TechMeetUps @ SG

⚙️ Fresh from Engineers.sg Building with AI agents: 223 pull requests in 11 days - HacktoberFest 2026 Speaker: Julien Dubois LinkedIn: https://www.linkedin.com/in/juliendubois/ A side project I never had time to build shipped in just 11 days — 223 merged pull requests, mostly written by AI agents working in parallel while I reviewed, guided, and merged. This talk breaks down how it was done, and whether it really counts. Event Page: https://www.meetup.com/junior-developers-singapore/events/316633543/ Produced by Engineers.SG https://engineers.sg/video/building-with-ai-agents-223-pull-requests-in-11-days-hacktoberfest-2026/

⚙️ Fresh from Engineers.sg Open Source for Everyone: Why (and How) to Take the Leap - HackoberFest 2026 Speaker: Jean-Phi Open source is an integral part of our daily technological lives, whether it involves indispensable tools like GitLab and Mattermost, or languages and libraries like React and Quarkus. Taking the step to contribute remains an intimidating milestone for many people. However, pushing past this barrier and making that leap opens up very interesting opportunities, both on a human and technical part. In this presentation, I will share my journey: from my very first contribution more than 8 years ago to the creation of my own open-source projects. My goal is to prove to you that anyone can contribute, whether you are a developer or not, and to give you the keys to get started with confidence. Event Page: https://www.meetup.com/junior-developers-singapore/events/316633543/ Produced by Engineers.SG https://engineers.sg/video/open-source-for-everyone-why-and-how-to-take-the-leap-hackoberfest-2026/

⚙️ Fresh from Engineers.sg Taqwright in 3 minutes: install, scaffold, and run your first Android test Get started with Taqwright, mobile UI test automation on the Playwright runner with a flat locator API on top of Appium 3. In this walkthrough we go from zero to a passing Android test: install the package, scaffold a project with init, run the sample test on an emulator, and open the HTML report. What you'll see: • Installing Taqwright from npm • Scaffolding a project with npx taqwright init • Running the first test on an Android emulator • Viewing results in the HTML report Chapters: 0:00 Install Taqwright from npm 0:10 Scaffold a project (npx taqwright init) 0:43 Run the taqwright doctor command 0:52 Run the taqwright devices command 1:09 Running the tests 2:05 Viewing the HTML report Commands used: npm install --save-dev @taqwright/taqwright@latest npx taqwright init npx taqwright doctor npx taqwright devices npx taqwright test npx taqwright show-report Links: • Docs: https://www.taqwright.dev/docs • Demo project: https://github.com/Taqwright/taqwright-demo https://engineers.sg/video/taqwright-in-3-minutes-install-scaffold-and-run-your-first-android-test/

⚙️ Fresh from Engineers.sg RAG + n8n: Context-Aware Test Case Generation by Priyank Shah Discover how combining Retrieval-Augmented Generation (RAG) with n8n workflow automation can revolutionize your test case generation process. This session demonstrates how to build context-aware testing pipelines that understand your application's domain. Key Takeaways: • Learn to integrate RAG for intelligent, context-driven test case creation • Build automated workflows with n8n to streamline QA processes • Balance speed and quality without compromising test coverage • See a live demo of the RAG + n8n pipeline in action https://engineers.sg/video/rag-n8n-context-aware-test-case-generation-by-priyank-shah/

⚙️ Fresh from Engineers.sg De-fragmenting AI in Testing by Pradeep Soundararajan You are in the beginning of 2026. 2025 has been brutal on you in terms of keeping you on the edge of trying to make you learn everything possible about AI. Your brain CPU overclocked and disk has been fragmented quite a lot by hearing and learning multiple things about AI. You are confused how to bring all of this accumulation of knowledge and skills to use in practicality. Should you fail to bring this defragmentation - too many bad sectors get created in your mind and hampers your ability to learn in the future and wonder why despite all the skills and knowledge you fail to grow and frustration sets in. In this talk, Pradeep Soundararajan, who sees the world from the moon and observes himself and others as a tiny spec on a beautiful ball with the drama of AI that has been happening - will present simple, coherent thoughts on de-fragmenting AI in Testing. As an example - he will speak about the difference between learning AI to build something versus learning AI to operate it to solving a problem. Knowing this difference will free up a lot of people. He wishes a lot more people get this message because there are immensely talented people in this world of testing but they all seem to roam around like zombies heading (learning) in all directions (whatever it thrown at them to learn) without a clarity as to why they are heading that way. At least that's how it looks from the moon. Pradeep has 20 minutes to say this. After that the moon moves to a different constellation. Would you be there to catch a glimpse of the view from the moon? https://engineers.sg/video/de-fragmenting-ai-in-testing-by-pradeep-soundararajan/

⚙️ Fresh from Engineers.sg Playwright-style codegen for mobile - Taqwright Codegen Stop hand-writing locators. taqwright codegen opens a browser-based inspector against a real device or emulator, and as you tap and type, it records a fully runnable test and picks the most stable locator for every element you touch. In this video: - Start the inspector with one command (npx taqwright codegen) - Connect to a local emulator or a cloud device (BrowserStack / LambdaTest) - Record taps, typing, swipes, and gestures into a spec - Let codegen rank locators by uniqueness and stability (resource-id / accessibility-id first) - Add assertions from the UI (visible, text, value, count, …) - Export the spec to your project and run it with npx taqwright test taqwright is a Playwright-runner + flat locator API over Appium 3, so you get parallel runs, retries, the HTML reporter, and a familiar test/expect API, but you drive a phone instead of a browser. 🔗 Links Docs: https://taqwright.dev/docs/codegen Get started: https://taqwright.dev/docs/installation Website: https://taqwright.dev #mobiletesting #appium #testautomation #android #ios #qa #playwright #e2etesting https://engineers.sg/video/playwright-style-codegen-for-mobile-taqwright-codegen/

⚙️ Fresh from Engineers.sg Beyond the Script - Practical Test Automation by Nikhil Bhandari In the race for continuous delivery, many teams fall into the "Automation Trap": building brittle, over-engineered suites that cost more to maintain than the value they deliver. Key Takeaways: • Strategic Frameworks: Implementing the Test Pyramid and data-driven methodologies • Decoupling & Observability: Contract Testing for microservices • The Three Pillars: Test Data Management, Modular Design, Environment Stability • Seamless CI/CD Integration https://engineers.sg/video/beyond-the-script-practical-test-automation-by-nikhil-bhandari/

⚙️ Fresh from Engineers.sg Quality Without Compromise: AI-Powered Testing from Figma to Production by Anand Bagmar Problem Statement: Modern teams ship fast, but UI quality doesn't scale. Designs approved in Figma often don't match what reaches production. Selector-based UI tests are fragile, slow to maintain, and flaky. Manual visual checks don't scale across web, mobile, native apps, and PDFs. The result: more test code, less coverage, late feedback, and missed UI defects. Solution: You—the living, breathing, thinking human—are more important than ever. AI scales visual validation across the SDLC, removing repetitive, error-prone work so you can focus on judgment, risk, and delivering real UI quality—faster and with confidence. https://engineers.sg/video/quality-without-compromise-ai-powered-testing-from-figma-to-production-by-anand-bagmar/

⚙️ Fresh from Engineers.sg Shift Everywhere: Testers, Hackers & GPTs Team Up by Santhosh Tuppad The future of QA is no longer about shifting left or right—it's about shifting everywhere. As AI and GPTs reshape how we learn, test, and think, testers, developers, and security professionals have an unprecedented opportunity to go deeper, faster, and wider. This is about collusion between humans and AI, not collision—where GPTs act as thinking partners that help us ask sharper questions and reason deeper. Because in the age of AI: WYPIWYG—What You Prompt Is What You Get. Ask better. Don't be stingy. https://engineers.sg/video/shift-everywhere-testers-hackers-gpts-team-up-by-santhosh-tuppad/

⚙️ Fresh from Engineers.sg Testing Reimagined: The Age of Intelligence by Jency Stella Let's explore the evolution of testing, highlighting its past, present, and future in the ever-changing digital landscape. The Past – The Age of Reactive Testing Testing was treated as a separate and final phase, rendering defect detection costly. The Present – Agile and Intelligent Testing The shift-left model indicates that testing begins early, catching defects quickly. The Future – AI as a Tool, Humans as Decision-Makers AI enhances, humans decide. The future is for adaptive testers who run AI-powered tools with human intelligence. https://engineers.sg/video/testing-reimagined-the-age-of-intelligence-by-jency-stella/

⚙️ Fresh from Engineers.sg Shift-Right Testing: Production as Test Environment by Sparsh Shrivastava Most teams work hard to test before release, yet many real problems still appear only after users start using the product. Performance drops, unexpected behavior and reliability issues often show up in production, not in test environments. Attendees will gain: • A clear understanding of shift-right testing in practice • Ways to use production insights to improve quality • A future-ready mindset for evolving QA roles https://engineers.sg/video/shift-right-testing-production-as-test-environment-by-sparsh-shrivastava/

⚙️ Fresh from Engineers.sg The Next-Gen Tester: Navigating the Era of Artificial Intelligence by Unmesh Gundecha As AI becomes embedded across software development, testers are no longer grappling with what the technology can do, but with how their role should evolve alongside it. Code, tests, and workflows can now be generated at scale, making execution faster and cheaper than ever. Yet higher automation has not automatically translated into higher confidence. The real challenge has shifted from running tests to interpreting signals, framing risk, and deciding what truly matters. This talk introduces a practical operating model for testers in the AI era, clarifying which responsibilities must remain human-owned, where AI can effectively amplify thinking, and what work should be fully delegated. Rather than focusing on tools or trends, it helps experienced testers re-anchor their value around judgment, intent, and decision-making. In an environment where AI is widely available, sustained relevance comes from applying it deliberately—and knowing where human accountability cannot be automated. https://engineers.sg/video/the-next-gen-tester-navigating-the-era-of-artificial-intelligence-by-unmesh-gundecha/

⚙️ Fresh from Engineers.sg Supercharging Appium with MCP by Srini and Sai Discover how the Model Context Protocol (MCP) is transforming mobile test automation by bringing AI-powered context awareness to Appium. You'll learn how MCP enables Claude and other AI assistants to directly interact with your Appium test infrastructure, accessing real-time device states, test results, and application logs. We'll explore practical use cases including: • Intelligent test debugging • Natural language test generation • Automated root cause analysis of test failures https://engineers.sg/video/supercharging-appium-with-mcp-by-srini-and-sai/

⚙️ Fresh from Engineers.sg Productize Yourself as a Tester by Rahul Parwal AI is rewriting how testing is done, but it's also rewriting how testers are seen. Skills alone don't stand out anymore. What stands out is how you package those skills, how you tell your story, and how you productize yourself. By the end of this session, you will: • Explore various dimensions of testing portfolios • Learn to leverage a Portfolio as a stepping stone for career success • Understand why portfolios might be the new work resumes https://engineers.sg/video/productize-yourself-as-a-tester-by-rahul-parwal/

⚙️ Fresh from Engineers.sg Test Analytics Without Decisions Is Just Reporting by Ujjwal Kumar Most test analytics efforts work backwards. Teams measure what is easy—pass rates, coverage, execution time—and hope the data leads to better decisions. The problem is not a lack of data, but analytics disconnected from decisions. Three Key Takeaways: • Common ways test analytics fail to support real testing decisions • A practical, three-step decision-first approach to designing test metrics • Real examples of minimal analytics that inform release readiness https://engineers.sg/video/test-analytics-without-decisions-is-just-reporting-by-ujjwal-kumar/

⚙️ Fresh from Engineers.sg Taqwright Agent Debugs Mobile Apps For You (and it actually works) What happens when you hand an AI agent a vague GitHub bug report and say "go reproduce this"? In this video I use taqwright (https://www.taqwright.ai/) + lime-cli to drive a real Android emulator straight from a plain-English goal — no hand-written test scripts. The AI logs into the app, navigates the UI, runs the exact search from the bug report, and reproduces the failure live. Then we trace it from the screen all the way down to the exact line of Flutter source that causes it. 🐛 The bug: searching "red" in a dress shopping app returns two BLACK dresses too. 🤖 The workflow: report → reproduce on device (AI-driven) → root-cause in code → fix. 🔧 Tools used: • taqwright — Playwright-style mobile UI automation on Appium 3 • lime-cli — AI QA agent that turns an English goal into a real device run • Flutter demo app from the taqelah! community 00:00 The bug report (GitHub issue) 00:15 Letting the AI reproduce it from one English sentence 02:20 Ground truth: what the screen actually shows 04:38 Root cause — the exact line in the Flutter source 04:45 The fix + how to re-verify https://engineers.sg/video/taqwright-agent-debugs-mobile-apps-for-you-and-it-actually-works/

⚙️ Fresh from Engineers.sg Web3 & Blockchain Testing: What QA Needs to Rethink by Chitransh Shrivastava Web3 and blockchain apps sound exciting but when it comes to testing them, many QAs feel a bit lost. The usual test cases don't feel enough while testing wallets, smart contracts, decentralised flows and irreversible transactions. You'll walk away with: • What Web3 apps are from a tester's point of view • What new risks and questions QAs should think about • How testers can start preparing without feeling lost https://engineers.sg/video/web3-blockchain-testing-what-qa-needs-to-rethink-by-chitransh-shrivastava/

⚙️ Fresh from Engineers.sg 2 hacks with a desktop power supply - Hackware Jan 2026 Speaker: Chinmay Pendharkar Event Page: https://www.facebook.com/events/2140542876481480 Produced by Engineers.SG https://engineers.sg/video/2-hacks-with-a-desktop-power-supply-hackware-jan-2026/

⚙️ Fresh from Engineers.sg Why we can't have nice things: Generic methods — GopherCon Singapore 2025 Speaker: Axel Wagner Generic methods would allow us to write chaining APIs. This is particularly important for functional iterator patterns, which currently have to stretch over multiple lines, or be awkwardly nested. It would also allow us to properly attach generic code to the type it belongs to. An example is func N[T constraints.Integer](n N) N in package rand: It makes it easier to choose a random time.Duration, for example. But it should really be a method on *rand.Rand. So no one really contests that it would be useful to have this feature. Even the Go team largely agrees. But the omission was intentional. The reasons for it stretch all the way back, to even before Go’s first open source release. In fact, it might be the reason we even got generics at all. I walk through the uses of this feature, the reasons adding generics took so long and how they lead to this omission. https://engineers.sg/video/why-we-can-t-have-nice-things-generic-methods-gophercon-singapore-2025/

⚙️ Fresh from Engineers.sg Living with AI Agents: OpenClaw & NanoClaw in Practice - JuniorDevSG What happens when AI stops being a tool… and starts becoming an extension of how you think and work? This session showcases personal AI agents built using Openclaw and NanoClaw, demonstrating how designed systems can extend cognition, reduce friction, and reshape personal daily workflows. The presenters will help you understand what AI agents, OpenClaw, and NanoClaw actually are. By seeing real examples, you'll walk away with a practical map of how to automate your own daily life and workflows Presenters: Victoria Lo, Solutions Engineer Lead, WomenDevsSG https://www.linkedin.com/in/victoria2666/ Zawanah Sainuddin, Analyst, WomenDevsSG https://www.linkedin.com/in/zawanah/ About Victoria: I'm a solutions engineer and technical writer for over 5 years, and WomenDevs Singapore Director. About Zawanah: I was a Senior Business Analytics Partner driving analytics programmes across 5 markets in EMEA/APAC, and now design AI-assisted workflows and personal agents for my day-to-day. Zawanah's segment will be on NanoClaw covering: Why she chose NanoClaw as a non-software engineer, key architecture differences, lessons learnt from building her agents to bring forward, demo setup, my use cases - personal assistant, home manager, journaling, career navigator, then she will close with using agents to make our lives easier. Event Page: https://www.meetup.com/junior-developers-singapore/events/315942028/ Produced by Engineers.SG Recorded by: Michael Cheng https://engineers.sg/video/living-with-ai-agents-openclaw-nanoclaw-in-practice-juniordevsg/