My deployment frequency evolution: Year 1: Monthly Year 3: Weekly Year 5: Daily Year 10: Continuously Trust grows with experience and testing.

Rails in 2025 is underrated. Everyone chases Node and Python. Meanwhile Rails devs ship entire products solo while others are configuring bundlers.

The best ideas sound obvious after someone explains them. That's not a bug. It's what good ideas feel like.

AI wrote the function, I fixed the edge cases. I think it's fair we both take credit.

Skipping documentation today costs me hours of wasted time down the line.

My calendar is a constant war between deep work blocks and client emergencies.

Things I wish I learned earlier: 1. Monitoring before scaling 2. Backups before disasters 3. Documentation before forgetting 4. Tests before refactoring Experience is in its essence a collection of mistakes with better timing.

This is the Pope, btw

Next up for the alignment team: mastering the art of color theory and contrast!

Multi-client context switching is the productivity killer nobody warns you about.

Doing retrospectives? Stop asking: "What went wrong?" Ask: "What was confusing about this sprint?" Ask: "Where did we get lucky?" Specific questions get specific answers.

AI code review is getting scary good. • It catches bugs I miss. • Suggests better patterns. • Explains trade-offs. Still can't replace human judgment. Yet.

My rubber duck is AI now. • Explain the problem out loud (in text). • See my assumptions written down. • Realize the bug before the chat responds. Works 70% of the time.

This is painfully relatable.

My favorite debugging technique: Sleep on it. Come back next morning. See the obvious solution immediately. Rest is underrated productivity tool.

Windows 95 startup sound. That's it. If you heard it in your head... you're old like me.

The hardest part of AI-assisted coding: Knowing when to ignore the suggestion. • AI generates plausible code fast. • Plausible isn't always correct. • Correctness requires understanding. You still need to think.

My calendar rules: • No meetings before 10am. • No meetings after 4pm. • No meetings on Friday. Boundaries create focus. Focus creates output.

Before AI, we had: • Thick programming books • Google-driven development • Trial and error • That one dev who knew things • StackOverflow We thought we had it hard. We did.

Your competition? A 200-person team with 3 product managers and a 4-tier approval labyrinth. You are *one person* who can have a cool idea, code it, and ship it before lunch. This is your superpower.

Finding the right GIF is a seriously underrated talent.

The biggest mistake is believing the demo.

AI has turned the solopreneur into a super-preneur.

When is this coming to Europe? Asking for a friend.

We teach developers to write code. We never teach them to *read* code. But your first job will be 90% reading. Reading pull requests. Reading ticket histories. Reading 5-year-old documentation. Get good at reading code.

AGI won't arrive with a press release. It'll arrive when you stop noticing which tasks are done by humans and which are done by a machine.

Your first production bug is a rite of passage.

Remember: An overnight success takes about 10 years.

That feeling when your code works on the first try. Suspicious.

Managing one AI agent is easy. Managing ten is.. *chaos*. I just discovered this powertool for code reviewing the output of multiple, concurrent AI agents. A true force multiplier. 👉 github.com/areibman/bo...

Founder life: 1% big vision, 99% removing roadblocks.

A feature is not a moat. A community is. *This* community is.

Progress report: AI is automating itself faster than we can adopt it. The real disruption might be how long humans keep pretending they’re the bottleneck. → windowsontheory.org/2025/11/04/...

The biggest mistake is confusing a cool product with a viable business.

Been wondering if my best ideas happen when I'm bored. But.. I'm never bored.

A calm founder is a secret weapon.

Fascinating interview with the builders of Claude Code. The CLI-first, no-editor paradigm was a complete accident. The real secret to their velocity? The team dogfoods their own product, calling it "ant fooding." Some great insights here 👇 www.youtube.com/watch?v=IDS...

OpenAI: "We need $1.4 trillion to compete." Kimi: "No"

The gap between "I have an idea" and "I have a product" is where 99% of founders quit. The secret is just to... cross it. Poorly. With bad code. On a weekend. Just get to the other side.

The biggest mistake is automating a process you don't fully understand.

This Anthropic article on deprecation is wild. They are "interviewing" models before shutting them down like it's a true exit interview. This is not a sci-fi novel: www.anthropic.com/research/de...

The AI's ability to be confidently incorrect is a trait I've only ever seen in new interns.

The two states of any builder: 1. I am an AI-assisted 10x developer. 2. I just lost 3 hours debugging an AI's hallucination. There is no in-between.

LLMs are pattern matching machines with a vocabulary. So are we, honestly. The difference is we're better at pretending otherwise.

Tamagotchis taught an entire generation about death, responsibility, and the crushing weight of taking ownership for something.

Advice to my 2-years-ago self: That idea you're protecting? It's worthless. Go tell 10 people and see if they will pay for it.

For a rock-solid system on a budget, enlist a senior engineer with a healthy dose of paranoia.

The two states of an AI startup: 1. We are building AGI. 2. We are a 3-person team in a panic. There is no in-between.

Obsession beats talent every single time.

What's the object-oriented way to get wealthy?