“So at IBM it was I think Vim. Like I didn't have an IDE that we used.”
Vim
By Bram Moolenaar
2 recommend/use · 3 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“That meant VS Code, Jet Brains, Eclipse, Visual Studio, Vim, Emacs.”
“this is like Vim emac this is nerd bait this goes deep”
Related frameworks
Agency Over Title: The Force-Multiplier Mindset
Ignore role boundaries — use AI tools to execute your own ideas end to end
Bad vs Sad Quality Tiers
Classify every failure as bad (irrecoverable) or sad (recoverable pain) so teams triage quality across many surfaces.
Build Only Where You Can Be Best (Model Sourcing)
Build in-house only where your unique data or position lets you beat the frontier; otherwise buy
Cannibalize Your Own Product Every 6-12 Months
Make your current product look silly on a fixed cadence instead of only shipping what users ask for
Communication Is The Job
Impact happens only through artifacts and words — so map the mental model before you speak.
Fear-to-Agency Reframe
When AI change triggers fear, lean in and ask what's within your control — turn it happening to you into happening for you.
High Agency, High Accountability
Pair the freedom to solve problems your own way with clear ownership of the hypothesis and the outcome.
Hills-and-Valleys: Getting Value From Probabilistic AI Tools
Be patient and explicit, start small, and learn where the model is strong vs weak
Identity Threat to Curiosity
Your worst behaviour comes from identity threat — turn the clench into 'fascinating, tell me more'.
Irrationally Optimistic, Uncompromisingly Realistic
Push hard toward a future you believe in while killing your own hypotheses as data arrives
Just-in-Time Planning
Shrink long roadmaps to a lightweight monthly priority list and grant explicit permission to kill dead processes.
Latent Demand Mining
Watch for people jumping through hoops to make your product do something, then make that the smooth path.
Leader Dogfooding for Product Pulse
Live and breathe your product as a real user (or meet customers) and trust the anecdote over the dashboard.
Leverage Your Leaders
Stop proving you can do it alone — make it cheap for your manager to unblock you.
Manager-as-IC Onboarding
New managers ship as individual contributors first — and keep doing it — before and while they manage people.
Manager Visibility via an Always-On Agent
Enlist a standing AI session across all repos and channels to stay on top of 8x throughput and drive conversations.
Output-Toward-Outcome Measurement
Don't forsake motion for progress — keep asking whether the metric you climb still serves the outcome.
Reading Your Own Critics
Read every criticism carefully, believe none of it blindly — you know more than the critics do.
Spec-as-What-Good-Looks-Like Verification
Check your definition of good into the repo so AI code review can automatically validate work against it.
Stated vs Revealed Preferences: Holding Conviction Through User Outrage
When users scream and keep refreshing, believe the behaviour — then debug details, not vision.
The Dehydrated Company Hiring Model
Only hire when a function is underwater, so headcount forces ruthless prioritization
The Eye of Sauron: Calibrating Leader Depth
Go pixel-deep only on what hinges success — and tell people exactly where their space begins.
The Forge and the Dam
Two career positions compound: the company's hottest fire, or the critical thing nobody watches.
The Six-Month Passion Test
Don't trust your identity about what you'll love — give the unfamiliar job six months, then judge.
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