Every day, I spend hours having conversations with AI coding assistants. Claude Code helps me debug issues, Cursor generates components, and Gemini CLI answers quick questions. But here's the thing: I had no idea what I was actually asking them. What patterns emerged from my prompts? Which tools got invoked most frequently? Was I getting better at prompting over time?
These questions led me to build PromptConduit.
The future of software development is here, and it's conversational. With AI coding assistants becoming increasingly sophisticated, the way we structure and approach development projects is evolving rapidly. Today, I'm excited to share the Claude Code Template – a comprehensive starter template designed to maximize productivity in AI-assisted development workflows.
What happens when you give a small team of developers one week, a pile of AI tools, and the audacity to think we could build something meaningful? This is our story from the KOLO AI Hackathon – a journey into what agent-led development might actually look like.
Have you ever wished you could assemble a team of AI experts to tackle your projects? Imagine having a researcher who never sleeps, an analyst who processes data in seconds, and a writer who crafts perfect content – all working together seamlessly. This isn't science fiction; it's possible today with CrewAI.
In the evolving landscape of enterprise architecture, we're witnessing a paradigm shift that could fundamentally transform how businesses interact with their applications. I've observed a compelling trend: the emergence of AI agents as direct intermediaries between users and data layers, effectively replacing traditional UI components. This architectural evolution promises to streamline enterprise applications while significantly reducing infrastructure complexity.