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Make informed technology decisions before investing in development.
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We brought young developers together to explore the future of AI agents. More editions are coming soon.
Agentic AI consulting helps teams design, test, and ship AI agents that hold up in production. Here's the 8-part framework we use, from evals to rollout.
AI consulting explained: what it covers, who needs it, what an engagement looks like, what it costs, and how to choose a partner that can actually build
See real 2026 AI development cost benchmarks by project type, engagement model, and region, and what drives the price up or down.
Lemon.io CEO Aleksandr Volodarsky on the software engineer skills that matter in the AI era, why senior demand doubled, and the skills software engineers should focus on building.
6 current ways to use AI in front-end development, including agentic tools, design-system checks, AI code review, and what DECODE's engineers use.
A hands-on comparison of Cursor and Claude Code, updated for 2026 with the latest models, pricing, and features, to help your team pick the right AI coding tool.
A practical framework for measuring AI developer productivity: DORA metrics, AI adoption rate, code churn, review time, and net time savings.
AI promises faster software delivery. Here's what the productivity gains actually mean for engineering leaders managing teams, roadmaps, and hiring decisions.
AI business automation for mid-market ops leaders: how they should approach it, pick the right tools, and avoid costly mistakes.
AI pair programming can cut task time by 55%, but most teams see only 10% velocity gains. Here's what engineering leaders need to do differently to close that gap.
A step-by-step guide to implementing AI in your business, written for non-technical founders and operators, not developers.
A comparison of top AI code review tools for engineering teams. Evaluation criteria, tool breakdowns, and adoption advice for CTOs and engineering leaders.
