One hundred technologies — and an opinion about which one you need.
A stack is a commitment your company lives with for years. This page explains how we choose one with you, how we run delivery around it, and exactly what our 200+ engineers cover.
TechHub engineers cover more than 100 technologies across front-end, mobile, back-end, data and AI, cloud and DevOps, blockchain, QA and business platforms. We work in your existing stack by default, and when a stack has not been chosen yet we help you choose one you can still hire for in three years.
How should you choose a technology stack?
The right answer is rarely the newest one — and almost never the one the vendor happens to specialise in.
Most technology decisions that go wrong were made for the wrong reason: a framework was fashionable, an architect wanted to learn it, or a vendor only knew one thing. Because we staff across every mainstream stack, we have no commercial incentive to steer you towards a particular one — which is the only honest position from which to give this advice.
We weigh four things with you. Hiring depth: can you recruit for this in your market and in ours, in three years, at a price you will accept? Fit to the problem: an I/O-heavy API and a CPU-heavy pipeline do not want the same runtime. Total lifetime cost: licences, hosting, and the cost of upgrading across major versions. Your existing estate: a second language in a small organisation is usually a worse decision than a slightly imperfect fit.
The output is a written recommendation with the trade-offs stated, including the case against our own recommendation. If your existing stack is fine, we say so — replatforming is the most expensive advice a partner can give and the easiest to sell.
How does delivery actually run, whichever service you buy?
The stack changes. The delivery discipline does not.
Staff augmentation
Our engineers work inside your process — your board, your ceremonies, your definition of done. We add the engineering, you keep the method. Written daily updates where teams are distributed.
Dedicated team
We run the delivery process to standards agreed with you: sprint cadence, code review rules, QA gates, release process and a named delivery lead who reports on outcomes rather than activity.
ODC / Build-Operate-Transfer
We build the centre, the process and the documentation so that all three can be transferred. From day one everything is written down as if you will run it yourself — because you will.
Which technologies do TechHub engineers cover?
Eight layers, more than 100 technologies. Anything missing is typically recruited within two to three weeks.
Front-end
What your users touch
- React
- Next.js
- Vue.js
- Angular
- TypeScript
- Tailwind
- Svelte
- Micro-frontends
Mobile
Native and cross-platform
- Swift / iOS
- Kotlin / Android
- React Native
- Flutter
- Ionic
- Xamarin
- PWA
Back-end
Where the business logic lives
- Node.js
- Java / Spring
- .NET / C#
- Python
- Go
- PHP / Laravel
- Ruby on Rails
- NestJS
Data & AI
Turning data into decisions
- PostgreSQL
- MongoDB
- Redis
- Kafka
- Airflow
- PyTorch
- TensorFlow
- LangChain
- RAG pipelines
Cloud & DevOps
How it runs and stays running
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- GitLab CI
Blockchain & Web3
When decentralisation is the requirement
- Solidity
- EVM chains
- Smart contracts
- Hyperledger
- NFT platforms
- Wallet integration
Quality & security
Evidence, not assurance
- Jest / Vitest
- Playwright
- Cypress
- JUnit
- k6 load testing
- OWASP practices
- SAST / dependency scanning
Business platforms
When buying beats building
- Salesforce
- Dynamics 365
- Odoo
- Zoho
- Power Apps
- Mendix
- WordPress
- Shopify
- Magento
What does “Industry 4.0” actually mean for a company hiring engineers?
Four capabilities that have moved from experiment to expectation in the last three years.
Applied AI, not AI theatre
Retrieval-augmented generation over your own documents, classification and extraction pipelines, forecasting, and agentic workflows that take actions in your systems. We start from the process you want to change, not from the model.
Hire generative AI developers →A data platform you can trust
Ingestion, warehousing, streaming with Kafka, orchestration with Airflow, and the modelling discipline that makes numbers agree across departments. Most AI projects fail at this layer, not at the model.
Hire ML engineers →Cloud-native and cost-aware
Containerised services on AWS or Azure, infrastructure as code, autoscaling and observability — plus the unglamorous work of keeping the bill proportionate to the traffic.
Hire DevOps engineers →Automation and integration
ERP, CRM, logistics and payment integrations, workflow automation and low-code platforms where a custom build cannot be justified. The goal is fewer humans re-typing data between systems.
Business platform work →What engineering standards do your teams work to?
The practices that decide whether code written this year is still maintainable next year.
- Code review on every change — to standards agreed with your team, not ours
- Automated testing — unit, integration and end-to-end, with coverage targets set per project
- CI/CD pipelines — GitHub Actions or GitLab CI, with staged environments and rollback
- Infrastructure as code — Terraform, so environments are reproducible rather than remembered
- Written architecture decisions — short ADRs, so future engineers know why, not just what
- Security by default — dependency scanning, SAST, OWASP practices, least-privilege access
- Observability — structured logging, tracing and alerting before launch, not after an incident
- Documentation as a deliverable — runbooks and onboarding notes that survive a handover
Every engagement runs under an information security management system aligned to ISO/IEC 27001, with quality processes certified to ISO 9001. In practice that means role-based repository and environment access, device and password policy, logged access to production data, and a documented offboarding checklist.
Intellectual property in everything we build is assigned to your company, and NDAs cover every individual on the engagement. If your compliance team needs evidence, we provide certification documentation and policy summaries rather than generic assurances.
What if our current system is the problem?
Legacy modernisation is most of the difficult work in enterprise engineering — and most of the wasted budget.
The instinct with an ageing system is to rewrite it. In our experience that is right perhaps one time in five. A rewrite restarts the clock on every bug you already fixed, and the business rules that matter are usually undocumented and living inside the code you are about to delete.
We start with an assessment: what actually hurts — performance, cost, security exposure, hiring, or the inability to ship? Each of those has a different remedy. Sometimes it is a strangler-fig migration where new functionality moves out module by module. Sometimes it is a runtime upgrade — moving .NET Framework to modern .NET, or an old PHP or Java version forward — which delivers most of the benefit for a fraction of the risk. Occasionally it is a genuine rebuild, and we will say so plainly.
What we do not do is quote a rewrite because it is a bigger contract. The assessment is written, priced separately, and useful to you even if you take it to someone else.
Do your engineers use our tools or yours?
Yours. Every time.
Engineers work in your repositories, your ticketing system, your CI pipeline and your communication channels — Jira, Azure DevOps, Linear, GitHub, GitLab, Slack, Teams. We do not run a parallel process and export a status report; you see the same board your own team sees.
Time zones are handled explicitly rather than optimistically. Hanoi is UTC+7: full overlap with APAC, a strong overlap with European mornings, and an evening handover for North America. Where overlap is partial we compensate with written daily updates, recorded demos and asynchronous review — and we agree those rules in week one rather than discovering them in month two.
Frequently asked questions
Which technologies does TechHub work with?
What if the technology we use is not on your list?
Will you work in our existing stack or push your own?
Do your engineers use our project management and code tools?
How do you handle code quality and testing?
Can you help us modernise a legacy system?
Do you build AI features, or just talk about them?
Who owns the code and the intellectual property?
Not sure which stack you need?
Tell us what you are building and what constrains you. We will come back with a written recommendation — including the case against it — and the engineers who could start in about a week.