Engineering Stack
Technology chosen for longevity, not hype cycles
Every tool in our stack is in active production use across client systems today. We select for proven reliability, strong ecosystems, and long-term maintainability.
Our Stack
Built on proven, modern foundations
We select tools for longevity and performance, not trend cycles. Every technology here is in active production use across our client portfolio.
Frontend
Performance-first interfaces built for scale and accessibility.
Backend
API and service layers engineered for correctness and throughput.
Node.jsREST and GraphQL APIs, real-time services, streaming
GoHigh-throughput microservices, CLI tools, performance-critical paths
PythonML pipelines, data engineering, scripting, FastAPI services
PostgreSQLRelational data, ACID compliance, advanced query planning
RedisCaching layer, pub/sub messaging, distributed rate limiting
Infrastructure
Cloud-native infrastructure built for reliability and zero-downtime operations.
Data & AI
Machine learning and data engineering for production-grade intelligent systems.
Our Philosophy
We choose tools that will still be correct in five years
Technology selection is an architectural decision with a multi-year tail. We treat it accordingly.
Production-proven only
We don't adopt technology until it has a track record in production at scale. Version 1.0 of anything is a liability in enterprise systems — we wait for the community to find the failure modes.
Strong ecosystem health
A technology is only as good as its community, tooling, and hiring pool. We favour technologies with deep ecosystems that your team can hire into after we're done.
Operational clarity
Tools that are easy to operate, monitor, and debug in production are worth more than tools that are clever to write. We favour observability and debuggability over novelty.
Right tool for the job
We don't impose a single stack on every project. If your existing system is built on Java and Spring, we work with it. We introduce new tools only when the tradeoffs clearly justify the adoption cost.
Selection Criteria
How we evaluate new technology
Every tool that enters our production stack passes a structured evaluation. This is what that looks like.
Maturity and stability
We assess production maturity, API stability, versioning practices, and the history of breaking changes. Technologies with strong backwards-compatibility commitments are strongly preferred.
Performance under production load
Benchmarks matter less than production behaviour. We look for published post-mortems, known failure modes, and real-world performance data from systems at comparable scale to your use case.
Security posture
We review CVE history, time-to-patch practices, and security audit availability. Technologies with a pattern of delayed security responses don't enter our stack regardless of other qualities.
Operability and observability
Production software must be debuggable. We evaluate native metrics, tracing, and logging support before adoption. A tool that's opaque when something goes wrong is a risk that compounds over time.
Talent availability
Your team will need to hire into this technology after we leave. We factor in hiring market depth and developer familiarity to avoid architectural decisions that create long-term staffing constraints.
Let's Talk Stack
Not seeing your technology?
Our stack above represents what we use most. But we adapt to existing systems — if your project uses something different, let's have a conversation.