Jim Dương @nerd_ml

REA + Opus 5.5 is pure f*cking treasure ... It lets your AI agent reverse engineer any app, down to the binary. Opus 5.5 reads how a feature works, then rebuilds its own version from scratch. Send this single prompt to Opus 5.5 and reverse-engineer any paid closed-source app. Then save the article below on how the best model for REA engineering 👇

Kaiju @kaijucode

a week ago

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Redis GUI client for Windows, Mac, Linux

I've tried all (24) AI coding agents & IDEs 😵‍💫 [Cursor, Softgen, Windsurf, Wrapifai, Copilot, Lovable, Bolt, v0, Replit, MarsX, Claude, AmazonQ, Pear, Devin, Github Spark, IDX, Webdraw, Tempo, Cline, Continue, Databutton, Base44, Qodo, Aider] The Vibe Coding giga-thread:

A Go-based GUI tool that forwards Path of Exile 2 chat messages to Telegram. Monitor game chats, filter keywords, and receive instant notifications on your mobile device. #golang github.com/kittizz/poe2-w…

How to implement a Sieve cache in Go. A sieve cache is a caching mechanism designed to optimize the delivery of frequently accessed content in a highly efficient and selective manner. #golang medium.com/@mehul25/imple…

Domain Driven Design by examples. github.com/ddd-by-example…

vectordotdev / vector: A high-performance observability data pipeline. ★18310 github.com/vectordotdev/v…

✨ Introducing Interactive Chat, the next chapter of AI assistance in Project IDX. Turn conversational prompts into real actions integrated into an IDX workspace. Now available to all IDX users in preview. Learn more → goo.gle/interactive-ch…

Software Architecture Guide. By Martin Fowler. martinfowler.com/architecture/

🤯 100+ Hacking tools even Google hides from you! Explore here: github.com/th3cyb3rhub/10… If you ignored then your not a hacker 👻

1/ How do we design a 𝐜𝐡𝐚𝐭 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 like WhatsApp, Facebook Messenger or Discord? The diagram below shows a design for a simplified 1 to 1 chat application.

Load balancing algorithms you should know. Effective load balancing is crucial in system design, providing high availability and optimizing resource utilization. Let's look at how some of the most popular load balancing algorithms work. 🔹 Static Algorithms 1) Round robin It distributes requests sequentially between servers, ensuring equitable distribution. Despite its simplicity, it does not account for server load, which might be a drawback when demand changes significantly. 2) Random Implements a simple way of distributing requests regardless of server load or capability. This form of load distribution is basic, less precise, and suitable for less complicated applications. 3) IP hash Uses a consistent hashing method depending on the client's IP address to route requests. This technique is one way to ensure session persistence by consistently directing requests from the same client to the same server. 4) Weighted round robin Improves round robin by assigning requests based on server capacity, aiming to better utilize resources by allocating more requests to higher-capacity servers. This approach seeks to optimize resource use, though actual results can vary with request complexity and system conditions. 🔹 Dynamic Algorithms 5) Least connections Intelligently sends requests to the server with the fewest active connections, adapting to changing loads. This technique aims to better reflect current server utilization, potentially leading to more efficient resource consumption. 6) Least response time Targets performance by routing requests to the server with the quickest response time. By considering both current server load and performance, this technique supports faster processing, potentially reducing response times for users. While these are some of the most popular load-balancing strategies, there are other algorithms that also address specific needs and challenges. Choosing the right algorithm is very important to ensuring your application remains scalable, reliable, and efficient. ~~ Thank you to our partner Postman who keeps our content free to the community. 📣 Postman has a special online event. The CTO is discussing AI & APIs. Secure your seat before they run out (it’s free): drp.li/postman-ai-api…

𝐻𝑜𝑤 𝑁𝐴𝑇 (𝑁𝑒𝑡𝑤𝑜𝑟𝑘 𝐴𝑑𝑑𝑟𝑒𝑠𝑠 𝑇𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑖𝑜𝑛) 𝑊𝑜𝑟𝑘𝑠 🔥🔥 𝑁𝐴𝑇 𝑠𝑡𝑎𝑛𝑑𝑠 𝑓𝑜𝑟 𝑁𝑒𝑡𝑤𝑜𝑟𝑘 𝐴𝑑𝑑𝑟𝑒𝑠𝑠 𝑇𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑖𝑜𝑛. 𝐼𝑡 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑒𝑠 𝑎𝑑𝑑𝑟𝑒𝑠𝑠𝑒𝑠 𝑓𝑟𝑜𝑚 𝑝𝑟𝑖𝑣𝑎𝑡𝑒 𝐼𝑃𝑠 (𝑛𝑜𝑛-𝑟𝑜𝑢𝑡𝑎𝑏𝑙𝑒) 𝑡𝑜 𝑝𝑢𝑏𝑙𝑖𝑐 𝐼𝑃𝑠 (𝑟𝑜𝑢𝑡𝑎𝑏𝑙𝑒) 𝑎𝑛𝑑 𝑒𝑛𝑠𝑢𝑟𝑒𝑠 𝑒𝑓𝑓𝑖𝑐𝑖𝑒𝑛𝑡, 𝑠𝑒𝑐𝑢𝑟𝑒 𝑖𝑛𝑡𝑒𝑟𝑛𝑒𝑡 𝑎𝑐𝑐𝑒𝑠𝑠 𝑓𝑜𝑟 𝑑𝑒𝑣𝑖𝑐𝑒𝑠 𝑏𝑒ℎ𝑖𝑛𝑑 𝑎 𝑟𝑜𝑢𝑡𝑒𝑟. 1. 𝑃𝑟𝑖𝑣𝑎𝑡𝑒 𝑡𝑜 𝑃𝑢𝑏𝑙𝑖𝑐 𝐼𝑃 𝑇𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑖𝑜𝑛: 𝑁𝐴𝑇 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑒𝑠 𝑝𝑟𝑖𝑣𝑎𝑡𝑒 𝐼𝑃𝑠 𝑓𝑟𝑜𝑚 𝑖𝑛𝑡𝑒𝑟𝑛𝑎𝑙 𝑛𝑒𝑡𝑤𝑜𝑟𝑘𝑠 (𝑙𝑖𝑘𝑒 192.168.3.6:5733) 𝑡𝑜 𝑎 𝑝𝑢𝑏𝑙𝑖𝑐 𝐼𝑃 (200.100.10.1:5733). 𝑇ℎ𝑖𝑠 𝑐𝑜𝑛𝑣𝑒𝑟𝑠𝑖𝑜𝑛 𝑜𝑐𝑐𝑢𝑟𝑠 𝑏𝑎𝑠𝑒𝑑 𝑜𝑛 𝑎 𝑁𝐴𝑇 𝑡𝑎𝑏𝑙𝑒 𝑚𝑎𝑖𝑛𝑡𝑎𝑖𝑛𝑒𝑑 𝑏𝑦 𝑡ℎ𝑒 𝑟𝑜𝑢𝑡𝑒𝑟. 2. 𝑅𝑜𝑙𝑒 𝑜𝑓 𝑡ℎ𝑒 𝑅𝑜𝑢𝑡𝑒𝑟: 𝑇ℎ𝑒 𝑟𝑜𝑢𝑡𝑒𝑟, 𝑐𝑜𝑛𝑓𝑖𝑔𝑢𝑟𝑒𝑑 𝑤𝑖𝑡ℎ 𝑁𝐴𝑇, 𝑓𝑎𝑐𝑖𝑙𝑖𝑡𝑎𝑡𝑒𝑠 𝑐𝑜𝑚𝑚𝑢𝑛𝑖𝑐𝑎𝑡𝑖𝑜𝑛 𝑏𝑒𝑡𝑤𝑒𝑒𝑛 𝑡ℎ𝑒 𝑝𝑟𝑖𝑣𝑎𝑡𝑒 𝑛𝑒𝑡𝑤𝑜𝑟𝑘 (𝑒.𝑔., 192.168.3.0/24) 𝑎𝑛𝑑 𝑡ℎ𝑒 𝑒𝑥𝑡𝑒𝑟𝑛𝑎𝑙 𝑖𝑛𝑡𝑒𝑟𝑛𝑒𝑡. 𝐼𝑡 𝑚𝑜𝑑𝑖𝑓𝑖𝑒𝑠 𝑡ℎ𝑒 𝑠𝑜𝑢𝑟𝑐𝑒 𝐼𝑃 𝑖𝑛 𝑜𝑢𝑡𝑔𝑜𝑖𝑛𝑔 𝑝𝑎𝑐𝑘𝑒𝑡𝑠 𝑎𝑛𝑑 𝑢𝑝𝑑𝑎𝑡𝑒𝑠 𝑡ℎ𝑒𝑚 𝑤𝑖𝑡ℎ 𝑡ℎ𝑒 𝑝𝑢𝑏𝑙𝑖𝑐 𝐼𝑃 𝑎𝑠𝑠𝑖𝑔𝑛𝑒𝑑 𝑏𝑦 𝑡ℎ𝑒 𝐼𝑆𝑃. 3. 𝑃𝑟𝑒-𝑁𝐴𝑇 𝑃𝑎𝑐𝑘𝑒𝑡: 𝐵𝑒𝑓𝑜𝑟𝑒 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑖𝑜𝑛, 𝑡ℎ𝑒 𝑝𝑎𝑐𝑘𝑒𝑡 𝑡𝑟𝑎𝑣𝑒𝑙𝑖𝑛𝑔 𝑓𝑟𝑜𝑚 𝑡ℎ𝑒 𝑝𝑟𝑖𝑣𝑎𝑡𝑒 𝑛𝑒𝑡𝑤𝑜𝑟𝑘 ℎ𝑎𝑠 𝑎 𝑠𝑜𝑢𝑟𝑐𝑒 𝐼𝑃 (192.168.3.6:5733) 𝑎𝑛𝑑 𝑎 𝑑𝑒𝑠𝑡𝑖𝑛𝑎𝑡𝑖𝑜𝑛 𝐼𝑃 (𝑒.𝑔., 65.44.21.24:21, 𝑟𝑒𝑝𝑟𝑒𝑠𝑒𝑛𝑡𝑖𝑛𝑔 𝑎𝑛 𝑒𝑥𝑡𝑒𝑟𝑛𝑎𝑙 𝑠𝑒𝑟𝑣𝑒𝑟). 4. 𝑃𝑜𝑠𝑡-𝑁𝐴𝑇 𝑃𝑎𝑐𝑘𝑒𝑡: 𝐴𝑓𝑡𝑒𝑟 𝑝𝑎𝑠𝑠𝑖𝑛𝑔 𝑡ℎ𝑟𝑜𝑢𝑔ℎ 𝑁𝐴𝑇, 𝑡ℎ𝑒 𝑠𝑜𝑢𝑟𝑐𝑒 𝐼𝑃 𝑖𝑠 𝑐ℎ𝑎𝑛𝑔𝑒𝑑 𝑡𝑜 𝑡ℎ𝑒 𝑝𝑢𝑏𝑙𝑖𝑐 𝐼𝑃 𝑎𝑠𝑠𝑖𝑔𝑛𝑒𝑑 𝑏𝑦 𝑡ℎ𝑒 𝑟𝑜𝑢𝑡𝑒𝑟 (200.100.10.1:5733), 𝑤ℎ𝑖𝑙𝑒 𝑡ℎ𝑒 𝑑𝑒𝑠𝑡𝑖𝑛𝑎𝑡𝑖𝑜𝑛 𝐼𝑃 𝑟𝑒𝑚𝑎𝑖𝑛𝑠 𝑡ℎ𝑒 𝑠𝑎𝑚𝑒, 𝑒𝑛𝑎𝑏𝑙𝑖𝑛𝑔 𝑎𝑐𝑐𝑒𝑠𝑠 𝑡𝑜 𝑒𝑥𝑡𝑒𝑟𝑛𝑎𝑙 𝑟𝑒𝑠𝑜𝑢𝑟𝑐𝑒𝑠. 5. 𝑁𝐴𝑇 𝑇𝑎𝑏𝑙𝑒 𝑀𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡: 𝑁𝐴𝑇 𝑘𝑒𝑒𝑝𝑠 𝑎 𝑟𝑒𝑐𝑜𝑟𝑑 𝑜𝑓 𝑝𝑟𝑖𝑣𝑎𝑡𝑒-𝑡𝑜-𝑝𝑢𝑏𝑙𝑖𝑐 𝐼𝑃 𝑎𝑛𝑑 𝑝𝑜𝑟𝑡 𝑚𝑎𝑝𝑝𝑖𝑛𝑔𝑠 𝑖𝑛 𝑖𝑡𝑠 𝑁𝐴𝑇 𝑡𝑎𝑏𝑙𝑒. 𝐹𝑜𝑟 𝑒𝑥𝑎𝑚𝑝𝑙𝑒, 192.168.3.6:5733 𝑚𝑎𝑦 𝑏𝑒 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑒𝑑 𝑡𝑜 200.100.10.1:5733, 𝑎𝑙𝑙𝑜𝑤𝑖𝑛𝑔 𝑟𝑒𝑠𝑝𝑜𝑛𝑠𝑒 𝑝𝑎𝑐𝑘𝑒𝑡𝑠 𝑡𝑜 𝑟𝑒𝑡𝑢𝑟𝑛 𝑡𝑜 𝑡ℎ𝑒 𝑎𝑝𝑝𝑟𝑜𝑝𝑟𝑖𝑎𝑡𝑒 𝑑𝑒𝑣𝑖𝑐𝑒 𝑖𝑛 𝑡ℎ𝑒 𝑖𝑛𝑡𝑒𝑟𝑛𝑎𝑙 𝑛𝑒𝑡𝑤𝑜𝑟𝑘. 6. 𝐹𝑖𝑙𝑒 𝑆𝑒𝑟𝑣𝑒𝑟 𝐶𝑜𝑚𝑚𝑢𝑛𝑖𝑐𝑎𝑡𝑖𝑜𝑛: 𝑊ℎ𝑒𝑛 𝑎𝑛 𝑖𝑛𝑡𝑒𝑟𝑛𝑎𝑙 𝑐𝑙𝑖𝑒𝑛𝑡 𝑎𝑐𝑐𝑒𝑠𝑠𝑒𝑠 𝑎𝑛 𝑒𝑥𝑡𝑒𝑟𝑛𝑎𝑙 𝑟𝑒𝑠𝑜𝑢𝑟𝑐𝑒, 𝑠𝑢𝑐ℎ 𝑎𝑠 𝑎 𝑓𝑖𝑙𝑒 𝑠𝑒𝑟𝑣𝑒𝑟 (65.44.21.24), 𝑁𝐴𝑇 𝑒𝑛𝑠𝑢𝑟𝑒𝑠 𝑠𝑒𝑎𝑚𝑙𝑒𝑠𝑠 𝑡𝑟𝑎𝑛𝑠𝑙𝑎𝑡𝑖𝑜𝑛 𝑠𝑜 𝑡ℎ𝑒 𝑝𝑟𝑖𝑣𝑎𝑡𝑒 𝐼𝑃 𝑐𝑎𝑛 𝑎𝑐𝑐𝑒𝑠𝑠 𝑟𝑒𝑠𝑜𝑢𝑟𝑐𝑒𝑠 𝑢𝑠𝑖𝑛𝑔 𝑡ℎ𝑒 𝑟𝑜𝑢𝑡𝑒𝑟'𝑠 𝑝𝑢𝑏𝑙𝑖𝑐 𝐼𝑃. 7. 𝑆𝑜𝑢𝑟𝑐𝑒 𝑎𝑛𝑑 𝐷𝑒𝑠𝑡𝑖𝑛𝑎𝑡𝑖𝑜𝑛 𝐼𝑃 𝐶ℎ𝑎𝑛𝑔𝑒𝑠: 𝑁𝐴𝑇 𝑎𝑑𝑗𝑢𝑠𝑡𝑠 𝑏𝑜𝑡ℎ 𝑠𝑜𝑢𝑟𝑐𝑒 𝑎𝑛𝑑 𝑑𝑒𝑠𝑡𝑖𝑛𝑎𝑡𝑖𝑜𝑛 𝐼𝑃𝑠 𝑑𝑒𝑝𝑒𝑛𝑑𝑖𝑛𝑔 𝑜𝑛 𝑤ℎ𝑒𝑡ℎ𝑒𝑟 𝑡ℎ𝑒 𝑐𝑜𝑚𝑚𝑢𝑛𝑖𝑐𝑎𝑡𝑖𝑜𝑛 𝑖𝑠 𝑖𝑛𝑏𝑜𝑢𝑛𝑑 𝑜𝑟 𝑜𝑢𝑡𝑏𝑜𝑢𝑛𝑑, 𝑒𝑛𝑠𝑢𝑟𝑖𝑛𝑔 𝑐𝑜𝑟𝑟𝑒𝑐𝑡 𝑝𝑎𝑐𝑘𝑒𝑡 𝑑𝑒𝑙𝑖𝑣𝑒𝑟𝑦 𝑤ℎ𝑖𝑙𝑒 𝑚𝑎𝑖𝑛𝑡𝑎𝑖𝑛𝑖𝑛𝑔 𝑠𝑒𝑐𝑢𝑟𝑖𝑡𝑦 𝑏𝑦 ℎ𝑖𝑑𝑖𝑛𝑔 𝑖𝑛𝑡𝑒𝑟𝑛𝑎𝑙 𝐼𝑃𝑠 𝑓𝑟𝑜𝑚 𝑡ℎ𝑒 𝑝𝑢𝑏𝑙𝑖𝑐 𝑖𝑛𝑡𝑒𝑟𝑛𝑒𝑡. 8. 𝑁𝐴𝑇 𝑓𝑜𝑟 𝑀𝑢𝑙𝑡𝑖𝑝𝑙𝑒 𝐷𝑒𝑣𝑖𝑐𝑒𝑠: 𝑁𝐴𝑇 𝑎𝑙𝑙𝑜𝑤𝑠 𝑚𝑢𝑙𝑡𝑖𝑝𝑙𝑒 𝑑𝑒𝑣𝑖𝑐𝑒𝑠 𝑜𝑛 𝑡ℎ𝑒 𝑝𝑟𝑖𝑣𝑎𝑡𝑒 𝑛𝑒𝑡𝑤𝑜𝑟𝑘 𝑡𝑜 𝑠ℎ𝑎𝑟𝑒 𝑡ℎ𝑒 𝑠𝑎𝑚𝑒 𝑝𝑢𝑏𝑙𝑖𝑐 𝐼𝑃 (200.100.10.1) 𝑤ℎ𝑖𝑙𝑒 𝑐𝑜𝑚𝑚𝑢𝑛𝑖𝑐𝑎𝑡𝑖𝑛𝑔 𝑤𝑖𝑡ℎ 𝑒𝑥𝑡𝑒𝑟𝑛𝑎𝑙 𝑠𝑒𝑟𝑣𝑖𝑐𝑒𝑠. 𝐸𝑎𝑐ℎ 𝑖𝑛𝑡𝑒𝑟𝑛𝑎𝑙 𝑑𝑒𝑣𝑖𝑐𝑒 𝑎𝑛𝑑 𝑝𝑜𝑟𝑡 𝑐𝑜𝑚𝑏𝑖𝑛𝑎𝑡𝑖𝑜𝑛 ℎ𝑎𝑠 𝑎 𝑢𝑛𝑖𝑞𝑢𝑒 𝑚𝑎𝑝𝑝𝑖𝑛𝑔 𝑖𝑛 𝑡ℎ𝑒 𝑁𝐴𝑇 𝑡𝑎𝑏𝑙𝑒. Follow @techyoutbe for more tech content!

Postgres just got even faster Like most databases, Postgres work with fixed size pages. Those pages are 8K in size, each page will have the rows, or index tuples and a fixed header. The pages are just bytes in files and they are read and cached in the buffer pool. If a table has 100 pages, to do a full table scan, we would be making close to 100 system read calls, taking kernel read-ahead in to consideration. Postgres 17 now combines I/Os to retrieve multiple pages at once. This leads to fewer system calls and lower read latency. Watch my full coverage in this video Postgres just got even faster youtu.be/1KzcJXNSzgE If you prefer audio, listen to the podcast open.spotify.com/show/55pPBm0l7…

"Govulncheck v1.0.0 is released!" by @JQiu25 — goo.gle/46QGFrB #golang

A handy Cheatsheet for SQL and NoSQL databases. Selecting the right database is crucial for project success. Here's a summary of key points: - SQL databases offer structured data storage, SQL support, and relational capabilities. - NoSQL databases provide flexibility, scalability, and distributed architectures. - Specialized databases like columnar, graph, spatial, and time-series cater to specific needs. - Evaluate key features, benefits, and providers to make an informed decision. -- Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): bit.ly/42Ex9oZ #systemdesign #coding #interviewtips .

/1 Why did Amazon Prime Video monitoring move 𝐟𝐫𝐨𝐦 𝐬𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐭𝐨 𝐦𝐨𝐧𝐨𝐥𝐢𝐭𝐡𝐢𝐜? How can it save 90% cost? The diagram below shows the architecture comparison before and after the migration.

Java Guides: Spring Boot Project Architecture javaguides.net/2020/07/spring…

8 Sites to Learn Java Programming for FREE in 2023 buff.ly/3w96FgW

A must read for SREs: What every SRE should know about file descriptors, pipes, terminals, user sessions, process groups and daemons 🤯 biriukov.dev/docs/fd-pipe-s… by @brk0v