A wave of recent product updates suggests the competition among AI coding tools is moving beyond autocomplete and chat toward long-running agents that can understand projects, invoke tools, and carry ...
Most organizations know they need to govern agentic output. Far fewer have a clear, practical path to doing so. Today, Sonar, a global leader in AI code verification, governance, and efficiency is ...
Lemon.io's 2026 rate report, based on real contracts with 2,500+ vetted developers, shows that senior software developer rates have been increasing since 2024, directly contradicting the widely held ...
Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...
AI will soon be running large parts of our lives, autonomously and sometimes without human guidance or ownership. How do we ...
Spread the love“`html In a competitive job market, especially in the tech industry, having a standout resume is crucial. With hiring processes becoming more stringent, tech job seekers must leverage ...
As AI makes code easier to produce, the strongest engineering leaders are teaching teams to protect the codebase from unnecessary complexity.
Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.
AI-native development is changing how engineering teams create value. Here's why traditional productivity frameworks are no ...
The discourse around AI often focuses on those who entirely embrace — or deeply despise — the tech. For engineers, the truth ...
Report do def user_age_to_string(user) do Integer.to_string(user.age) end end # An anderer Stelle im Projekt: Report.user_age_to_string(%{age: "42"}) Integer.to_string/1 is Elixir's usual notation for ...