# REA Group Learn from REA Group's brightest tech minds as they share what's happening in the technology space. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Are REA's Architecture Principles still relevant in an AI-assisted world? DevFeed: [Are REA's Architecture Principles still relevant in an AI-assisted world?]() Original publisher: [Read original article]() Author: Jarrod Boyes Published: 2026-08-14T05:19:28Z Content type: article Language: en Sources: [REA Group]() Topics: [AI-assisted coding](), [systems](), [Development](), [Software]() Tags: [ai-assisted-coding](), [architecture](), [guardrails](), [software](), [systems](), [tech]() ### AI overview REA reviews whether its architecture principles remain relevant as AI-assisted coding and broader AI integration become part of software delivery. The review concludes that the principles still provide a strong foundation, while stronger guardrails and contextual adjustments are increasingly important. ### Source excerpt Are REA's Architecture Principles still relevant in an AI-assisted world? Introduction At REA, we use a set of architectural principles to guide how we build and evolve the systems behind our products. My colleague Shane previously shared these principles in the article Scaling technology with architectural principles. Every year we review these principles, not because we expect them to change every time, but because we want to test them against the environment we're working in now. ## Android Journey Tests with Gemini: CI Setup & 11-Week Review DevFeed: [Android Journey Tests with Gemini: CI Setup & 11-Week Review]() Original publisher: [Read original article]() Author: Swapnil Gupta Published: 2026-06-19T03:27:13Z Content type: opinion Language: en Sources: [REA Group]() Topics: [Android](), [Artificial Intelligence](), [ui-testing](), [CI/CD](), [Android Studio](), [adb]() Tags: [adb](), [android](), [android-studio](), [ci](), [firebase](), [gemini](), [qa-engineer](), [quality](), [tech](), [tests]() ### AI overview An 11-week experiment evaluated Android Journeys powered by Gemini for AI-driven UI testing in REA Group's production Android app and CI infrastructure. The tests generally remained resilient through UI changes, but CI setup took eight weeks, Firebase Test Lab was unsupported, and manual QA hours did not decrease. The team rated the experience 8.75 out of 10 and voted to continue. ### Source excerpt Writing AI-powered UI tests took minutes. Getting them on CI took eight weeks. Here's what we learned after 11 weeks with Android Journeys and Gemini. ## Five Lessons from My Journey as a Platform Product Manager at REA DevFeed: [Five Lessons from My Journey as a Platform Product Manager at REA]() Original publisher: [Read original article]() Author: Sree Pradeep Published: 2026-03-20T00:31:53Z Content type: opinion Language: en Sources: [REA Group]() Topics: [internal developer platform](), [Platform Engineering](), [Developer Platform](), [scaling](), [reliability](), [Availability]() Tags: [availability](), [deploy](), [developer](), [infrastructure](), [internal-developer-platform](), [latency](), [life-at-rea](), [platform](), [platform-engineering](), [reliability](), [tech]() ### AI overview A platform product manager at REA shares lessons from working on the company's Internal Developer Platform. The article argues that platform success depends not only on infrastructure expertise but also on understanding engineers, simplifying complexity, building trust, and measuring platform impact despite imperfect metrics. ### Source excerpt Five Lessons from My Journey as a Platform Product Manager at REA When I started my journey in platform engineering, I worked on REA's Internal Developer Platform with the aim of giving engineers a fast, safe and simple way to build, deploy and run applications in production. I thought success meant mastering infrastructure, APIs, scaling and reliability. ## My Path to Head of Engineering DevFeed: [My Path to Head of Engineering]() Original publisher: [Read original article]() Author: Jac Domney Published: 2026-02-19T04:29:55Z Content type: opinion Language: en Sources: [REA Group]() Topics: [Development](), [Learning](), [Job]() Tags: [career](), [career-stories](), [coaching](), [developer](), [development](), [engineering](), [head-of-engineering](), [leadership](), [learning](), [team](), [tech]() ### AI overview A personal account of progressing from support work to Head of Engineering, emphasizing mentorship, people leadership, coaching, and adapting development programs to individual needs. ### Source excerpt My Path to Head of Engineering Early in my career, I was tucked away in a corner doing the kind of support work nobody else wanted to touch. I'd spend days wrestling with tricky issues on my own, with no one to bounce ideas off. After a while, I genuinely started to wonder if I just wasn't very good at this. What changed everything was a leader who noticed what I was doing, saw more potential in me than I saw in myself, and quietly opened a door. ## Finding my path: from tech graduate to Machine Learning Engineer DevFeed: [Finding my path: from tech graduate to Machine Learning Engineer]() Original publisher: [Read original article]() Author: Bryan Thia Published: 2025-04-09T06:41:44Z Content type: opinion Language: en Sources: [REA Group]() Topics: [Machine learning](), [Computer science](), [Learning](), [Job]() Tags: [computer-science](), [entry-to-rea](), [learning](), [machine-learning](), [tech]() ### AI overview A computer science graduate describes discovering a passion for machine learning through REA's graduate program. The supplied text highlights exploration across technology fields, a machine learning rotation, work with the PropTrack Automated Valuation Model team, and a structured learning plan. ### Source excerpt Finding my path: from tech graduate to Machine Learning Engineer I studied computer science in university, but I never expected it to be my full-time job. During my second year, I seriously considered pivoting into consulting. However, I'm glad I stayed the course, as it led to immense growth and the discovery of a renewed passion I had never expected. At the start, I had a general feeling of unpreparedness and lack of direction, as I knew nothing about the tech fields out there. ## Scaling Technology with Architectural Principles DevFeed: [Scaling Technology with Architectural Principles]() Original publisher: [Read original article]() Author: Shane Gibb Published: 2025-01-08T01:18:36Z Content type: article Language: en Sources: [REA Group]() Topics: [scaling](), [Software Engineering](), [Development](), [Continuous Deployment (CD)](), [maintenance](), [Design system](), [CI/CD]() Tags: [code](), [continuous-deployment](), [continuous-integration](), [design-system](), [engineering](), [maintenance](), [scaling](), [tech]() ### AI overview REA Group describes how architectural principles developed through 25 years of growth guide its software engineering practices, including decision-making, system resilience, team agility, platform reuse, and continuous deployment. ### Source excerpt REA Group, a global company with 1,000+ digital product builders, developed architectural principles from 25 years of growth. ## Introducing Argonaut: Part Seven. DevFeed: [Introducing Argonaut: Part Seven.]() Original publisher: [Read original article]() Author: Grant Sheppard Published: 2024-07-11T02:08:10Z Content type: opinion Language: en Sources: [REA Group]() Topics: [Web Development](), [Front end](), [Web](), [Monitoring](), [Accessibility]() Tags: [accessibility](), [cli](), [core-web-vitals](), [development](), [frontend](), [micro-frontends](), [monitoring](), [platform](), [tech]() ### AI overview The seventh article in REA's Argonaut series discusses the future of its micro-frontend platform. It describes plans to reduce operational overhead through standardized monitoring and dependency updates, simplify platform-wide changes, and extend the platform CLI with performance and accessibility checks. ### Source excerpt Introducing Argonaut: Part Seven. Authors: Grant Sheppard and Tim Watts The previous post reflected on the past, talking about what worked and what did not whilst building Argonaut, the micro-frontend platform at REA. Valuable lessons have been learnt and applied to the platform, allowing its architecture to be extended to support the needs of web teams across REA. But what does the future hold, and will the journey so far help influence the direction of Argonaut?