Krishal

AI coding agents are getting good enough to build features. But I think most builders are about to hit a different problem: review overload. The bottleneck is no longer “can AI write code?" It’s “can I trust this diff without reading 900 lines?”

What’s the hardest part of backend development? A) Designing APIs B) Handling auth C) Scaling services D) Fixing production bugs

@LauraLunaTech Exactly. More like a portable trust layer. One verified identity, then other platforms can say: “yes, this is the same creator.” Way better than handing biometric data everywhere.

@srekrishal It's probably more likely that you get an account verified on a trusted platform and then prove it's you through the account at other places.

In the future, we will not only need labels like… Made in Germany, Made in India, Made in Korea, but also some kind of label or verification like… Made by a human.

@LauraLunaTech I hope not biometrics 😅 Probably a mix of platform verification, signed provenance, and creator history. Less “prove your body is real.” More “prove this work came from this trusted human account.”

Agreed, we are already seeing more people willing to pay for an individual's blog post, something that seemed unthinkable a few years ago (Substack), and also artist communities that gatekeep submissions! How do you think creators will be verified? Blockchain? Some kind of biometric data?

AI coding agents are getting good enough that the real risk isn’t bad code anymore. It’s giving them too much access. I’m starting to treat every agent like a powerful junior dev: branch only, scoped tokens, no prod keys, review before merge. How are you setting guardrails?

@frog_omo Exactly. Fast code review is the new superpower.

@srekrishal The new developer skill might become: “spotting subtle AI mistakes quickly.”

AI coding agents are getting good enough to build features. But I think most builders are about to hit a different problem: review overload. The bottleneck is no longer “can AI write code?" It’s “can I trust this diff without reading 900 lines?”

@Aditya_181105 This is the real backend roadmap. Frameworks change, but these concepts keep showing up once your app has traffic, failures, queues, retries, and multiple services talking to each other. Especially event-driven systems + tracing. That’s where things start getting real.

If you want to understand how modern backend systems are built, study these: >REST vs gRPC >Monolithic vs Microservices >Load Balancing Algorithms >Database Replication Models >Event-Driven Systems >Message Brokers (Kafka/RabbitMQ) >API Gateway Architecture >Service Discovery Mechanisms >Circuit Breaker Pattern >Distributed Tracing Systems

AI coding tools make it very easy to feel productive. More prompts. More generated code. More “progress”. But I’m not sure that always means better software. The real edge might be knowing when to stop asking AI and start shipping. How are you measuring AI productivity in your workflow?

@ayesha_fatiima First thing: don’t open tools randomly 😂 Learn Linux basics, networking basics, then practice only in legal labs like TryHackMe / Hack The Box. Kali is powerful, but the real skill is knowing what you’re actually doing.

Just installed Kali Linux for the first time What should I do next?

Curious how other builders are handling this. Are you letting coding agents work on bigger features now? Or still keeping them limited to small fixes, tests, and refactors?

The best workflow I’ve found: think first scope tightly let the agent implement run tests review the diff like a human wrote itthen either accept, edit, or throw it away AI speeds up coding. It doesn’t remove judgment.

What’s the most underrated skill for engineers right now? A. Writing clean code B. Debugging fast C. Understanding systems D. Communicating clearly