitive data use and client tool restrictions follow the engagement.
Start with one consequential transaction
Bring the initiating role, record, rule, integration, expected state change and known failure modes. Tcules can turn that path into an explicit service contract and reveal the wider architecture it requires.
Make one transaction explicit
Bring the product model and integration boundary so Tcules can define the service contract around it.