AI can generate a thousand articles a minute. But it can't do your thinking for you. Hashnode is a community of builders, engineers, and tech leaders who blog to sharpen their ideas, share what they've learned, and grow alongside people who care about the craft.
Your blog is your reputation — start building it.
7h ago · 2 min read · This was my first ever valid bug bounty report through a VDP, and it got marked High severity. It was also not a duplicate, so for me this was a huge win. One thing I had heard a lot in bug bounty is
Join discussion
5h ago · 3 min read · What is Spring AI? — Why Java Developers Need This in 2026 Every AI tutorial you see is in Python. LangChain, LlamaIndex, OpenAI SDK — all Python. But here's the uncomfortable truth: 80% of enterprise backends run Java. So who's building AI into thos...
FFaisal commented3h ago · 21 min read · 1. The Foundations of Display Logic 1.1 Raster timing primitives A raster display is driven by a continuous stream of pixels accompanied by timing signals that delineate lines and frames. Horizontal s
Join discussion39m ago · 11 min read · Overview of .NET 10 Runtime Performance Improvements The .NET 10 runtime delivers its most significant set of low-level performance improvements in years. For enterprise ASP.NET Core teams running hig
Join discussion1h ago · 7 min read · 🛡️ Anthropic Says Mythos Is Too Powerful for You Peasants Anthropic's newest model Mythos is apparently so good at finding security exploits that they're locking it behind an enterprise-only program called Glasswing - sharing it exclusively with AW...
Join discussion1h ago · 3 min read · Recent research on financial professionals revealed something unexpected: when people use AI for complex tasks, their cognitive load actually increases. Imagine asking AI a question and receiving five paragraphs with the answer buried somewhere insid...
Join discussionJADEx Developer
1 post this monthSr. Staff Software Engineer @ CentralReach - Working with MAUI / .NET / SQL Server / React
1 post this monthEdge AI | Efficient AI | Embedded Computer Vision
1 post this monthJADEx Developer
1 post this monthSr. Staff Software Engineer @ CentralReach - Working with MAUI / .NET / SQL Server / React
1 post this monthEdge AI | Efficient AI | Embedded Computer Vision
1 post this monthMost are still shipping “AI add-ons.” The real shift happens when the whole workflow disappears into one action — that’s when users actually feel the value.
hmm, I think this is a really useful idea, especially for small businesses that struggle to keep all communication in one place. maybe I’m wrong, but simplifying channels like this can save a lot of time and stress.
Designing the BFF (Backend-for-Frontend) contract with request aggregation and client-specific shaping is a smart way to keep frontends lean while improving performance and maintainability. By aggregating multiple backend calls into a single, tailored response, the BFF reduces network overhead and simplifies client logic. At the same time, shaping responses specifically for each client (web, mobile, etc.) ensures that only relevant data is delivered, improving efficiency and user experience. When done well, this approach creates a clean separation of concerns, allowing backend services to remain generic while the BFF adapts outputs to meet diverse frontend needs.
Agile isn't dead — but the ceremony-heavy version of it is becoming irrelevant. With AI-assisted development, the feedback loop is collapsing. You can prototype, test, and iterate in hours instead of sprints. What I'm seeing with clients is that the teams shipping fastest have moved to something closer to continuous decision-making — small bets, quick validation, and letting AI handle the boilerplate so humans focus on the product decisions that actually matter. The two-week sprint feels like a relic when you can ship meaningful changes daily.
From my point of view,I use AI daily, and it definitely boosts productivity. But if you rely only on prompts and generated code, you miss out on real understanding. Writing code yourself helps you identify and fix problems more easily—something that becomes harder when you depend too much on AI.
For the last year, a lot of companies rushed to add AI features. A chatbot here. A summary tool there. Maybe a little automation layered on top. But that phase is getting old fast. What’s trending now
Most are still shipping “AI add-ons.” The real shift happens when the whole workflow disappears into one action — that’s when users actually...
Most companies are still in the AI flavored features phase it's easier to layer ai on top than to rethink the entire workflow AI-native prod...