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32 articles tagged #Productivity.
P.01Spec-driven development treats a written spec, not code, as the artifact an AI agent builds from. How Spec Kit, Kiro, and BMAD differ, and when it's worth it.
P.02METR's randomized trial found AI tools made experienced developers 19% slower, then flagged its own follow-up as unreliable. What the messy data supports.
P.03AI agents made broad, shallow knowledge cheap to fake. What's getting scarcer is the depth to know when the agent is wrong. Specializing versus generalizing.
P.04Copilot swapped Premium Request Units for AI Credits on June 1, 2026. Completions stay unlimited; chat, review, and PR summaries draw from a credit pool.
P.05A week-by-week playbook for onboarding a new software engineer. What to cover in the first month, what most teams skip, and how to measure whether it is working.
P.06Most agency owners are the bottleneck in their own business. Here's how to build systems for client work, hiring, and operations that run without you.
P.07The standard Scrum playbook was designed for product teams with stable backlogs. Agencies have different constraints: client reviews, scope negotiations, and projects that end. Here's what actually works.
P.08Cursor's rules system encodes your team's architecture, naming, and coding standards into the AI's context, so every engineer gets consistent suggestions.
P.09Git hooks enforced by Lefthook, Husky, or lint-staged can stop broken code, style violations, and type errors before they reach your CI pipeline. Here's how to build a hook setup that teams actually keep.
P.10Bruno stores API collections as plain .bru text files in your git repo, no account or cloud sync needed. Here's how it compares to Postman and why teams switch.
P.11Git worktrees give you multiple branches checked out in separate directories at once. No stashing, no context switching, no losing your place.
P.12Manually 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.13Command-line tools are underrated as developer products, and TypeScript makes them maintainable. Parsing, prompts, output, errors, and distribution.
P.14Structured commit messages unlock automatic changelogs, version bumps, and release notes. The full setup, from commitlint hooks to shipping in CI.
P.15AI 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.16Most agencies invoice and move on. The ones that improve fastest sit down and ask what actually happened. How to run a debrief that produces changes.
P.17The 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.18Every agency hits the same wall: more work than the team can handle, not enough volume for a hire. White-label partnerships are how survivors manage growth.
P.19AI makes generating and refreshing technical documentation cheap, but keeping it accurate as code changes is still a process problem, not a model one.
P.20Burnout 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.21CodeRabbit, 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.22Biome 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.23AI IDE rules files inject project-specific context into every completion. Here is how to write rules for Cursor, Windsurf, and Copilot that change generated code.
P.24uv is a Rust-written Python package manager covering dependencies, virtualenvs, and Python versions. What changed after moving eight projects onto it.
P.25How 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.26Explore 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.27EditorPickWe spent two years turning AI from autocomplete into a genuine collaborator. Here is what that human-AI transition actually looked like, and what we got wrong.
P.28EditorPickAfter 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.29These 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.30The 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.31Measuring developer productivity is notoriously difficult. DORA and SPACE frameworks offer research-backed approaches, but implementation is where most teams fail.
P.32EditorPick41% 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.