Business software built for your specific workflows rather than adapted from a generic template. Multi-tenant SaaS platforms with PostgreSQL row-level security for data isolation, custom CRM systems with your pipeline logic and automation rules baked in, ERP replacements for businesses that have outgrown spreadsheets and off-the-shelf tools, and internal operational software that handles the workflows specific to your industry. We start from business requirements and a defined data model -- not a feature list -- because the shape of the data architecture determines whether the software can actually be maintained and extended after delivery. Authentication via NextAuth.js or Clerk, Stripe Billing for subscription management with webhook handling across the full subscription lifecycle, role-based access control scoped to your organisational structure, and admin tooling your team can use without a developer. All code delivered with full IP ownership. See Custom Software Development and SaaS Development.

Fast, focused first versions that test your core business hypothesis at production quality -- not prototypes that need a full rebuild when users show up. The MVP scope conversation defines what the minimum version must do for a real user to get real value from it, and explicitly excludes everything else. Scope definition is what makes fixed-cost delivery possible; adding features mid-sprint is how MVPs become 6-month projects. Tech stack optimised for iteration speed: Next.js with Supabase or Railway, Expo for React Native mobile, Stripe Billing integrated from day one rather than bolted on later, and a staging environment that mirrors production. Working software delivered to staging every two weeks throughout the build -- not a reveal at week 12. Post-launch: real user data replaces assumptions, and the next phase is scoped from that data rather than from what was anticipated at the start.

CI/CD via GitHub Actions runs lint, typecheck, and test on every pull request before merge -- catching regressions early in a codebase that's being built quickly. PostgreSQL as the primary data store with Flyway or Drizzle handling schema migrations so the database schema is version-controlled alongside the application code from the first sprint. Redis for caching and session management where latency matters. Rate limiting implemented with the token bucket algorithm at the API layer protects early-stage MVPs from abuse before traffic patterns are fully understood. OWASP Top 10 addressed during development: parameterised queries prevent SQL injection, CSP headers prevent XSS, and secrets managed through environment variables rather than committed to source. Observability via OpenTelemetry with traces exported to Datadog or a self-hosted Grafana/Prometheus stack gives you latency and error visibility from the first deploy rather than discovering production issues through user reports. Container deployment to Railway, Render, or Docker on a managed cloud provider keeps infrastructure simple at MVP stage while remaining portable to Kubernetes on EKS or GKE when scale requires it. See MVP Development and Startup Software Development.

Large-scale software for established organisations where the complexity is in the requirements, integrations, and organisational dynamics as much as the code. Enterprise resource planning built around your operational workflow rather than configured from a vendor's generic module set. Multi-level approval workflows with value-threshold routing, role-based access control with attribute-based policies for complex permission structures, SAML 2.0 SSO integration with Okta/Azure AD/LDAP for enterprise identity, and append-only audit logs for compliance and regulatory requirements. Integration architecture for the systems already running your business: SAP, Oracle, Salesforce, Workday, Dynamics 365. We work within enterprise procurement processes, produce the architecture and security documentation your IT team requires, and build against your compliance requirements from the start rather than retrofitting after delivery. See Enterprise Software Development.

Full-stack web applications built on Next.js (App Router, React Server Components) with TypeScript throughout. Customer-facing SaaS products, self-service portals, internal operational tools, and data dashboards built on Recharts or Apache ECharts with server-side data aggregation. REST API development with OpenAPI 3.0 specification generated from the code rather than maintained separately -- keeping documentation accurate as the API evolves. Authentication via OAuth 2.0 PKCE for public clients, JWT RS256 for machine-to-machine integration, API key authentication for simplicity where appropriate. Cursor-based pagination for large datasets, HMAC webhook verification for inbound webhooks from payment processors and third-party platforms, and rate limiting with standard RateLimit-* response headers from day one. GraphQL for products where clients need flexible querying against a complex data graph. API-first architecture designed around multiple consumers -- web, mobile, and third-party integrations can all share the same API layer without divergence. See Web Application Development and API Development.

Two-sided and multi-sided marketplace platforms where the technical challenge is not the UI but the operational complexity behind it. Buyer-seller matching, listing management with category-specific attribute schemas, search and discovery with Elasticsearch or Algolia for faceted filtering, and review systems with verified-purchase gates. Payment processing via Stripe Connect: Express accounts for provider onboarding, platform fee capture on each transaction, payout schedules, and dispute handling. On-demand platforms where the supply-demand coordination happens in real time: order routing to available providers based on location and capacity, live GPS tracking via WebSocket for customers and dispatchers, and push notifications across the state transition chain. The provider/driver app, customer app, and admin dispatch panel built as one integrated system -- not three separate projects handed off to different teams that end up with inconsistent data models. See Marketplace Development and On-Demand App Development.

Migrating legacy systems to modern architecture without stopping the business -- starting from an assessment of what the existing system actually does before proposing how to replace it. SonarQube audit to identify code quality hot spots and dependency tangling. Strangler fig pattern for incremental migration: new functionality built on the modern stack while the legacy system handles existing workflows, with the surface area of the legacy system shrinking systematically over time rather than a big-bang cutover. API layer over existing databases where the data structure can't be changed immediately -- decoupling the presentation layer from the legacy schema while the underlying migration proceeds. Database modernisation: schema normalisation, stored procedure extraction into application-layer business logic, and migration to managed cloud database services. Full rewrites where incremental migration is blocked by the legacy architecture -- preceded by at least three dress rehearsal data migrations and a parallel running period with reconciliation checks. All modernisation approaches agreed with your team before development starts. See Legacy Modernisation and Software Modernisation.