Intelligenic Insights
Explore Intelligenic Insights — a curated collection of articles, podcasts, and thought leadership from our team. Discover expert perspectives on AI, product strategy, engineering, and innovation.
Collaboration Between AI and Developers: Augmenting Capabilities and Boosting Productivity
In the evolving landscape of software development, the question is no longer if AI will change the game — it’s how we choose to play with it. At Intelligenic, we…
Enhancing User Experience: The Role of AI in Design Process Automation
User experience (UX) is no longer just a design discipline—it’s a business imperative. In today’s competitive digital landscape, companies that deliver intuitive, personalized, and seamless experiences stand out. But great…
Best Practices in the SDLC — Evolved for the AI Era
The Software Development Life Cycle (SDLC) provides a framework for structured, predictable, and efficient software delivery. But in 2025, “best practices” for the SDLC look a little different, especially when…
Ethics in AI Development: Building with Responsibility
As AI becomes deeply embedded in the Software Development Life Cycle (SDLC), ethical considerations are no longer optional—they’re essential. Here’s what responsible AI development looks like in practice—and why it…
The Future of SDLC with AI: Smarter, Faster, More Predictive Development
As software continues to power every aspect of modern life, the demand for faster, more reliable, and more intelligent development practices has never been higher. Enter AI in the Software…
The Importance of Feedback Loops: How AI Is Revolutionizing User Testing
AI is transforming feedback loops—making them real-time, predictive & scalable. Smarter insights, better products.
Overcoming Challenges in Incorporating AI Into Your SDLC
Incorporating Artificial Intelligence (AI) into the Software Development Life Cycle (SDLC) promises enhanced efficiency, faster delivery, better decision-making, and reduced human
From Code to Quality Assurance: Automating the SDLC with AI Tools
By embedding AI at every stage of the software development lifecycle (SDLC), organizations can shift left on quality, catch bugs in real time, and deliver reliable software faster.
Evolution Positive Reinforcement Models in AI
In the rapidly advancing landscape of artificial intelligence (AI), the traditional static models are becoming increasingly obsolete. The next frontier in AI development is the emergence of customized models that…
A Beginner’s Guide to AI-Enhanced Project Management for Software Development
Intelligenic explores how AI can help those new to AI enhance the management of their software development initiatives.