Discover and learn

04 May 2026 • Jack Rudenko

This guide cuts through the marketing noise with straight-talking profiles of 13 tools, a decision matrix for your team profile, and clear recommendations — including which popular options carry risks nobody talks about.

21 Apr 2026 • Jack Rudenko

This technical case study explores AI agent delegation inside Claude Code. We built specialised agents for research, debugging, architecture, and code analysis — and ran 95 automated routing tests to measure delegation success.

25 Mar 2026 • Ann Velikaya

Boris Cherny, the creator of Claude Code, shares 13 practical workflow tips straight from his own daily routine. From parallel sessions and Plan Mode to verification loops, these are the patterns that actually move the needle for engineering teams.

23 Dec 2025 • Ann Velikaya

Green technology in 2026 is no longer optional — it’s the foundation of modern business strategy. From clean energy and electric vehicles to carbon capture and sustainable solutions, this deep dive breaks down how green tech is reducing greenhouse gas emissions while fueling innovation and economic growth.

23 Nov 2025 • Jack Rudenko

This article breaks down core Go Best Practices – from concurrency and interfaces to documentation and error handling – into simple, practical insights you can apply right away. Perfect for leveling up your Go craftsmanship.

12 Oct 2025 • Jack Rudenko

Not sure whether to use ECS or EKS? This brutally honest guide breaks down the real costs, setup time, and use cases for small teams using AWS. Learn the key differences between these services with us.

20 Aug 2025 • Jack Rudenko

This detailed case study shows how a team of 50 engineers used Claude AI to dramatically speed up cloud development by refining workflows and increasing productivity.

15 Aug 2025 • Jack Rudenko

Your 2025 guide to the best free AI APIs. Compare the top LLM providers, their performance scores, and their free-tier limits, and launch your AI projects at no cost.

06 Aug 2025 • Jack Rudenko

5 hard truths from building enterprise AI agents — including why the best tech often fails, and mediocre agents win. It’s not about intelligence. It’s about fear, control, and reversibility. Real lessons. No fluff.