We Build in TypeScript.
We Scale on AWS.
We Run Revenue on HubSpot.

Every engagement begins with a structured technical discovery. For TypeScript projects, we review existing codebases or define a clean architecture from scratch — assessing type coverage, test strategy, and module boundaries. For AWS work, we map the event-driven requirements against Lambda, SQS, SNS, and EventBridge to design the infrastructure topology before a line of CDK is written. For HubSpot implementations, we audit the existing CRM data model — object hierarchies, lifecycle stages, pipeline stages — and document what needs to be redesigned before any workflow automation is built. Discovery ends with a written architecture brief that both teams have verified.

Planning translates the architecture brief into a sprint-level roadmap. TypeScript API contracts and interface definitions are written before any implementation begins — so both the frontend and backend teams have an agreed-upon shape for the data. AWS infrastructure stacks are scoped as CDK constructs, versioned from day one, and reviewed before provisioning. HubSpot custom object schemas, property groups, and pipeline configurations are designed in full before any portal changes are made. Milestones are set around deployable increments — every sprint ships something observable.

Build is where the architecture becomes code. We develop in TypeScript strict mode throughout — no implicit any, no escape hatches. Tests are written before implementation (Test-Driven Development): a failing test defines the contract, passing the test is the definition of done. Claude Code is an active pair partner in this phase — not autocomplete. AI assists with architecture review, implementation generation, and code quality feedback in real time, accelerating delivery without compromising coverage. Lambda handlers are built as stateless, event-driven units. HubSpot private apps and API integrations are coded and version-controlled — not configured in the portal UI.

After each sprint increment, we validate the build against both automated and real-world conditions. Integration tests run against AWS services in a staging environment — not mocks. CloudWatch structured logging and X-Ray tracing are configured as part of deployment, not added as an afterthought. HubSpot changes are validated in a sandbox portal before touching production. TypeScript strict compilation and automated test coverage gates run in CI on every push. Stakeholder demos close each sprint cycle — feedback is incorporated in the following planning phase, not deferred to a release.

Post-deployment, we stay in the loop. AWS CloudWatch dashboards and X-Ray service maps give us live observability into Lambda invocation patterns, error rates, and SQS queue depths — so we catch performance gaps before they become incidents. HubSpot reporting surfaces CRM data quality, workflow enrollment rates, and lifecycle stage velocity. We run a TypeScript version upgrade cadence as the ecosystem evolves. For clients on a retainer, SiteIT engineers remain available for new feature development, infrastructure scaling decisions, and HubSpot process improvements. The relationship doesn't end at handoff.