PSCU’s journey shows that automating unit test creation not only improves code quality but also accelerates time-to-market. Their case study reveals how reducing manual workload led to a more agile development process and increased overall test coverage. Ready to elevate your testing strategy? Discover how they did it https://hubs.la/Q03dbYvB0

PSCU’s journey shows that automating unit test creation not only improves code quality but also accelerates time-to-market. Their case study reveals how reducing manual workload led to a more agile development process and increased overall test coverage. Ready to elevate your testing strategy? Discover how they did it https://hubs.la/Q03dbYvB0

PSCU’s journey shows that automating unit test creation not only improves code quality but also accelerates time-to-market. Their case study reveals how reducing manual workload led to a more agile development process and increased overall test coverage. Ready to elevate your testing strategy? Discover how they did it https://hubs.la/Q03dbYvB0

Throughput (SDLC metrics) are generally a terrible way to see the impact of GH Copilot (or any SDLC improvement).. ... a simple simulation shows why sources of variability, like hours worked or time spent on inefficiencies, end up overwhelming any improvement in the throughput metric trend line.

Testing early is like checking the map…Not inspecting the wreck after the crash In Systems Engineering, the V-diagram teaches us to think about verification and validation from the start. Pair that discipline with Agile practices and Continuous Integration, and you get a magic combination: 🔹 Clear traceability of requirements 🔹 Fast feedback loops 🔹 Continuous quality built in It’s not just planning ahead—it’s building in safety, speed, and learning at every step. That’s how complex systems deliver with confidence. #SystemsEngineering #VModel #Agile #ContinuousIntegration #QualityByDesign #EngineeringLeadership #ContinuousImprovement

OLD SDLC Model 1st Generation PROTO TYPE MODEL: Prototype Model in Software Development When requirements are not clear, organizations often adopt the Prototype Model. Instead of jumping directly into full development, a sample (prototype) is first created and shared with the client. This helps gather early feedback and gain clarity on requirements before moving ahead with the actual software. 📌 Flow of the Prototype Model: 1. Software Bidding 2. Kick-off Meeting 3. Requirements Gathering 4. Analysis 5. Design 6. Develop Prototype → Share with Client → Get Feedback 7. Coding 8. Testing 9. Release 10. Maintenance ✨ The only major difference from Waterfall: here, a prototype is built before coding to ensure the client’s needs are well understood. This saves time, reduces rework, and increases client satisfaction. 🚀

Wasted hours. Duplicate fixes. Broken builds. That chaos is exactly what code looked like before version control. Prompts evolve the same way. They get reused, forked, and silently drift. Without clear ownership or naming conventions, teams lose track of which one is the *right* version, or worse, they ship something broken because no one realized a change had been made. If we accept that prompts are system artifacts, then we should treat them with the same discipline: 1. Assign ownership 2. Name them clearly 3. Version them It doesn’t need to be a heavy process. Even lightweight conventions create clarity. And clarity compounds. When engineers can trust they’re using the right prompt, iteration speeds up, debugging gets easier, and knowledge stops leaking away. How is your team approaching prompt evolution? Still ad hoc, or are conventions starting to take shape?

🚀 Ever felt like your software development lifecycle was more of a marathon than a sprint? Well, we’ve got a game changer for you! Our latest blog post dives into how vector search on our codebase completely redefined our SDLC automation. Say goodbye to tedious manual processes and hello to streamlined efficiency. Curious about how this transformation can boost your own workflow? Then you won’t want to miss this read. Check out the full post here: https://ift.tt/BDGOaMl. Trust me, your future self will thank you!

CI/CD isn’t just automation, it’s acceleration. With Continuous Integration and Continuous Delivery, every commit can move confidently from code to production. The result? • Faster feedback loops 🌀 • Reduced risk of bugs in production 🐛 • More time to focus on innovation 💡 The best teams don’t wait for “release day” anymore. They build, test, and deploy continuously. Are you already applying CI/CD in your projects, or is it still on your roadmap?

Software development has never stood still. From the heavily structured methods of the 1970s to the flexible frameworks of today, each generation of practice has claimed to revolutionize delivery. Yet when we trace the history, from SSADM and Waterfall, through RAD hybrids and Extreme Programming, to Agile and Scrum, a clear pattern emerges: change was evolutionary, not revolutionary. What we call Agile today was built on decades of experimentation, iteration, and adaptation.