With all the recent advancements in AI-assisted software development, we frequently get asked where software development is headed by young engineers we speak to at engineering institutions and at businesses we advise. GreyNeuron's take on this is that AI will lead in the green field projects, that most Human Developers will become system integrators, and that AI will pose more challenges for entry level jobs. Design thinking, Critical thinking, and System thinking all become crucial to succeed in you careers. Finally, since the boss cannot dismiss the AI, so Human Devs will continue to be needed. Read More ...

Our team is developing a new product, and as part of the process, we are documenting design conversations that emerge within our diverse group of engineers—each bringing different levels of experience and database expertise to the table. This post captures key insights on:
✅ Using AI to Generate Database Schemas – Expectations vs. Reality
✅ Trade-offs in Database Optimization – Balancing row storage, index storage, and query performance
✅ Why You Should Avoid ENUMs in PostgreSQL – The hidden pitfalls of space efficiency and long-term maintainability
✅ Why MySQL Offers More Storage Options – Exploring how MySQL provides flexibility for space-optimized database design. Read More ...

While NVIDIA is firmly entrenched as the dominant player in AI with its indispensable chips required for AI workload, the AI hardware market is undergoing a seismic shift. Competitors like AMD and Intel, as well as tech giants like Google, Microsoft, Amazon, and Meta, are making strides in a race to catchup with NVIDIA. That said, NVIDIA’s software ecosystem remains its ultimate moat. Let'sexplore why NVIDIA is so hard to beat, where its competitors stand, and whether the industry can unite to create a common software ecosystem that challenges NVIDIA’s supremacy. Read more...