Software Engineering
Software that is still easy to change in year three.
We design and build web platforms, internal systems and the APIs between them. Every line is written to be read by the engineer who comes after us: typed, tested, observable and documented.
At a glance
- Custom web platforms
- API design & integration
- Enterprise systems
- Real-time and telephony
+ 4 more below
Shipped in this practice
Real work in this area, described honestly.
Where teams get stuck
The problems we are usually called in for.
Problem 01
The system everyone is afraid to touch
A decade of patches, no tests, one person who understands it. Every feature request becomes a risk assessment.
Problem 02
Integration held together with cron jobs
CSV exports, manual reconciliations and scripts nobody owns are the glue between your core systems.
Problem 03
Velocity that collapsed after launch
The MVP shipped fast. Now every sprint is spent on bugs and the roadmap has not moved in a quarter.
Problem 04
Vendor lock-in disguised as convenience
Business logic buried inside a SaaS tool's automation layer, impossible to test, migrate or reason about.
What we deliver
Capabilities, not buzzwords.
Each of these is a thing we have shipped and supported in production. Ask us for the specifics on a call.
- 01
Custom web platforms
Customer portals, marketplaces, SaaS products and internal tools built on React and Next.js front-ends with typed Node, Go or .NET back-ends.
- 02
API design & integration
REST and GraphQL APIs with contracts, versioning and documentation, plus integrations with ERPs, CRMs, payment providers and partner systems.
- 03
Enterprise systems
Workflow, inventory, fleet and asset-management systems modeled around how your operation actually runs.
- 04
Real-time and telephony
Dialers, messaging, live dashboards and event-driven systems on Twilio, WebRTC and streaming infrastructure, where latency and ordering are product features.
- 05
Legacy modernization
Strangler-pattern migrations that move critical systems onto modern stacks without a big-bang rewrite.
- 06
Data modeling & databases
PostgreSQL, time-series and event-sourced designs that stay fast as the data grows.
- 07
Quality engineering
Automated test suites, CI gates and end-to-end type safety so releases are boring.
- 08
Technical documentation
Architecture decision records, runbooks and onboarding docs delivered with the code.
Tools we reach for
- TypeScript
- React
- Next.js
- Node.js
- NestJS
- Go
- .NET
- Python
- PostgreSQL
- Redis
- GraphQL
- gRPC
- Twilio
- WebRTC
- Prisma
- Playwright
- Docker
How it runs
The same five steps, tuned for this practice.
Discovery first, architecture before code, weekly demos, staged deployment and SLA-backed operation.
01
Discover
Two weeks to understand the problem, the constraints and the people. We leave with a written brief, a risk register and a scope you can sign.
02
Architect
System design, security model, data flow and cost estimate, reviewed with your team before anyone writes production code.
03
Build
Weekly demos of working software. Typed, tested, reviewed. You see progress, not status reports.
04
Deploy
Staged rollouts with monitoring in place before launch. Runbooks written. Rollback rehearsed.
05
Operate
SLA-backed support, scheduled improvements and a named engineer who knows the system.
Engagement
Ways to engage this practice.
Fixed-scope project
Defined deliverables, milestones and price. Best for well-understood builds with a clear finish line.
Dedicated team
A cross-functional squad embedded with your product, billed monthly. Best for evolving products and long roadmaps.
Team extension
Senior engineers who join your existing team under your process. Best for capacity and specialist skills.
FAQ
Questions about software work.
What is your typical engagement size?
From a focused six-to-eight-week build of a single product surface to multi-year platform programs with a dedicated team. Most engagements start with a two-week discovery sprint.
Do you work with our in-house developers?
Often. We integrate with your team, follow your conventions where they exist and leave documentation that lets you own the system fully.
How do you estimate?
We scope in milestones with defined acceptance criteria. Fixed price for well-defined scopes, time-and-materials for evolving products, always with weekly visibility.
Which languages and frameworks do you use?
TypeScript across the stack by default, with Go, .NET or Python where the workload calls for it. We choose boring, well-supported technology on purpose.
Who owns the code?
You do. Full IP transfer, with repositories in your organization from day one.