Technologies and practices we use: React, Next.js, Node.js, Spring Boot, Python, TypeScript, PostgreSQL, AWS, Docker, Kubernetes, Terraform, GraphQL, Redis, REST APIs, CI/CD, Microservices, AI / ML integration, LLM-powered features
ReactNext.jsNode.jsSpring BootPythonTypeScriptPostgreSQLAWSDockerKubernetesTerraformGraphQLRedisREST APIsCI/CDMicroservicesAI / ML integrationLLM-powered featuresReactNext.jsNode.jsSpring BootPythonTypeScriptPostgreSQLAWSDockerKubernetesTerraformGraphQLRedisREST APIsCI/CDMicroservicesAI / ML integrationLLM-powered features
Every project includes
- Structured discovery & written scope
- Private staging environment
- Weekly status updates during active build
- Test-first discipline on core logic
- Quality checks before each release
- Handoff package: code, docs, tests
Stacks & practices we use
Familiar, boring-in-a-good-way technology choices — optimized for reliability, hiring, and long maintenance.
Frontend
- • React
- • Next.js
- • TypeScript
- • Responsive & accessible UI
Backend & APIs
- • Node.js
- • Python
- • Java / Spring Boot
- • REST
- • GraphQL
- • Microservices
Data
- • PostgreSQL
- • Redis
- • Migrations
- • Performance basics
Infrastructure
- • AWS
- • Docker
- • Kubernetes
- • Terraform
- • CI/CD
AI / ML
- • LLM-powered features
- • Guardrails & evaluation mindset
- • Integration with your product workflows
Web applications
Who it’s for
Teams replacing spreadsheets, email chains, or brittle internal tools.
Typical timeline
Typical engagement: a few weeks to a couple of months — depends on workflows and integrations.
- Role-based access and audit-friendly patterns
- Integrations with email, payments, CRMs, or internal APIs
- Staging previews for real feedback — not screenshots
Mobile apps
Who it’s for
Founders who need iOS/Android alongside a dependable API.
Typical timeline
Often parallelized with backend work; timeline driven by store requirements and scope.
- Cross-platform or native-aligned architecture — chosen for your constraints
- Push, auth, and offline-aware flows where needed
- Test plans for device matrix and release hygiene
AI-powered products
Who it’s for
Teams adding LLM features without gambling on prompt-only prototypes.
Typical timeline
Depends on risk: retrieval, eval hooks, and data handling add real engineering time (on purpose).
- Production-minded prompting, tooling, and monitoring hooks
- Safety, PII, and retention considered up front — not after launch
- Human-in-the-loop workflows when stakes are high
APIs & backend systems
Who it’s for
Products that need clean contracts between services, partners, or legacy systems.
Typical timeline
Scoped by number of integrations, data migrations, and operational requirements.
- Versioned APIs, idempotency, and error models that clients can rely on
- Observability and deployment practices suitable for small teams
- Documentation your future engineers will thank you for
SaaS platforms
Who it’s for
Founders launching multi-tenant software with real billing and permissions.
Typical timeline
Usually multi-phase; we’ll propose a sensible MVP slice first.
- Tenancy, roles, and admin workflows
- Billing integration patterns (per your provider choices)
- Upgrade paths that don’t require a rewrite in 90 days
MVP → production
Who it’s for
You have traction signals and need something maintainable — not a disposable demo.
Typical timeline
We’ll align on the smallest production-worthy slice, then iterate with change control.
- Strip scope to what validates the business — without painting yourself into a corner
- Tests on the critical paths that must not break
- Handoff that a future hire or agency can pick up
Not sure which bucket you’re in?
That’s what the consultation is for — we’ll help you triage and propose a sane first milestone.
Book a consultation