People might not believe this, but I recently broke up with my gf just to use AI agents lol
We were even talking about getting married.
For months, I was extremely busy staying up all night setting up local AI and agent harnesses from scratch.
She kept complaining that I wasn't paying attention to her.
In the end, she told me to choose between her and AI, and I didn't give up on AI.
No regrets, though.
If I hadn't focused back then, I would have fallen behind in learning AI.
I built a trading bot with Claude that made +$168,236.
It's a complete cheat code, and the entire strategy was built using Fable 5.
No dev experience required.
Here's exactly how to build & backtest profitable trading strategies using AI (nfa):
Step 1. Extract your strategy rules
Start with any trading strategy you want to test, and drop this prompt into Fable 5:
"Take the classic [strategy name] and turn it into a fully objective rule set on the [insert timeframe].
Give me: exact entry rule, exact exit rule, stop logic, and position sizing.
No discretion - every rule must be computable."
This could be an RSI strategy, EMA strategy, etc.
The goal here is to get a clean set of rules you can actually backtest.
Step 2. Convert to Pine Script
Once you have your rules, paste this follow-up:
"Now write this as TradingView Pine Script v6 strategy code.
Include a 0.1% commission per side, and code ready to paste into the Pine Editor.
Copy the entire code block it gives you.
Step 3. Import into TradingView
Open TradingView → Pine Editor → New Script. Paste the code and click Add to Chart.
You'll instantly see every historical entry, exit, win, loss, and drawdown.
If you hit errors, screenshot them, paste back into Fable, ask for a fix.
Step 4. Refine the strategy
This is where the real alpha lives.
Download the CSV file from your TradingView backtest results. Import it back into Fable and prompt:
"Analyse this trade history and tell me exactly how to improve this strategy."
Fable will identify patterns in your losing trades, suggest rule adjustments, and help you rebuild a stronger version.
Step 5. Automate it
Connect Claude Code to your exchange via its MCP server. Generate an API key from your exchange and hand it to your agent.
Now the loop closes: Fable backtests the strategy, you validate the results, and the system watches the market and executes automatically whenever your conditions are met.
Don't want full automation? You can just set it up to flag you whenever a trade opportunity meets your parameters.
Everything you need to master in 2026 to get rich:
• Fable 5 for planning
• Codex for execution
• Claude Code + OpenClaw workflows
• Hermes Agent
• Loop engineering (/goal, /loop)
• Context engineering
• Running local models
• Building MCP servers
• Karpathy's Autoresearch
• Building an X audience
• Creating short-form videos
• AI agent swarms
• How machine learning actually works
• How databases work (Convex, Postgres, etc.)
• APIs & integrations
• Training your own LoRAs
• Automation with n8n
• Learning to sell
• Eliminating doom scrolling
Most importantly:
Focus.
The people who win won't be the ones using every AI tool.
They'll be the ones mastering a few and shipping relentlessly.
@omgsidewalks The system is created on cheating, on elite power, on paper wealth $, air power creation , wealth is given to select few people whoever the elites want. Now come support my site https://t.co/EqpwrfKW9p and buy me 9 dollars. I need $ for coffee. Thank u
@omgsidewalks Millionaire, super Millionaire with 100 of million will collapse. Super billionaire with 500b will survive on government contract revenue created by paper $$ . They dont need u to buy their cars. Government contract, ipo banker value give them 1000x wealth
Holy sh*t, developers are going to lose their minds over this.
Someone just open sourced a repo that gives you 800M free tokens a month across every major LLM.
GPT-4. Claude. Gemini. Llama. Mistral. All of them. Free. Right now.
It's called freellmapi and here's why it changes everything:
→ 800 million free tokens a month — no credit card, no API key
→ Every major model in one place — GPT-4, Claude 3, Gemini Ultra, Llama 3, Mistral
→ Open source, MIT license, drop-in replacement for paid API calls
→ Works with any existing codebase — swap your endpoint, keep your code
→ No usage dashboard, no overage warnings, no surprise billing
Most indie developers spend more on API costs than they earn from their product.
This repo just made that problem disappear.
AI companies have been charging a fortune while this existed.
100% open source. MIT license. 2K+ stars and climbing.
repo: https://t.co/7yTDGP6LmR
(Bookmark this before your next API bill arrives)
vibe coders are building
SaaS products
AI wrappers
landing pages
mobile apps
nobody is vibe coding
a kernel
a compiler
a game engine
a rendering pipeline
an operating system
why do you think that is ?
If someone still thinks that Local AI is unnecessary at this moment,
They are never going to make it.
There will be no hardware available for late people.
Vibe coders are getting sued.
People are shipping apps with real users and skipping the boring stuff that kills them.
A 20+ year dev shared the pre-launch checklist every AI builder needs.
I added what I learned after shipping 60+ apps at the agency.
Don't skip this:
1. Protect yourself, not just your app. The moment you collect user data you're in legal territory (GDPR, CCPA). Have a privacy policy. Know where user data lives.
2. Row Level Security. Without RLS, anyone can open DevTools and read your entire database. Supabase → Auth → Policies. Zero policies means your app is naked. 5 min to fix.
3. Test the failure path, not just the happy path. Wrong password 5x. Reset for an email that doesn't exist. Verification link clicked twice. Signup with an existing email. Catches 80% of auth bugs.
4. Security baseline in 2 min. Prompt your AI: "Review my app as a security specialist and make sure I have strong security headers and a solid baseline security posture."
5. OWASP. Prompt: "Review my app against OWASP standards and highlight vulnerabilities." This is where SQL injection, XSS and auth bugs actually get caught.
6. Client-side validation is UX, not security. Attackers disable JS and hit your API directly. Validate again on the server. Every time.
7. AI code leaks data in 3 spots: .env values in the frontend, API responses returning too much, secrets in logs. Prompt: "Check my app for credential or sensitive data leaks in frontend or API routes."
8. API keys in the frontend means game over. If it's in the browser, assume it's already taken. Move it server-side or proxy it.
9. Rate limits before someone burns your API bill. Cap every endpoint hitting a paid API. I've watched a Supabase bill jump from $20 to $200 in a day.
10. CAPTCHA on public forms (Cloudflare Turnstile is free) plus CORS locked to your domain. 10 min, kills bot floods.
11. Error messages that don't leak. "User not found", not "SELECT * FROM users failed". Log full errors server-side, show users generic messages.
Build fast. Just don't ship naked.
(full breakdown in my article below)
@MKDev05@Jeyffre@the_crazydev Vibe coding are the new god. We watch porn while vibe coding. You just jealous, you gotta remember all your code in 2000. I look at the code and I know wtf is that already. No need to remember. Watching porn, masterbating , sex threesome and watching stripe account incoming
Uber had a $500M Anthropic bill in a single month.
Mine was over $1M.
So I rented GPUs and now use open-source models.
100x cheaper.
The future of AI is Open-source.
Real estate video tours:
❌ Old way:
- Hire a videographer
- $200-$500 per property
- Wait 3-5 days
- Schedule around their availability
✅ New way:
- Upload a photo
- AI generates the video
- $5 per video
- Ready in minutes
https://t.co/EqpwrfKW9p
Linus Torvalds, who built Linux, says AI is a 10x boost.
Compilers were 1000x.
The gap is the whole point.
AI doesn't level the field.
It exposes who actually understands the system.
Vibe coders ship garbage that won't maintain.
The good engineers just got faster.
The bad ones just got found.
I thought vibe coding was limited to web development.
Then I realized:
It's often the vibe coders who are limited.
Ask them about software outside the Next.js + Vercel + Supabase stack... and the conversation gets very quiet.
If you're a vibe coder, don't be afraid to explore:
- Mobile apps
- Desktop applications
- Systems programming
- Custom software
- Game development
There's a huge world beyond web development.
Good luck.