Steal this AI coding workflow 👇 https://t.co/Qc7x01MrEg

The paradigm shift. You're leveraging your strategic thinking. AI is leveraging its ability to execute.

https://t.co/A76Wikd7TM

If this hit home, Like this thread to boost its reach. Share it with a founder fighting the same battle. And if you're ready to actually solve these problems instead of just putting out fires, DM me "SCALED". Let's talk about building a truly robust app.

Founders get caught thinking "more users = more revenue = problem solved." Wrong. More users on an unscalable no-code/AI backend means slower load times, dropped sessions, and angry customers. Revenue without performance is just a bigger headache.

Audit workflows ruthlessly. Every workflow step adds latency. Can you combine steps? Eliminate redundant checks? Minimize API calls inside loops. Speed is cash.

Optimize media & assets - Compress images - Use modern formats (WebP) - Serve videos from CDNs. Heavy media kills load times faster than anything.

Implement cache: For static or infrequently changing data, use external caching services or your platform's built-in caching. Why re-fetch what hasn't changed?

Heavy logic - off the platform. Move complex calculations, long workflows, or intense data processing OFF your no-code platform. Use webhooks to trigger external serverless functions (think AWS Lambda, Firebase Functions). Keep your no-code app lean.

DB. Clean your data. Index frequently searched fields. Avoid 'all records' pulls. Learn some SQL ffs. Treat your database like a vault, not a junk drawer.

Your vibe coded app will hit a performance ceiling. It's not a question of IF, but WHEN. That project vibed over the weekend can quickly become a bottleneck as users scale. It's inevitable. Here are 5 simple strategies to DELAY and MINIMIZE the damage 👇

You'll get the best feedback from your users. But what if you don’t have any? (or you’re too scared to talk to them)? > Record a screencast of your app > Upload it to Gemini 2.5 (via AI Studio) > Add a prompt: “act as an unhinged user, explain what you see in the app and

When I start working on a new feature... > fire up my assistant (Claude, in my case) > prompt: “act as an event storming coach (...) ask me questions (...) create a process map in Mermaid” > discuss, iterate > you get a process map - it goes into docs and provides context for

Building https://t.co/Q2vfohkczU day 37. User acquisition path (experiment): - I’m promoting the "roast your reel" page - user gets a few metrics and basic analysis - "want more? Create an account!" After creating an account, all metrics are visible + the ability to add your

LLMs have STRONG confirmation bias. When asked "is this good?" they start looking for reasons why something IS GOOD. But if you ask... "Find ALL problems in this code. Be RUTHLESS." Suddenly the same model, in the same conversation, will spit out a list of 15 potential bugs,

Side Project Lifecycle: Day 1 - This will be the next Facebook! 👉 Just finished your fifth rewatch of The Social Network. 👉 Buy a domain (so cool, so cheap!) 👉 Plan to quit your job 👉 Check how to set up a company in Cyprus Excitement lvl 10^6. Day 7 - "Maybe I should do

A data science agent popped up in Google Colab. 👉 Upload your CSV 👉 Agent reads the file 👉 Explores data 👉 Conducts analysis 👉 Creates reports with charts All within Jupyter Notebook—view and tweak every step. Accelerated video: March Stripe data analysis took about 3

thank you for nothing

Coding with @cursor_ai feels like magic.

Signs You're Writing "Smart" Code 👉 You can't explain it simply to a colleague 👉 It requires extensive comments to understand 👉 You're using advanced language features unnecessarily 👉 You're solving problems you don't have yet What else?