4 posts tagged with "cursor"

AI Coding Tool Comparison 2026: Claude Code vs Cursor vs GitHub Copilot vs Windsurf​

I use multiple AI coding tools every day. Not because I'm indecisive — because different tools genuinely excel at different tasks. After a year of tracking my usage through PromptConduit and monitoring releases through Havoptic, I have a data-informed perspective on where each tool shines and where it falls short.

This isn't a surface-level feature checklist. It's an honest assessment from someone who ships production code with these tools daily, tracks their release velocity, and measures their impact on productivity.

How to Measure AI Coding Assistant Productivity: A Framework for Engineering Teams​

Here's a question I get asked constantly: "How do you know if AI coding tools are actually making your team more productive?"

It's a fair question. Engineering leaders are investing real budget in Claude Code, Cursor, and GitHub Copilot seats. Developers are restructuring their workflows around these tools. But when someone asks for data — actual numbers on impact — most teams have nothing to show.

I've been working on this problem for over a year, first as an engineering leader trying to justify AI tooling investments at Georgia-Pacific, and then by building PromptConduit to close the analytics gap. Here's the framework I've developed for measuring what actually matters.

PromptConduit: Building Analytics for AI Coding Assistants​

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.

AI Agents and the Future of Development: Lessons from a Hackathon​

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.