The Productivity Mirage
Developers trade stories about “productivity theater”: spending countless hours perfecting editors, AI agent harnesses, note systems, and tickets instead of solving meaningful problems. Many argue that the biggest performance gains come from choosing impactful work, thinking deeply, and mastering a simple, stable toolchain—often illustrated by remarkably productive engineers using plain text editors or outdated software. Others note that some tooling and AI can offer real speedups, but only when they reduce friction and quickly fade into the background rather than becoming a hobby in themselves.
Tooling Obsession vs Real Work
- Many see elaborate editor setups, AI “harnesses,” and productivity systems as a form of procrastination or “productivity theatre.”
- Analogies: car modding, camera/lens collecting, expensive bikes and mountaineering gear—fun hobbies that don’t automatically improve results.
- Several stories highlight people spending months tweaking tools, note systems, and revision plans instead of actually building or learning.
Thinking, Problem Choice, and Output
- Repeated theme: the hard part is choosing impactful problems and deeply understanding domains, not typing faster.
- High performers described in the thread often use plain tools (simple editors, old IDEs, Notepad, Photoshop CS6) yet ship major features or solve hard problems quickly.
- Some argue 90% of time should be thinking/reading; others say thinking happens while coding or while away from the computer (walking, chores).
Good Tools as Enablers, Not Goals
- Many defend modest, stable customization: comfortable editor, small scripts, sane defaults that remove friction and then disappear into the background.
- Emphasis on “editor fluency” and low mental friction, not endless tweaking.
- Distinction between one‑time setup with long-term payoff vs constantly changing configs that become a parallel infrastructure project.
AI and “New” Productivity Hacks
- Some report large, measured gains from AI tools (e.g., big increases in PRs per developer).
- Others complain about “AI everywhere” discourse and argue over-complicated agent setups and prompt files are just the latest form of yak shaving.
- Mixed views: AI can lower activation energy and let people ship things they never would have, but can also erode understanding and become another distraction.
Culture, Incentives, and Status
- Comments link productivity theatre to environments that reward visible busyness, tooling ownership, or Notion/Jira maintenance over outcomes.
- VC-backed startups are criticized for optimizing appearances over real, profitable products; contrasted with game studios that must ship.
- Senior engineers are often described as conservative about tools and more focused on environment, focus, and clear outcomes than on “cool” setups.