Technologies
Engineering stack for products that have to work.
Backend systems, SaaS platforms, mobile products and cloud infrastructure. We choose the stack after the problem is clear — and every page here tells you when it is the wrong choice too.
- MERN Stack
- MEAN Stack
- Next.js
- React.js
- Node.js
- React Native
- MongoDB
- AI & LLM Engineering
- Cloud & DevOps
The stack is the answer. It is never the question.
- React
- Next.js
- Node.js
- TypeScript
- React Native
- Flutter
- MongoDB
- PostgreSQL
- Redis
- Express
- NestJS
- GraphQL
- AWS
- Azure
- GCP
- Docker
- CI/CD
- RAG pipelines
- Vector search
- LLM evals
Architecture first
Technology decisions connected to architecture.
A stack is only as good as the architecture underneath it. Every technology below is applied through the same delivery discipline.
- 01
Scalable APIs
Secure APIs with performance and observability built in.
- 02
Event systems
Queues, retries, async jobs and resilient flows.
- 03
AI infrastructure
RAG, vector search, orchestration and guardrails.
- 04
Distributed data
Models, caching, analytics and data pipelines.
- 05
Cloud delivery
CI/CD, containers and infrastructure as code.
Stacks & frameworks
Full-stack directions we lead with.
Connected stacks for dashboards, portals, SaaS products and data-driven web applications — chosen for maintainability, not fashion.
MERN Stack
One connected JavaScript stack — MongoDB, Express, React, Node — for products a team can still maintain two years after launch.
MongoDB · Express · React · Node.js
Explore MERNMEAN Stack
Angular in place of React — the same connected JavaScript stack, favoured where enterprise teams want structure and typed patterns built in.
MongoDB · Express · Angular · Node.js
Explore MEANNext.js
Server-rendered React for products where search visibility, first paint and Core Web Vitals are business requirements, not nice-to-haves.
Next.js · React · Node.js · TypeScript
Explore Next.jsCore engineering
The layers most products are built from.
Frontend, backend and mobile — the individual capabilities under every stack above, available on their own where that is what the project needs.
React.js
Component-driven interfaces for dashboards, portals and products with real interaction depth — not brochure sites.
React · TypeScript · Component architecture
Explore React.jsNode.js
Event-driven APIs and services — the backend layer under most of what we deliver, from nine-week MVPs to high-throughput platforms.
Node.js · Express / NestJS · TypeScript
Explore Node.jsReact Native
iOS and Android from one codebase — cross-platform mobile without funding two native teams, sharing logic with your web app.
React Native · Expo · TypeScript
Explore React NativeApplied AI
Modern AI stacks with real engineering discipline.
LLM products that hold up in production — retrieval, agents and tool use, kept honest by evaluation harnesses and cost controls.
- RAG pipelines
- AI agents
- Vector databases
- Eval harnesses
- Guardrails
- Cost & latency budgets
Data, AI & cloud
The foundation everything runs on.
Data modelling, applied AI and cloud delivery — where reliability, cost control and observability are decided.
MongoDB
Document data modelling for products whose shape evolves — with the indexing and aggregation discipline that keeps it fast at scale.
MongoDB · Atlas · Aggregation pipelines
Explore MongoDBAI & LLM Engineering
RAG, agents and tool use built properly — with the eval harnesses and guardrails that keep them from embarrassing you.
LLMs · RAG · Agents · Evaluation harnesses
Explore AI & LLM EngineeringCloud & DevOps
AWS, Azure and GCP with CI/CD, containers and observability built in from the first sprint — not bolted on at the end.
AWS · Azure · GCP · Docker · CI/CD · IaC
Explore Cloud & DevOpsInside each page
What every technology page covers.
Practical selection guidance
Right fit, wrong fit, consider instead — honest about when another stack serves you better.
Where it makes sense
The products and problems this technology is genuinely strong for.
Where we've shipped it
Real engagements from our Work — not invented case studies.
Pairings & services
Related technologies and the TrivialWorks services built on them.
The constant
What every stack here gets.
The technology is the variable. This is not — whichever of the nine above turns out to be right for you.
the same engineering discipline
- Typed end to endTypeScript by default
- Senior sign-offA named human on every diff
- Tests to criteriaWritten to week-one acceptance
- DocumentationSo the next team can read it
automated delivery, from week one
- CI/CDDeploy on every merge
- Infrastructure as codeEnvironments reproducible
- StagingClickable from week three
- ObservabilityTracing, alerting, dashboards
what actually breaks in production
- Security reviewAdversarial review, secret scanning
- Performance budgetsLatency and cost, costed up front
- AccessibilityEmpty states and screen readers
- Error trackingCaught before it is your incident
yours, with nothing to buy back
- Your repositoryYour account from week one
- Your cloudNo platform underneath
- Your IPAssigned in the contract
- No lock-inNothing to license back
Need help choosing the right stack?
Tell us the problem. You get back the honest shortlist — including the case for not building it the obvious way — from an engineer, not a salesperson.