Studying in Computer science & engineering🔥 | Front-End Engineer | Graphics Designer | Mentor | Programmer | Traveller | I love Patterns‌ & Algorithm’s ⚡

Bursa, Türkiye
Joined October 2020
Khalid Hossain retweeted
US forces have bombed somewhere every year since 2001. Al Jazeera's AJ Labs maps the so-called “war on terror”.
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Khalid Hossain retweeted
10 GitHub repos with 1,8M+ combined stars ⭐ that replace tools costing $30,000+/year 1. awesome ⭐495k - the list of every other list. Whatever you're looking for, it's here. github.com/sindresorhus/awes… 2. public-apis ⭐456k - 1,400+ free APIs across 50 categories. Weather, finance, images, games, all documented. github.com/public-apis/publi… 3. scrapling ⭐73.6k - undetectable web scraping with built-in Cloudflare bypass. Skip the $300/mo scraping API. github.com/D4Vinci/Scrapling 4. free-for-dev ⭐132k - hundreds of services with permanent free tiers. No trials, no credit card. github.com/ripienaar/free-fo… 5. ollama ⭐178k - run Llama, Mistral, DeepSeek locally with one command. No API bill, no rate limits. github.com/ollama/ollama 6. langflow ⭐153k - visual builder for AI agents and RAG pipelines. Drag, drop, deploy as API or MCP server. github.com/langflow-ai/langf… 7. awesome-mcp-servers ⭐92k - thousands of MCP servers connecting your agent to browsers, databases, anything. github.com/punkpeye/awesome-… 8. open-design ⭐85k - open-source Claude Design alternative. Your coding agent becomes the design engine. github.com/nexu-io/open-desi… 9. awesome-llm-apps ⭐132k - 100+ ready AI agents and RAG apps with full code. github.com/Shubhamsaboo/awes… 10. openhands ⭐84k - autonomous coding agent that writes, tests, and ships code. Devin costs $500/mo. This is free. github.com/All-Hands-AI/Open… Save this before you pay for another tool this list already replaces for free 👇
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Khalid Hossain retweeted
Godfather of AI: "If you sleep well tonight, you may not have understood this lecture." This 47-minute lecture is the best thing I've seen about AI in the last few months. Hinton built the neural networks behind every AI alive, then quit Google to warn us it's already ahead of us on most cognitive tasks. Despite that, most people open Claude, type one thing, close the tab and think they're using AI, but they're using maybe 10%. The people using the other 90% aren't typing prompts at all. They're running agents in parallel, wired into graphs that check their own work. Watch the lecture, then read the article on Context Engineering below.
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Khalid Hossain retweeted
Anthropic engineer just dropped a 2-hour+ workshop on Graph Engineering. "80% of our engineers are already using self-improving loops. Now everyone is building agentic graphs." 04:43 - RAG and graphs 26:30 - Nodes and edges 1:09:11 - Index agent data inside graphs 1:30:50 - The three graph layers 1:48:15 - Self-verifying Adaptive RAG 2:16:37 - What comes after agent loops Most people are still building isolated agents. Anthropic engineers are already connecting them into graphs. Loops are the old workflow. Graphs are the new one. This 2-hour workshop is worth more than most $500 agent memory courses. Bookmark and watch it before everyone catches up. Then read the full graph engineering roadmap below
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Khalid Hossain retweeted
Andrej Karpathy: “Vibe coding is incredible. But agentic engineering is the next level. 90% of my coding routine is automated by AI agents.” In this 30-minute talk, Andrej Karpathy explains how to build an AI agent workflow from scratch. Worth more than 500$ agentic engineering course on the internet. Watch it today, then read the article below.
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Khalid Hossain retweeted
Microsoft Senior AI developer just showed how they build AI agents with Claude at Microsoft. 34-minutes. free. By Microsoft team Opus 4.7 + 1,400+ pre-built MCP tools plug Claude into agent → give it tools → ship to production worth more than any $500 vibe-coding course.
Spotify's Chief Architect just showed how they ship 4,5K deployments /day with Claude at Anthropic stage 27-minutes. free. By #1 music app dev "More than 99% of our engineers use AI coding tools. Adoption took off after Opus 4.5" Worth more than any $500 vibe-coding course.
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Khalid Hossain retweeted
True
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Khalid Hossain retweeted
Introducing the registry mcp. One command to make any component registry mcp-compatible. Your Design System. Now with AI. Zero config. We've got a lot to cover. Let's get started. ⬇️
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Here is a SCAM that is specially designed for the developers, and it is scary 😱 🧵 ↓
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Incredible.
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I'm attending React Day Berlin 2024 - get your free remote ticket and join me there with 5k other engineers and 45+ great speakers gitnation.com/badges/react-d… #reactdayberlin
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With each day that passes, more lives are lost, and the humanitarian catastrophe worsens in #Gaza if the violence doesn’t stop. Sign our petition to demand a #CeasefireNOW #StandWithGaza #StandWithPalestine #StopTheGenocideInGaza amnesty.org/en/petition/dema…
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Khalid Hossain retweeted
"I could never take part in this system." Tal Mitnick, the peace activist who was jailed for refusing to serve in the Israeli military says he’s ready to go back to prison again.
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Khalid Hossain retweeted
How do companies ship code to production? The method to download the high-resolution PDF is available at the end. The diagram below illustrates the typical workflow. Step 1: The process starts with a product owner creating user stories based on requirements. Step 2: The dev team picks up the user stories from the backlog and puts them into a sprint for a two-week dev cycle. Step 3: The developers commit source code into the code repository Git. Step 4: A build is triggered in Jenkins. The source code must pass unit tests, code coverage threshold, and gates in SonarQube. Step 5: Once the build is successful, the build is stored in artifactory. Then the build is deployed into the dev environment. Step 6: There might be multiple dev teams working on different features. The features need to be tested independently, so they are deployed to QA1 and QA2. Step 7: The QA team picks up the new QA environments and performs QA testing, regression testing, and performance testing. Steps 8: Once the QA builds pass the QA team’s verification, they are deployed to the UAT environment, where the QA team, dev team, and even the product owner perform UAT testing. Step 9: If the UAT testing is successful, the builds become release candidates and will be deployed to the production environment on schedule. Here we might not want to deploy to all the users in one go to mitigate the change risks, so some techniques like feature toggle, canary deployment can be used. Step 10: SRE (Site Reliability Engineering) team is responsible for prod monitoring. They leverage a bunch of log-analyzing tools and process-tracing tools like ELK stack, Prometheus, and Skywalking. They report production issues to QA and dev teams, and teams need to fix them based on defined priority. – Subscribe to our newsletter to download the 𝐡𝐢𝐠𝐡-𝐫𝐞𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐏𝐃𝐅. After signing up, find the download link on the success page: bit.ly/bytebytegoshipcode
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Khalid Hossain retweeted
ChatGPT is Powerful Personal Assistant. But only if you write good prompts. Here are my 10 ChatGPT Prompts to help you with everything from LinkedIn Networking and Resume writing to Job Interview Preparation: [🔖 Bookmark for later]
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"Sitting is the new smoking." Yup. If you sit more than 6 hours a day, you're destroying your body and ruining your health. Here are 5 exercises to reverse the damages of sitting:
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Find your one thing and disappear for 6 months🎯 Get into Monk Mode - no porn - exercise - wake up early - no social media - no video games - schedule your days - meditate and reflect Reclaim your focus and watch your life transform.🚀
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