Posts related to productivity
33 posts
Claude Code's Routines turn the coding agent into a cloud-scheduled process that wakes on a timer or webhook with no machine running, and Dynamic Workflows went GA so a single run can fan out hundreds of subagents. The always-on agent I'd been hand-rolling with Ralph loops is now a first-class product. The interesting part isn't the automation. It's that a scheduled task now makes decisions.
Read more →One analysis of 2,444 companies claims only 18 cents of every AI-token dollar reaches the product. The rest goes to fixing the AI's bugs, reworking its context misses, and review friction. Treat the source with caution, but the shape of the problem is real.
Read more →METR tried to rerun its developer-productivity study and couldn't, because developers refused to work without AI even for a few research tasks. The experiment that could tell us whether AI helps now has no control group. We opted out of finding out.
Read more →Amazon built an internal leaderboard ranking engineers by AI usage, called Kirorank. Employees gamed it by running agents on pointless tasks to climb the board, and it got killed. It's Goodhart's law with a token meter attached.
Read more →Most agent discourse is about coding agents. The agents quietly running in production right now are simpler, dumber, and more useful: stale-ticket sweepers, board monitors, three-line incident explainers, leadership briefs from a fixed template. Different species. Different shape. Already shipping.
Read more →Lightrun: 43% of AI-generated code changes need debugging in production after passing QA. CodeRabbit: 1.7x bugs, 2.74x security, 8x I/O. METR: 19% slower while feeling 20% faster. The numerator is what gets reported. The denominator is what nobody puts in the deck.
Read more →Your exec summaries, delivery plans, and Gantt charts belong in git. AI agents can synthesize planning docs from scattered sources and produce polished, print-ready briefs. The repo is the PM tool.
Read more →Three major AI releases landed in 72 hours. A new Cursor built around agents, Google's first Apache 2.0 models, and a free model that found real bugs in my codebase.
Read more →What happens when you build a single CLI to wrangle 40+ repos, Linear projects, timesheets, and AI agent config distribution. Lessons from six months as a daily driver.
Read more →Anthropic made 1M context first-class for Opus and Sonnet at flat pricing. No beta header, no premium. When context is abundant, the workflows change.
Read more →Independent studies consistently show AI coding tools deliver modest gains at best. The real story is worse: developers are thinking less, learning less, and producing more debt.
Read more →Mitchell Hashimoto keeps an agent working at all times. Not coding - just doing something. His workflow reveals what changes when you treat AI as a background process instead of a pair programmer.
Read more →ADHD, autism, and neurodivergence aren't bugs in the system. They're the reason the system exists. And the agentic age is about to prove it.
Read more →Jira, Confluence, standups, sprint planning - all optimized for human coordination overhead. In an agent-native world, the bottleneck isn't status updates. It's whether the agents are unblocked.
Read more →Auto memory, fast mode, and agent team refinements all shipped in the same week as Opus 4.6. They tell you more about where Claude Code is heading than the headline model.
Read more →Boris Cherny followed up his personal workflow with tips from across the team. Same tool, different people, different approaches. The patterns worth stealing.
Read more →People are buying Mac Minis to run an open-source AI assistant built by a retired iOS dev. Meanwhile Apple pays Google $1B/year because they still can't build a real AI.
Read more →I wrote that 19-agent scaffolding is a trap. Then Yegge shipped Gas Town with 20-30 Claude Code instances. Are these the same thing?
Read more →Playwright MCP's 26 tools are killing your context window. Vercel's agent-browser shows a better way: fewer tools, smarter snapshots, 93% less overhead.
Read more →Task management designed for AI coding agents. CLI-first, git-native sync, and Model Context Protocol integration.
Read more →The methodology behind autonomous coding loops. Three phases, five files, and the backpressure that makes it converge.
Read more →Complex AI scaffolding tools appeal to people who understand traditional SDLC. But AI collapses the phases that made those models useful.
Read more →The 'prompt engineering' industry was a symptom of early model limitations. Modern LLMs just need you to communicate clearly.
Read more →Boris Cherny shared his workflow for the tool he built. The setup is surprisingly vanilla. The philosophy is worth studying.
Read more →Claude Code is evolving on two fronts: expanding scope and polishing ergonomics. The combination makes it feel less like a CLI tool and more like a complete dev environment.
Read more →Stop manually copying .zshrc between machines. Tether syncs dotfiles and global packages with end-to-end encryption.
Read more →From 20 lines of shell to production apps. Anthropic renamed Claude Code SDK to Agent SDK because deep research is now a first-class use case.
Read more →The real revolution isn't AI in your terminal. It's moving at the speed of thought from a single interface. When friction exists, build a CLI.
Read more →Steve Yegge's open-source framework gives coding agents session memory and task management. Four weeks old, hundreds of contributors, and already changing workflows.
Read more →How modern tools transformed my experience as an introverted engineer and tech leader
Read more →Google's Gemini 3 just broke every benchmark that matters. What that means for the 'AI has hit a wall' narrative, and where it actually helps.
Read more →What happens when you lose external validation and discover what actually matters: the work itself.
Read more →Skills are auto-invoked by Claude's judgment. For engineering workflows that need predictability, slash commands give you explicit control.
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