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.
4h ago · 10 min read · Most Binance bots start the same way. One process opens a WebSocket, pulls a depth snapshot, keeps a local order book in memory, and runs a strategy loop on top. For one bot, on one machine, this is f
OOlena and 1 more commented
3h ago · 7 min read · NeuralStack | MS — Article 1 of 3 Part 1 of the AI Security & Cybersecurity Series The term "penetration testing" gets thrown around liberally in security conversations, often conflated with vulnera
Join discussion
40m ago · 3 min read · The API returned success. The message was not delivered. Those are not the same thing. A request returning is not the same as work completing From the outside, sending an SMS looks simple: request →
Join discussion
I am a Backend Developer who designs for performance and scale. Love to explore the under the hood part of technologies.
1 post this monthObsessed with crafting software.
5 posts this monthFrom Swift code to shipped products
1 post this monthI am a Backend Developer who designs for performance and scale. Love to explore the under the hood part of technologies.
1 post this monthObsessed with crafting software.
5 posts this monthFrom Swift code to shipped products
1 post this monthCompletely agree, most failures I’ve seen come from poor context management and unclear data flow, not the model itself. State handling also becomes a major issue when workflows scale, especially with multiple tools and agents interacting. In my experience, debugging improves a lot once you treat it as a system design problem rather than just an AI model issue.
Hmm, I think AI tools are actually pretty helpful, but you still have to double-check everything — they’re not perfect 🙂
Yeah, when I was freelancing a lot of time was spent understanding the existing code in the projects I was being asked to update.
Intersting learning experience. The way you explained Python features makes it easy to connect with real learning experiences.
Really solid walkthrough, Dimitri. The CLAUDE.md approach resonates — I've been doing something similar with project-specific context files for automation workflows, and the difference in output quality is night and day. Curious about your experience with the local Docker setup for Oracle DB 26ai — how does the sync with your cloud DEV database work in practice? That's always been a tricky part in my client projects where we need consistent environments across teams.
I keep seeing people blame the model when something breaks. In most cases, that’s not where the problem is. From what I’ve seen, things usually fail somewhere else: agents pulling in too much or wron
Yeah, I mostly agree with your point — once agents start chaining tools, memory, and external APIs, it quickly becomes a systems problem, no...
Strong framing Suny Choudhary! Every failure mode listed traces back to the same root: nobody's measuring input quality before it hits the m...
