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21 articles tagged #Productivity.
P.01Manually compiling monthly reports is one of the highest-effort, lowest-value activities in a web agency. Here's how to replace most of that work with automated pipelines.
P.02Command-line tools are underrated as developer products. TypeScript makes them maintainable. Here's the full picture: argument parsing, interactive prompts, output formatting, and distribution.
P.03Standardized commit messages unlock automatic changelogs, version bumps, and release notes. Here's the full setup — from writing commits to shipping releases without manual steps.
P.04AI projects flood every portfolio. Here's what actually distinguishes a developer's work from the crowd — and why the way you document your decisions matters more than the tech stack you picked.
P.05Most agencies finish a project, invoice the client, and move immediately to the next one. The ones that improve fastest do one more thing: they sit down and ask what actually happened.
P.06The command line tools most developers use today are a decade old. Here's what's replaced them and why: terminals, Git UIs, shell configuration, and the small tools that compound into significant time savings.
P.07Every agency hits the same wall: more work than the team can handle, but not enough volume to justify a full-time hire. White-label partnerships are how the ones that survive it manage growth.
P.08Bad documentation is usually not a writing problem — it's a maintenance problem. AI tools are changing the equation by making initial doc generation cheap and doc refresh practical at scale.
P.09Burnout among developers isn't new. But the specific pressures of 2026 — AI-driven productivity expectations, skills anxiety, and the blurring of output and identity — create a different texture of exhaustion.
P.10CodeRabbit, GitHub Copilot code review, and similar tools have changed the first-pass review. Here's what they actually catch, where they fail, and the workflow that combines both effectively.
P.11Biome is a Rust-based JavaScript toolchain that handles linting, formatting, and imports in a single binary. We've been running it in production projects since late 2025. Here's what the migration from ESLint and Prettier actually looks like.
P.12uv 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.13The 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.14How 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.15Explore 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.16EditorPickWe 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.17EditorPickAfter 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.18These 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.19The 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.20Measuring developer productivity is notoriously difficult. DORA and SPACE frameworks offer research-backed approaches, but implementation is where most teams fail.
P.21EditorPick41% 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.