AI coding tools

Side-by-side comparison showing a curated demo environment with smiling team members and green status indicators versus grainy CCTV-style footage of a 3:47 AM incident with error dashboards, cold pizza, and engineers rolling back deployment

Your AI Coding Demo Looked Perfect. Your Production Deployment Is a Mess. Here’s Why.

AI coding demos look magical: agents fixing builds, shipping features, and letting developers “stay in flow”. Reality is messier. Teams see more debugging, governance headaches, and underwhelming ROI. This piece breaks down the demo-to-production gap—and what engineering leaders should actually do about AI coding tools.

Your AI Coding Demo Looked Perfect. Your Production Deployment Is a Mess. Here’s Why. Read More »

Visual comparison of Anthropic Claude Haiku 4.5 minimalist branding and OpenAI GPT-5 Codex demonstration showing contrasting developer marketing approaches through interface screenshots, collaboration scenes, and terminal icons

The 40-Second Battle for Developer Trust: What Anthropic and OpenAI’s Videos Reveal About Marketing to Sceptics

Two videos released within 24 hours reveal opposing philosophies about earning developer trust. Anthropic’s 40-second Claude Haiku 4.5 announcement refuses to explain anything—just abstract visuals and benchmark specs. OpenAI’s five-minute GPT-5 Codex tutorial shows two engineers building a multiplayer game from scratch, complete with deployment and live testing. One company bets on brevity and developer intelligence. The other bets on transparency and proof. Both understand that developers don’t want charm—they want technical substance. This analysis examines what these radically different marketing approaches reveal about the evolving battle for developer mindshare in the AI coding tools market.

The 40-Second Battle for Developer Trust: What Anthropic and OpenAI’s Videos Reveal About Marketing to Sceptics Read More »

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