Ahmed Dauda

Quick ways to resolve your Python/Django development issues in heroku like pro.. Check it out! codethinkers.org/blog/quick-way… #codingforkids  #webdev #frontend #DataAnalytics #MachineLearning #BigData #DataScience #Python #DataScientist #WomenWhoCode, #Django #100DaysofCode

Rust + Tokio → Backend Engineer Rust + Actix → API Engineer Rust + Axum → Systems Backend Engineer Rust + Diesel → Database Engineer Rust + SQLx → Async Backend Engineer Rust + WebAssembly → Web Performance Engineer Rust + Yew → Frontend/WASM Engineer Rust + Tauri → Desktop App Developer Rust + egui → Native UI Engineer Rust + Bevy → Game Developer Rust + wgpu → Graphics Engineer Rust + Embedded Rust → Embedded Systems Engineer Rust + Linux Kernel → Systems Programmer one language…multiple elite engineering paths 🫡

@callmidavid hetzner

Need a free VPS for side projects, any recommendations 🥹?

Investing in knowledge is the greatest investment; always learn, unlearn, and relearn.

@_HerDAO @Onallee @Hari_priyoo @IronClawAI @NEARDevHub @NEARProtocol @HERDAOIndia @HERDAO_Kenya @herdaobali @HerDao_Mexico @herdaovzla link to apply

Great news → Rust School Cohort 02 scholarships will be open soon! Apply in the first 24 hours → get automatic acceptance Not so great news → Cohort 01 scholarships are now closed Thank you to the 1500+ people who applied - it was amazing to see the response!

Rust School - Cohort 01 starts tomorrow. → 700+ builders selected → 100+ mentors onboarded → 1 shared goal: mastering Rust and building what’s next For some, it will be the moment that changes everything. New skills. New networks. New opportunities that didn’t exist before. Rust isn’t just growing - it’s becoming one of the most in-demand languages across systems, infrastructure, and Web3. The builders who learn it now will be ahead. This is day one for Cohort 01. But it’s just the beginning of something much bigger…

Vercel charges $20/seat/month. Netlify charges $20/month. Heroku killed its free tier entirely. And if you go over your bandwidth? Surprise bills. Sometimes thousands of dollars. There is an open-source alternative to all three. For $0. It is called Coolify. 53,000+ stars on GitHub. You install it on any server you own. A $5 VPS. A Raspberry Pi. An old laptop. Anything with SSH. Then you deploy everything: - Static sites - Full-stack apps - Databases - APIs - 280+ one-click services (WordPress, Ghost, Plausible, n8n, Supabase, and more) Here's the wildest part: It does things the paid platforms charge extra for. - Free SSL certificates, auto-renewed - Automatic database backups to S3 - Pull request preview deployments - Real-time server terminal in your browser - Push-to-deploy from GitHub, GitLab, Bitbucket - Server monitoring with Discord/Telegram/email alerts No vendor lock-in. All your configs live on your server. If you stop using Coolify, everything still runs. The $20/month you pay Vercel? That is per seat. A 5-person team pays $100-500/month depending on usage. With Coolify on a $5 Hetzner VPS, that same team pays $5/month. Total. Apache-2.0 licensed. Self-hosted. Free forever. 100% Open Source. (Link in the comments)

Rust Roadmap for Backend Engineers, Who Want to Ship Fast: 1. Master the Basics : Ownership, borrowing, lifetimes, mutability & Cargo 2. Understand Rust’s Real Power : Structs, Enums, Traits, Generics & Pattern Matching 3. Error Handling Done Right : Result, ? operator, thiserror & anyhow 4. Modules, Crates & Project Structure : Clean architecture from day one 5. Async Rust : tokio, async/await and why it’s the future 6. Build CLI Tools : Use clap, make something actually useful 7. Work with Data : Serde, JSON, YAML, files & HTTP clients 8. Build REST APIs : Axum or Actix-Web + proper middleware & validation 9. Advanced Concurrency : Channels, tokio tasks, parallelism & rate limiting 10. Database Layer : SQLx (async) + PostgreSQL + connection pooling 11. Testing & Quality : Unit tests, integration tests, benchmarks & property-based testing 12. Production Ready : Docker, tracing, logging, graceful shutdown, observability & config Bonus Steps: - Read source code of popular crates (tokio, axum, sqlx) - Build 3 real projects (Auth service, Background worker, API scraper) Stop just “learning Rust” Follow this → become → production dangerous Save it. Follow it. Ship it. Who’s starting this Rust journey in 2026?

@dannyclassi_c @grok summarize it

Deployed my CI/CD engine to a VPS tonight and I finally understand why developers need one. I tried Render first. Free Postgres expires in 90 days. Can't run Docker inside their containers. The whole point of my project is spawning Docker containers to build code and the hosting platform won't let me run Docker. That's like building a car and being told the parking lot doesn't allow engines. So I got a Hetzner VPS. $5.59/month. SSH'd in, installed Node, Docker, Postgres, everything I needed. No restrictions. No "upgrade to pro for this feature." My server, my rules. Went from zero VPS experience to a fully deployed backend with Postgres in Docker, PM2 keeping the process alive, and GitHub OAuth working from a cloud server in Helsinki. The backend roadmap says "learn cloud infrastructure." I just did — because my project demanded it. Day 49.

All the more reason to double down on learning Rust!

@Kashish__Kumar_ @elonmusk @mfranz_on @grok is this true

@elonmusk @mfranz_on It’s great. I hope there was more training data on it for ai models to be better at it.

Python is something special and Rust was not mentioned, only C and C++. Perfect.

try public APIs for free - just found out there’s a GitHub repo where you can find legit 1000s of free API endpoints. not even kidding 😭 one link, endless APIs (infinite side projects 👀) github.com/public-apis/pu…

🦀 Building an LLM from scratch in Rust - Part 4 is where the model actually learns. No autograd magic: you hand-roll backprop through linear layers, attention, layer norm, MLP. Watching it go from pure noise to Shakespeare. tag1.com/how-to/part4-t… #rust #rustlang #LLM #gpt

@r0ktech heroku

What hosting platform do you make use of ? 1. Vercel 2. Netlify 3. Render 4. Heroku others specify.

Fun fact: OpenAI handles 800 million users on ChatGPT with just one PostgreSQL primary and 50 read replicas 🤯 Today, OpenAI published an engineering blog explaining how they scaled their Postgres setup to support a massive 800 million users using a single primary and 50 multi-region replicas. They dive into details around their scaling approach, the PgBouncer proxy, cache locking, and cascading read replicas. It is genuinely neat and impressive. I just published a video on my YouTube channel where I dissect the blog and break down the nuances. Give it a watch - it is short and fun.

Introducing the Raspberry Pi AI HAT+ 2, priced at $130. This add-on board for Raspberry Pi 5, powered by the Hailo-10H AI accelerator and 8GB of on-board RAM, is built to run LLMs and VLMs locally, without cloud or network dependencies. The Raspberry Pi AI HAT+ 2 delivers 40 TOPS of generative AI performance and integrates directly with Raspberry Pi OS, including native support in rpicam-apps. raspberrypi.com/news/introduci…

@thatrtx @gdb @grok @grok do u mean is the best in building AI agents? give me examples

@gdb @grok what you think of this as there is a bit of debate regarding “working code” vs “correct code”

rust is a perfect language for agents, given that if it compiles it's ~correct

@KayanoJackal @r0ktech currently learning axum

@r0ktech Absolutely Actix-web. But Axum is more popular, so maybe I will use it in future

what framework are you using for backend currently ?

@chiefxmeta @r0ktech same, let build together