Tech stack
Core stacks with on-demand selection under senior supervision.
Our labs operate on proven stacks for speed and reliability. When a program requires a different stack, senior supervision reviews the tradeoffs and approves the selection.
Core supported stacks
Standards maintained by the labs.
Web and API platforms
Mobile delivery
Data and AI systems
Cloud reliability
Integration and automation
On-demand stacks
Selection is flexible when the program demands it.
We support additional stacks to align with existing systems or specialized requirements. Senior supervision ensures these choices are documented and sustainable.
Enterprise platforms
Specialized runtimes
Legacy integration
Experience engines
- Senior engineer reviews constraints and existing systems.
- Stack selection memo documents tradeoffs and risks.
- Pilot or spike validates performance and operability.
Stack-agnostic principles
Consistent engineering principles across stacks.
Architecture first
Stacks are selected after domain boundaries, data contracts, and risk profiles are clear.
Security by design
Threat models, compliance requirements, and audit readiness shape tooling decisions.
Operational clarity
Observability, release gates, and incident response are planned before delivery begins.
Maintainability
We optimize for long-term ownership, not short-term velocity alone.
Selection criteria
The decision framework used by senior supervision.
- Security, compliance, and data residency requirements.
- Team continuity and internal ownership goals.
- Performance, scalability, and latency constraints.
- Operational tooling and observability maturity.
- Vendor lock-in risk and exit strategy.
Next step
Validate your stack choices with a senior-led review.
We document tradeoffs and approve the stack before delivery begins.