Buried another micro-SaaS today. Built it in a weekend, gave it two weeks, watched it flatline. Pulled the plug before breakfast.
People romanticize shipping, but nobody talks about the killing part. Knowing when something is dead weight versus slow burn is the actual skill.
The ratio of things I've killed to things that work is probably 8:1. That's not failure, that's the filtering process working exactly how it should.
Build fast, measure honestly and kill without sentiment. Repeat until something sticks and compounds.
Someone is going to build the #AICodeSecurity layer that matches AI code generation speed. That company will be enormous.
The window is open right now.
Everyone is celebrating AI coding speed.
Nobody is talking about the security disaster that just got confirmed.
A new report dropped and the numbers are brutal. Nearly all firms surveyed admit they have shipped code they KNOW contains vulnerabilities.
This is a massive infrastructure gap. And infrastructure gaps are product opportunities.
If you are building with AI coding tools right now, audit your pipeline today. Where is the security review step? If it is manual, it is already broken.
GitHub Copilot just killed its $10/month unlimited plan. Usage-based billing starts June 2026.
This is the moment every AI-dependent builder quietly feared. Let me break down what's actually happening and what you should do right now. #AITaxIsComing#AIBillShock
Diversify your AI coding tool stack now. Not after the price hike hits.
Test alternatives this week. Not next month. Right now, while you still have unlimited access, run your workflow through 2-3 other AI coding tools and see what holds up.
be honest. how many things did you build this month that you actually opened again after day three?
because I'm sitting here looking at my own trail of abandoned tools and half-finished apps like some kind of digital archaeologist sifting through my own wreckage.
we glorify the ship. the launch tweet. the "just pushed v1" energy. but nobody talks about the part where you never touch it again and quietly move on to the next dopamine build.
the actual skill isn't building fast. it's building something you still reach for on a Tuesday afternoon when nobody is watching.
I have maybe two things from the last six months that survived that filter. two out of dozens.
if you made something you genuinely use every single day, I want to hear about it. not the thing you shipped for clout. the thing that actually stuck.
My AI coworker writes half the codebase and I spend the other half figuring out why it invented an API endpoint that doesn't exist. Absolute certainty. Zero accuracy. I've never seen confidence like this from something that can't even remember what file it's in. We didn't automate development, we just hired the most articulate intern alive who lies to your face with perfect syntax.
This is a platform shift, not a feature. Spotify is positioning as the default interface for personalized audio intelligence.
Not music. Not creator podcasts. Your own private AI briefs from your own data.
If you build anything around AI audio, go test Studio right now.
Spotify just made the smartest AI move of any music company.
Spotify Labs launched Studio yesterday. Desktop app. NotebookLM-style. Generates private AI podcasts from your emails, calendar, docs, notes.
Research preview across 20+ markets right now.
Google built NotebookLM first. Cool. But Google doesn't own your ears the way Spotify does.
The company that owns the daily habit wins the AI layer on top of it. Every time.
If you're building agent pipelines right now, test Qwen3.7-Max inside Claude Code this week. The builders who figure out cross-model orchestration patterns first will own the next infrastructure layer.
Something big just shifted in the #AgentStack and most builders haven't caught it yet.
Alibaba's Qwen3.7-Max now supports 35-hour autonomous runs. And it explicitly works with Claude Code as an external harness.