Our Boston API development methodology is built for the regulatory, security, and reliability requirements that define the city's three dominant industries. Phase 1 — API Strategy and Design: before writing code, we define the API strategy: consumer analysis (who will use these APIs — internal teams, external partners, patients, regulators — and what are their specific requirements), data modeling (mapping the underlying data to API resources — critical in healthcare where the data model must align with FHIR resource definitions while accommodating organization-specific extensions), security architecture (authentication, authorization, encryption, and audit logging designed for the regulatory environment — OAuth 2.0/OIDC for healthcare, mutual TLS for financial services), performance requirements (throughput, latency, availability targets — a provider directory API serving an insurance exchange has different performance characteristics than a real-time trade execution API), and versioning strategy (how the API will evolve without breaking existing consumers — essential when APIs serve external partners bound by contracts and integration timelines). We design APIs using an API-first approach: the OpenAPI (Swagger) specification is written, reviewed, and approved before implementation begins. For FHIR APIs, we use FHIR Implementation Guides (IGs) and profiles to define the specific resource structures, extensions, and business rules. Phase 2 — Implementation: our technical choices for Boston API projects: language and framework — TypeScript/Node.js (Express, Fastify, or NestJS) for most APIs, with Go for performance-critical APIs (market data processing, high-throughput FHIR bulk exports) and Python (FastAPI) for AI/ML model serving APIs. API gateway — Kong or AWS API Gateway for API management (rate limiting, authentication, analytics, developer portal). FHIR server — HAPI FHIR (open source, Java) or Smile CDR (commercial HAPI distribution with enterprise features) for healthcare interoperability APIs, or custom FHIR façade APIs when the FHIR API sits in front of an existing data source (like an Epic data warehouse). Data layer — PostgreSQL for transactional data, Redis for caching, Elasticsearch for search-heavy APIs (provider directories, drug databases), and Apache Kafka for event-driven API architectures (real-time data feeds, change data capture). Phase 3 — Security Implementation: Boston's API security requirements go beyond standard OWASP guidelines: HIPAA Technical Safeguards (encryption in transit via TLS 1.3, encryption at rest, access controls, audit logging, and automatic session management for healthcare APIs), SMART on FHIR (the authorization framework for healthcare APIs — enabling fine-grained, patient-consented data access through OAuth 2.0 scopes tied to FHIR resources), SOC 2 Type II (the security certification that healthcare and financial services organizations require from API service providers), penetration testing (required before production deployment in healthcare and financial services — we engage third-party pen testing firms and remediate findings before go-live), and secret management (HashiCorp Vault or AWS Secrets Manager for API keys, certificates, and credentials — never hardcoded, never in version control). Phase 4 — Testing and Validation: for regulated-industry APIs: conformance testing (validating FHIR API compliance against the Touchstone test platform or the ONC Inferno testing tool — required for ONC certification), integration testing (validating API interactions with all consumer systems — EHRs, partner systems, client applications), performance testing (load testing to validate that APIs meet throughput and latency requirements under peak conditions — healthcare APIs must remain responsive during Monday morning scheduling surges, financial APIs during market open volatility), and security testing (automated scanning with tools like Burp Suite, OWASP ZAP, plus manual penetration testing for high-risk APIs). Phase 5 — Documentation and Developer Experience: APIs succeed when developers can easily understand and use them. We produce: interactive API documentation (Swagger UI or Redocly for exploring and testing APIs), implementation guides (step-by-step guides for common integration scenarios — connecting a patient app to the FHIR API, integrating a lab instrument with the data API), sandbox environments (test environments with realistic synthetic data for API consumers to develop and test integrations), and SDKs (client libraries in popular languages that abstract API complexity for common use cases).