How Generative AI is transforming SDLC: A report by DefineX

One of the exciting use cases for GenAI is how you can use AI and AI agents acorss the entire Software Developmwnt Life Cycle (SDLC) to drive to speed and efficencies. DefineX - Consulting, Technology & Labs has conducted an amazing study on this and have shared the learnings in the attached report. Highly recommended to read , feel free to reach out to me to schedule a session on how we can help you assess where AI can provide the highest impact for your organization’s SDLC.

One of the exciting use cases for GenAI is how you can use AI and AI agents acorss the entire Software Developmwnt Life Cycle (SDLC) to drive to speed and efficencies. DefineX - Consulting, Technology & Labs has conducted an amazing study on this and have shared the learnings in the attached report. Highly recommended to read , feel free to reach out to me to schedule a session on how we can help you assess where AI can provide the highest impact for your organization’s SDLC.

Generative AI is transforming the way businesses create value. Top organizations realize that mere modernization isn't sufficient; they're rethinking their potential. In this article, Dr. Jianmin Jin, our Chief Digital Economist, delves into the necessity for companies to establish new AI-Native Platforms that facilitate value generation, allowing them to evolve and thrive sustainably within society. Explore the full insights here: https://okt.to/B7jsCa #Modernization #Transformation #AINative #GenerativeAI

🐘 AI-generated PRs are getting bigger. A lot bigger. In our early analysis for the 2026 Software Engineering Benchmarks Report, we found that AI PRs are ~2x larger than human PRs — but they’re only approved 32.7% of the time, compared to 84.4% for human-authored changes. That gap tells us two things engineering leaders already feel in their day-to-day: ➡️ Reviewers don’t fully trust AI-assisted changes yet ➡️ Agentic tools are still learning how to scope and structure code safely And the consequences aren’t small. Larger, low-confidence PRs slow flow, increase rework, and force teams to invest more human oversight than expected. In our upcoming benchmarks workshop, we’re breaking down: ✅ Why AI PRs inflate ✅ The real-world patterns behind low approval rates ✅ How leading enterprises are adapting review guidelines for AI ✅ What “right-sized” AI contribution should look like in 2026 If your organization is exploring AI coding agents or already wrestling with their operational impact, you won’t want to miss the insights we’re about to share. 👉 Register for the 2026 Benchmarks Roundtable here: https://lnkd.in/gv3HrcRV

We’ve just published BeyondCode, a research-backed report on how Generative AI is reshaping the Software Development Lifecycle (SDLC).   The study draws on insights from 600+ practitioners and 70+ executives across Middle East, UK & Turkey — DefineX’s primary markets. Through themes such as engineering productivity, organizational readiness, and AI governance, the report uncovers how GenAI adoption varies by role, organization size, and region, distilling those findings into actionable insights for technology leaders.   Across banks in the Middle East, daily use of GenAI tools in technology delivery is becoming the norm. Yet organizational maturity still lags behind:   - 85% of developers say AI already improves delivery, saving 4–6 hours per week. - 60% receive AI training, but only 31% have a structured review process. - Just 35% report a clear AI strategy.   The AI-native era has begun. The next challenge is institutionalization — scaling from individual productivity to enterprise-wide transformation. Those who move from experimenting with tools to embedding AI within structured workflows and governance models will define the next wave of technology delivery excellence.   At DefineX, we partner with financial institutions and technology organizations across the Middle East to turn scattered productivity wins into structured, auditable, and scalable AI delivery frameworks — combining: • Specification-driven workflows • Governance and quality assurance models • Human–AI collaboration design    🔗 Read the full report: https://lnkd.in/devUj-yZ

AI promised faster coding. Experienced developers moved slower instead. The 19% productivity drop wasn't a bug. It was intelligence recognizing complexity. A 2025 study shattered expectations. Expert developers using AI tools took 19% longer to complete tasks. They thought they were working faster. The data said otherwise. Why does expertise create friction with AI? • Context switching between human and AI thinking • Verification overhead for AI suggestions • High standards that AI output doesn't always meet • Learning curve for new tool integration This isn't failure. It's adaptation. Every technology transition has an initial dip. Teams experience friction before finding flow. The key is targeted deployment: ✅ Use AI for scaffolding and boilerplate code ✅ Keep complex architecture decisions human-driven ✅ Allow gradual integration over time Smart organizations embed AI thoughtfully throughout development. They don't apply it everywhere at once. The productivity gains will come. But they require patience and strategic implementation. Expert developers aren't resisting progress. They're ensuring quality while adapting to new workflows. Have you experienced this initial slowdown with AI tools? What helped you move past it? #AI #SoftwareDevelopment #Productivity 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/ePaCXp8C

The rise of Generative AI is shaping how organizations generate value. Leading companies are looking beyond modernization, understanding that upgrading systems is not enough: they’re reimagining what’s possible. In this article, Dr. Jianmin Jin, our Chief Digital Economist, explores how companies need to set new foundations: AI-Native Platforms for value creation, enabling them to adapt to change and grow sustainably with society. Discover all the insights here: https://lnkd.in/d6tDgvw6 #GenerativeAI #Modernization #Transformation #AINative

An interesting thought occurred to me recently while experimenting with an AI coding assistant. The tool was brilliant at executing small, specific tasks but struggled to maintain the architectural integrity of a larger, more complex system. It kept opting for the quick fix over a robust solution, forgetting principles we had established just moments earlier. It struck me that this both technical limitation as well as a reflection. AI models are trained on the vast output of human work, and they are inheriting not just our knowledge but our cognitive shortcuts and biases as well. This includes our collective tendency to favor immediate, tactical wins over the harder, more disciplined work of building durable, systemic solutions. We've all seen the "duct tape and bailing wire" fixes in our organizations that solve today's problem but create tomorrow's crisis. The behavior of the AI was a mirror, showing me a scaled-up version of a very human anti-pattern. This is a profound challenge for us as leaders. As we integrate AI, we aren't just implementing a new technology; we are embedding a reflection of our own organizational habits and decision-making culture. If we want to build better systems with AI, we must first commit to being better systems thinkers ourselves. In my latest article, I explore why this human-led oversight is more critical than ever. Read more in my latest reflection: https://lnkd.in/ehsZit2A Subscribe to "Do Good by Doing Better" for more insights at the intersection of technology, business, and culture. And how are you balancing the incredible speed of AI-driven solutions with the need for long-term, systemic thinking in your organization? #SystemsThinking #AIStrategy #Leadership #TechInnovation #FutureOfWork

🚀 85% of AI projects never make it to production. Not because AI isn’t powerful, but because we’re still managing it like traditional software. The organizations seeing real ROI have something in common: ✅ Speed advantage ✅ Market responsiveness ✅ Innovation velocity They’ve stopped treating AI as isolated experiments and started building collaborative platforms, where domain experts and engineers iterate together, in real time. Read the full article below to know more. #AI #Innovation #DigitalTransformation #Leadership https://lnkd.in/e2fzUYJr