About Develune
One team accountable for the whole stack — and for what happens after launch.
- Company
Develune — full-stack software development company
- Works with
Clients worldwide, remote-first delivery
- Focus
Web · Mobile · Cloud · Data · AI · QA — the whole stack, one team
Develune is a full-stack software development company. We take products the whole way — discovery and design, frontend and backend engineering, mobile, cloud and DevOps, data, AI features, and the automated testing that keeps releases safe. Clients come to us when they want one team accountable for the outcome rather than a build handed between specialists.
We are stack-agnostic by conviction, not by hedging. React, Next.js and TypeScript on the front end; Node, Rails and Python behind it; React Native and Flutter on mobile; AWS, Google Cloud and Vercel underneath. The right tools get chosen for the product, and the reasoning gets written down where you can read it.
Testing is treated as engineering here, not paperwork, and the results are measurable. On one SaaS platform we took automation coverage from 0% to over 80%, cut regression cycles from three hours to forty minutes, and reduced post-deployment bugs by 60%. On a healthcare product, the same discipline shipped zero critical bugs across five consecutive releases. You can see how that plays out in our project case studies. Tests are part of the build here, never a line item you can decline.
We hold Anthropic certifications in Claude Code, the Model Context Protocol, and Agent Skills, and we build production AI with evaluation suites and guardrails rather than demos. AI amplifies engineering judgment; it does not replace it, so every AI-assisted change still passes human review before it ships.
How we got here
The work starts
Contract web engineering for international clients — e-commerce storefronts and community platforms built in PHP, JavaScript, and Rails. The habits that shaped the company came from shipping to real users on real deadlines.
Develune is founded
Founded to offer one team that could take a product end to end rather than handing it between specialists — with testing treated as part of building, never as a phase bolted on at the end.
Quality engineering at scale
Test automation programs across SaaS, healthcare, and compliance platforms — including taking one client from no automated coverage to over 80% of core flows, and regression cycles from three hours to forty minutes.
Full-stack delivery
Engagements widened from testing to owning the build: front-ends, APIs, data models, and the CI/CD pipelines around them, delivered for clients across the USA, Europe, and Asia.
AI engineering, in production
Anthropic certifications in Claude Code, the Model Context Protocol, and Agent Skills, and the first production AI features shipped — built with evaluation suites and guardrails rather than demos.
Nine services, one team
A full-stack catalog spanning software, web, mobile, cloud, data, AI, QA, design, and support — scoped transparently, agreed in writing before work starts, and with clients owning everything we build.
What we commit to
These apply on every engagement, whatever the size.
You own everything
Code, data, infrastructure, designs, and documentation are yours from day one — including the right to take them to another team.
Direct access to engineers
You talk to the people writing the code. There is no account-management layer between you and the work.
Agreed scope, agreed changes
Scope is agreed once and then fixed. Anything outside it is discussed and approved before work starts — never discovered on an invoice.
Tested before it ships
Automated tests and CI quality gates are part of the build, not an upsell. Nothing reaches your users without passing them first.
Your data stays where agreed
Data handling, access, and residency are agreed in writing before the build. We sign NDAs as standard and no client data leaves the agreed boundary.
Documented handover
Every engagement ends with documentation, architecture notes, and a runbook — so your team can operate the system independently.
What we build with
The tools we would take a paid engagement on today. Anything not listed we would tell you honestly we have not shipped with.
Frontend
- TypeScript
- JavaScript
- React
- Next.js
- Tailwind CSS
- HTML5 & CSS3
- Framer Motion
- Design Systems
Backend & data layer
- Node.js
- Ruby on Rails
- Python
- Java
- REST APIs
- GraphQL
- PostgreSQL
- Redis
Mobile
- React Native
- Flutter
- Expo
- Firebase
Cloud & DevOps
- AWS
- Google Cloud
- Vercel
- Docker
- Terraform
- CI/CD
Data & analytics
- Data Pipelines
- BigQuery
- dbt
- Metabase
AI & automation
- Claude
- Gemini
- RAG Systems
- Model Context Protocol
- AI Agents
- Prompt Engineering
Testing & QA
- Cypress
- Playwright
- Selenium
- Cucumber BDD
- API Testing
- Postman
Tooling
- Git & GitHub
- GitHub Actions
- Jira
- Figma
Certified engineering, not claimed
Our AI engineering work is backed by credentials issued by the model vendor itself, not a self-assessment.
Claude Code in Action
Issued by Anthropic · June 2026
Introduction to Model Context Protocol
Issued by Anthropic · June 2026
Introduction to Agent Skills
Issued by Anthropic · June 2026
About Develune, Answered
Where we're based, how long we've been building, and what we actually do.
What does Develune do?
Develune is a full-stack software development company. We take products the whole way — discovery and design, front-end and back-end engineering, mobile, cloud and DevOps, data, AI features, and the automated testing that keeps releases safe. Clients come to us when they want one team accountable for the outcome rather than a build handed between specialists.
Where is Develune based?
Headquartered in Marsden Park, New South Wales, Australia, with additional offices in Brampton, Ontario (Canada) and London (UK). The team works remote-first across time zones, and engagements run for clients worldwide regardless of office location.
How long has Develune been building software?
Develune was founded in 2022, growing out of contract engineering work that started in 2020. Since then the team has shipped 63+ products across 13+ industries, expanding from testing and quality assurance into full-stack delivery and, more recently, production AI engineering.