The first stage of AI work is prompting. The last stage is removing the model from most of the workflow. That sounds backwards. It is not. When a workflow is new, the LLM is useful because the work is still ambiguous. You are discovering what good looks like. You try a prompt, read the output, adjust the examples, change the tone, add constraints, and run it again. That is a good use of AI. But if
If you've tried building an AI agent in the last six months, you've hit the same wall: there are half a dozen frameworks, each with a different philosophy, a different API surface, and a different definition of what an "agent" even is. I spent a weekend writing the same simple agent — "read a GitHub issue, classify it as bug/feature/question, and post a comment" — in six different frameworks. This
Originally published on TechSaaS Cloud Originally published on TechSaaS Cloud An API gateway sits between clients and your backend services. It handles cross-cutting concerns so your services do not have to: authentication, rate limiting, request routing, load balancing, caching, and observability. WebMobileIoTGatewayRate LimitAuthLoad BalanceTransformCacheService AService BService CDB / Cache API
There is a moment in every system design journey where things stop feeling simple. Until that point, systems seem manageable. You think in terms of databases, APIs, scaling strategies, maybe even caching layers. But then you encounter distributed systems in their true form—data spread across machines, services communicating over unreliable networks, failures happening in unpredictable ways. And su
Giới thiệu TikTok không chỉ là một ứng dụng mạng xã hội; dưới góc độ kỹ thuật, đó là một trong những hệ thống phân phối nội dung (CDN) phức tạp nhất thế giới. Với hàng tỷ lượt xem mỗi ngày, TikTok sử dụng các giao thức streaming thích ứng, cơ chế mã hóa video đa lớp và đặc biệt là hệ thống bảo mật cực kỳ tinh vi để bảo vệ nội dung. TikTok Video Downloader, từ việc phân tích giao thức mạng đến tố
Six months ago, AI tools were "assistants." Today, they're shipping code, fixing bugs, writing tests, and even making product decisions. If you still think AI is just autocomplete on steroids, you're already behind. Let’s break down the newest AI tools that are changing how developers actually work in 2026—and how to stay relevant instead of replaced. The biggest change isn't better suggestions—it
I’ve spent 10 years building bots that bypass anti-fraud systems. Now I fight them by building anti-bot detection systems - and most defenses don’t work. In this article, I’ll break down how human-like bot traffic actually works - and show a simple way to make bots click on hidden links. Almost every website receives large volumes of “direct” and “referral” visits that are not real users. These vi
Table of Contents Introduction Environment Requirements Core Features Core Design and Code Analysis Actual Execution Demo Architecture Overview How You Can Expand Future Plans & Conclusion What is this It is a basic debugger, running on Linux and implemented in C++, aiming to create a debugger that is easy to read and expand. In addition, Lavender's main function is to help users analyze the logic