Software,
built like
it has to last.

What we build

The work we like is the work that has to keep working. New products that need to ship and then survive their second year. Internal tools that replace a brittle spreadsheet a department has quietly built its month-end process around. Backends that need to handle the load of a feature your competitors are about to launch.

We’re the team you bring in when the answer to “should we build this ourselves?” is “yes, and we want it built properly.”

How we typically engage

• 0→1 builds. Greenfield products where we own design, architecture, and shipping. You bring the business problem; we bring the engineering.
• Rescue projects. A codebase from a previous team or agency that needs to be stabilized, documented, and made shippable again. We start with a short audit, propose a remediation plan, then execute.
• Long-tail platforms. Software that quietly runs a business — order processing, claims pipelines, internal admin. Not glamorous, but a problem if it goes down at 3am.

Tech we reach for

We use boring, well-understood technology. The frameworks are picked for fit, not because they trended on Hacker News last quarter.

• Frontend. React, Vue, Angular. TypeScript everywhere.
• Backend. Java with Spring Boot, Node, occasionally Python.
• Mobile. React Native or native when the use case demands it.
• Database. Postgres for ~everything, with the occasional Redis or message queue when load justifies them.

What we don’t do

We don’t take on work that requires us to pretend to be experts at things we’re not. If you need a marketing site, an ad campaign, or a brand identity, we’ll happily refer you to someone better.

What we do

Cloud infrastructure that pays for itself in nights of uninterrupted sleep. We design, build, and operate systems on AWS, GCP, and (where it makes sense) on-prem or hybrid. We pick the architecture that fits the workload — not the one that maximizes cloud spend.

How we typically engage

• Greenfield platforms. New infrastructure designed from scratch, with the trade-offs documented so the next engineer can read them.
• Migrations. Lift-and-shift, replatforming, or full re-architecture. We’ve moved enough monoliths to know which paths are worth taking and which to avoid.
• Stabilization. A system that mostly works but pages someone too often. We diagnose, instrument, and fix the actual root causes — not just the symptoms.
• Ongoing operations. Long-term partnership where we keep the lights on, manage incidents, and handle the unglamorous patching that nobody else wants to own.

What we run on

• AWS — most of our work. EKS, ECS, RDS, Lambda, the usual suspects.
• GCP — when there’s a reason (BigQuery, Vertex, regulatory).
• Kubernetes — when the operational overhead is justified. Not by default.
• Terraform — infrastructure as code, version-controlled, peer-reviewed.
• Docker — everywhere.
• Observability — Prometheus, Grafana, OpenTelemetry, occasionally Datadog.

What we don’t do

We don’t sell you on architecture that’s more complex than your problem requires. If a single EC2 instance and a managed Postgres are the right answer, that’s what we’ll propose. The job is to solve your problem, not to maximize our retainer.

When this is useful

Some technical decisions are easy to change later. Others quietly lock you in for years. We’re the team you bring in when you need an honest second opinion on the second kind — and you’d rather pay for it now than discover the cost in eighteen months.

How we typically engage

• Architecture reviews. We read your design docs, talk to your engineers, and produce a written assessment with prioritized recommendations. Usually 2–4 weeks.
• Technical due diligence. Acquisitions, partnerships, large vendor commitments. We assess the engineering, not just the codebase — team, process, debt, key-person risk.
• Second opinions. A specific decision (build vs buy, framework choice, migration approach) where you want an outside perspective from people who don’t have an axe to grind.
• Fractional CTO. For founders who need senior engineering judgment but don’t yet need a full-time hire.

What we won’t do

• We won’t tell you what you want to hear. If your architecture is fine, we’ll say so and refund the difference. If it isn’t, we’ll explain why in language your CFO can read.
• We won’t recommend ourselves for the implementation work that follows from the review unless you explicitly ask. The advice and the build are separate engagements for a reason.

Output

Every engagement ends with a written deliverable — usually 10–30 pages — that your team can act on after we’ve left. Slide decks on request, but we’d rather you have the document.

What we do

Testing infrastructure that catches regressions before they reach production. Release pipelines that turn deployments into a non-event. Monitoring that pages someone before your users notice.

Most teams underinvest in this work because it never feels like the most urgent thing — until something breaks at the worst possible moment. We help you do the boring work that prevents the exciting incidents.

How we typically engage

• Test automation buildouts. A real test suite — unit, integration, end-to-end — wired into CI and trusted by your team. Not a thousand flaky tests that everyone learns to ignore.
• CI/CD pipelines. Deployments that are fast, reproducible, and rollback-safe. We’ve seen enough of the alternative.
• Load and performance testing. Realistic load profiles, identified bottlenecks, documented headroom. Especially valuable before launches or seasonal peaks.
• Quality engineering as a practice. Embedded with your team for a quarter or two, leaving behind both the infrastructure and the habits.

Tools we use

• Test runners. Jest, Vitest, Playwright, Cypress, JUnit. Whatever your stack speaks.
• CI. GitHub Actions, GitLab CI, occasionally Jenkins (when we have to).
• Load. k6, Locust, JMeter.
• Monitoring. Prometheus + Grafana, Datadog, Sentry.

A note on testing philosophy

We don’t believe in 100% coverage as a goal. We believe in covering what matters — critical paths, edge cases that have bitten you before, integrations that are likely to drift. A small, fast, trustworthy test suite is worth more than a giant one nobody runs.