I recently set up an MCP server for Azure DevOps – a task that should have been straightforward. It wasn’t. And the way three different AI tools handled the same problem told me more about their underlying philosophies than any benchmark ever could. The Setup That Broke First Before any comparison could happen, I hit […]
The classic project management adage of ‘Speed, Cost, Quality – Choose two’ is being challenged by advancements in AI. This article explores whether this framework still holds true today.
Exploring the challenges of maintaining code quality in fast-paced development environments and the importance of skilled professionals in the process.
As AI continues to play a significant role in coding and security checks, it’s essential to address the implications for code ownership and deployment decisions.
Exploring the parallels between domain-specific languages (DSLs) and the prompting techniques used with large language models.
Exploring the fundamental reasons why artificial intelligence struggles to replicate the art of dance, despite its capabilities in pattern recognition and analysis.
As AI continues to evolve, the landscape of software development is poised for significant transformation. Domain experts will take center stage, reshaping the industry in unprecedented ways.
Transitioning from a junior to a senior developer is crucial in a world increasingly influenced by AI. This article explores how to nurture juniors into seniors, emphasizing the importance of mentorship, continuous learning, and real-world experience.
I recently played around with Cursor to spin up a basic .NET project and publish it to GitHub. The code was trivial, but honestly, I just couldn’t be bothered to type it out myself. Cursor happily pushed everything into a shiny new repo while I sat back feeling… hmm… productive? Now, I know my way […]