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10 articles tagged #Productivity.
P.01uv is a Python package manager written in Rust that handles dependencies, virtual environments, and Python version management. We've been using it across all our projects since early 2026. Here's what actually changed.
P.02The AI IDE tools everyone uses have a feature most developers set up once and never tune: custom rules. Here's how to write rules that change how the tool generates code, not just what it says it will do.
P.03How SaaS founders are using AI agents, automation hubs, and agentic workflows to run lean teams that punch above their weight. Our complete workflow with tools, costs, and real results.
P.04Explore Google's latest Workspace update with Gemini AI enhancing Docs, Sheets, Slides, and Drive, empowering users to leverage AI capabilities for more efficient productivity.
P.05EditorPickWe have been using AI tools at CODERCOPS for over two years now. The shift from 'helpful autocomplete' to 'genuine collaborator' happened gradually, then all at once. Here is what changed, what surprised us, and what we got wrong.
P.06EditorPickAfter 90 days of using Claude Code across our entire engineering team, here is what actually changed — the good, the bad, and the productivity numbers.
P.07These 5 VS Code extensions eliminated 3 separate tools from my workflow. Each one with setup tips, settings tweaks, and why it beats the alternatives.
P.08The 2025 Stack Overflow Developer Survey reveals a paradox: AI tool adoption has hit 84%, but developer trust in AI accuracy has plummeted. We analyze the findings, the tools developers actually use, and what the trust gap means.
P.09Measuring developer productivity is notoriously difficult. DORA and SPACE frameworks offer research-backed approaches, but implementation is where most teams fail.
P.10EditorPick41% of global code is now AI-generated. Senior devs report 81% productivity gains. But 63% have spent more time debugging AI code than writing it themselves. The vibe coding revolution has a fine print.