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Software Engineering Projects & Case Studies

Software we've designed, built, and shipped — with the outcomes to match

Every project below was work someone paid for and now depends on. Where we can publish the detail, the case study follows the same three beats — the problem we were handed, what we designed and built, and the measured impact once it was live. Where a number appears it is one we can stand behind: test coverage, regression time, weeks to launch.

A Case Study badge means the full write-up exists. Where a card carries a status label instead, it is not delivered client work — it is our own product, or something still being built, and it says so rather than borrowing the credibility of a shipped engagement. The rest state the web platform work and quality engineering we actually did, and stop there.

AiDotKaam — Full-Stack Engineering project
Full-Stack EngineeringCase Study

AiDotKaam

Designed, built and live in under 4 weeks

An online AI school for beginners in Pakistan, taught in Urdu and English. We built the whole platform on Rails 8 — paywalled video courses, quizzes, verifiable certificates, and a locally-payable enrolment flow.

Ruby on Rails 8PostgreSQLHotwireStimulusBootstrapTailwind CSSActive StorageDockerKamal
Noldor — Quality Engineering project
Quality EngineeringCase Study

Noldor

50+ E2E scenarios automated

An insurance-technology platform with multi-portal data workflows on Ruby on Rails. We built its end-to-end Cypress + Cucumber BDD automation from scratch in an Nx monorepo.

CypressCucumber/GherkinJavaScriptRuby on RailsStimulusPostgreSQLAPICI/CD
LumeCare — Full-Stack Engineering project
Full-Stack EngineeringCase StudyDevelune product · in build

LumeCare

A skincare storefront built on radical ingredient transparency — every formula publishes its actives at their exact strength, with the full INCI. Develune's own product, currently in build.

Next.jsReactTypeScriptNestJSPrismaMySQLTailwind CSSDockerKamal
Worship Support Network — Web Platform Engineering project
Web Platform Engineering

Worship Support Network

A community platform for worship support and resources. Our team delivered front-end development and full-flow QA across registration, events, and donations.

PHPSQLJavaScriptHTMLCSSSCSS
Walexport — Web Platform Engineering project
Web Platform Engineering

Walexport

An export-management e-commerce platform. We handled front-end work and QA across checkout, payment integrations, and cross-browser compatibility.

PHPSQLJavaScriptHTMLCSSSCSS

The sectors these platforms were built for

Each project sits behind a sector page describing the constraints that shaped it.

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

What every engagement guarantees

The same commitments apply to every client, on every project, and they are written into the agreement.

  • 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.

Common Questions

What a case study contains, why some projects have none, who owns the work, and taking over a codebase

How do you work out what a project involves?

It depends entirely on your requirements, and we would rather tell you that honestly than publish something that fits nobody. A small integration and a multi-team platform are not the same job. So we start by understanding what you actually need, then agree everything in writing before any work starts. Send us a short brief and we will come back with a recommended way to work together, usually within one business day, with no obligation.

What is in a Develune case study?

The same three things, in the same order: the problem we were handed, what we designed and built to solve it, and the measured impact once it was live. Where a number is claimed it is one we can stand behind — test coverage, regression time, time to launch — not a rounded-up percentage. Each study also names the stack, our role on the engagement, and what we would tell the next team inheriting it.

Why do some projects have no case study?

Not every engagement is ours to publish in full. Some were one part of a larger programme where the outcome was not ours alone to claim, and some are still in build — which the card says plainly rather than letting an unfinished project borrow the credibility of a shipped one. Where there is no case study, the card states the work we actually did and stops there.

Who owns the code Develune writes?

You do, from day one. The code, the data, the infrastructure, the designs, and the documentation are yours — including the right to take them to another team. Every engagement ends with a documented handover so your system can be operated and extended without us.

Can Develune take over a project someone else started?

Yes, and it is a regular part of our work. We start with a codebase audit covering architecture, dependency risk, security exposure, and test coverage, then give you an honest assessment of what is salvageable and what is not. We modernize incrementally wherever possible and only recommend a rewrite when we can show the reasoning.