Stop spending 30 days learning Docker when you can start building today. I created an ebook to help you master Docker through 3 real-world projects. Less tutorial hell. More hands-on learning. Let me know if you need it and I’ll send you the details.

Why do most AI models default to Python when we ask them to write code without specifying a programming language? Is it because they’re trained on a lot of Python code ? If yes why python ?

Asked AI for fool-proof instructions. Got a whole building.

This is where you stop learning SRE and start thinking like an SRE. github.com/dastergon/awesome… Postmortems, papers, and talks from teams running this at real scale. A weekend here beats a month of blog posts.

Nobody talks about how switching companies makes you feel like junior again. I am feeling it now a days

How to give an AI agent safe write access: 1. Read-only by default 2. Writes go through a tool with a strict schema 3. Every write = a dry-run diff first 4. Destroys require human approval Autonomy with a seatbelt.

How a hash map gives you O(1) lookups: - Key goes through a hash function, becomes a number - Number picks a bucket (hash % size) - Same bucket twice = collision, so chain them - Lookup hashes the key again and jumps straight there No searching. Just math and a jump.

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25 system design principles every engineer should know save for later✅ 1. Client-server model 2. REST 3. RPC 4. GraphQL 5. SQL databases 6. NoSQL databases 7. Database indexing 8. Partition key 9. ACID 10. BASE 11. Database replication 12. Horizontal scaling 13. Vertical scaling 14. Consistent hashing 15. CAP theorem 16. Caching 17. CDNs 18. Load balancing 19. Polling 20. Long polling 21. WebSockets 22. SSE 23. Message queue 24. Pub/Sub 25. Rate limiting

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Hot take: you still need to understand agent-written code Here's how we ship @ColdteaAI nearly as fast but still know the entire codebase: Open-source: github.com/coldteadotai/pr-l…

Load balancing is the first thing that happens when you open any website.

I keep saying that coding is just a small part of it. Building a big platform is an infrastructure game.

Few Resources created manually in AWS, Now you want these resources to be in sync with your Terraform. How would you do that ?

Did you know? The government approved ₹4,242 crore for Infosys to build India’s income-tax portal. It went live in June 2021 and faced technical problems almost immediately. It later suffered outages during peak filing periods. For 12 consecutive quarters, it failed to meet the government’s prescribed service-level standards. Infosys has since faced contractual penalties. Yet we’re told that working 70 hours a week is the answer to productivity. Maybe the problem isn’t how many hours you work. Maybe it’s whether you’re building the right system.

How to make an endpoint idempotent : 1. Client sends an Idempotency-Key 2. Store key --> result on first call 3. Same key again --> return the stored result 4. Expire keys after 24h Retries stop being scary.

AI video is moving from “generate and hope” to actual editing. Mark the problem. Describe the change. Get the updated version. That’s a much better workflow.

How AI tokens actually works You type words. The AI reads numbers. - Your text is first split into tokens, often pieces of words, not whole words - Even the space before a word is part of its token - “fromcodetocloud" alone becomes 4 tokens - Each token maps to an ID, that number list is all the model sees

Today, we're launching Typeless for Linux. Typeless is now available on Mac, Windows, iOS, Android — and Linux. The Linux app brings the full Typeless desktop experience, with all the core features available on Mac. But this launch is about more than adding another platform. For us, every new platform is another step toward a bigger goal: making voice the default way for people to interact with computers — wherever they think, create, and work. For decades, the keyboard has been the default interface between our thoughts and computers. And we've gotten so used to it that we rarely question the friction. Thoughts come fast, messy, and nonlinear. Before you communicate them, you normally have to turn them into sentences in your head first. Then you slow everything down again to type. We built Typeless to remove both layers of friction. With Typeless, you can just think out loud. Follow your thoughts wherever they go. Change your mind halfway through. Add context later. Repeat yourself. Speak imperfectly. Typeless turns that messy stream of thought into clear, polished writing in real time. It removes filler words and repetition, structures your ideas, adapts to your writing style, understands your personal vocabulary, and gives you writing that fits the app you're working in. You can: • Dictate — turn messy thoughts into clear writing, 4x faster than typing • Translate — speak in your language and write naturally in another • Ask anything — use your voice to write from scratch, or select text to edit it, ask questions, and take actions • Build your dictionary — names, acronyms, and specialized terms get recognized correctly • Personalize your style — Typeless learns how you write and adapts to where you're writing • Speak 100+ languages — including naturally mixing languages while you talk And it's private by design. Linux users tend to be some of the people who spend the most time interacting deeply with computers. Developers. Engineers. Researchers. Builders. They should be able to use voice as naturally on Linux as anywhere else. Our long-term belief is simple: Voice will become the default way people interact with computers. Not because speaking is merely faster than typing. But because voice gives us a way to communicate with computers much closer to the speed and form in which thoughts actually happen. To us, that's what real freedom in computing looks like: expressing what you mean without adapting how you think. And for that future to happen, it can't belong to one device, one operating system, or one workflow. It has to be available wherever you work. Linux. Mac. Windows. iOS. Android. One interface, wherever you work. Typeless for Linux is here.

Senior Devs: Use the Git CLI, you get full control over the tree and you won't make mistakes Junior Devs: Use a Git GUI, it's safer and you can actually see your branches Me: deleting the entire local repository and re-cloning it because got one merge conflict: