Developer Productivity

Meet AgentKit, OpenAI’s drag-and-drop playground that handles all the boring LLM wiring for you.

'Who could refuse that?' Turns out, almost no one - especially when faced with puppy eyes, heartfelt asks, or a desperate Pikachu. Refusing is hard, and it costs more than we admit.

The first-ever scientific research on procrastination among developers revealed 14 positive and 9 negative effects of delaying work.

Yet, 90% of engineering leaders investment in AI tools is their priority.

Developers save about 10 hours a week by using AI coding tools, but the productivity gains are then lost to organizational inefficiencies.

When you ask a developer for a quick chats or to do an ad‑hoc task, it's costing teams time and money.

You don’t need 10x engineers. You need a team that ships safely, learns constantly, and doesn’t rely on heroics. Build systems that make that possible.

According to Stack Overflow’s 2025 survey, 84% of developers are using AI tools - but 46% don’t trust the output. It’s a code-and-question dynamic: developers are coding with one hand and second-guessing with the other.

Ever tried turning a perfectly good car into a plane mid-drive? That’s basically what we’re doing to our apps in some meetings.

Are DBAs the guardians of order or just here to give devs a hard time? Or maybe devs are a little too used to getting their way?

New research on the impact of generative AI on software development showed some paradoxical findings.

Stanford research in developer productivity has identified 0.1x engineers.

Code is an asset, but each line is a liability. Let’s explain.