@_devdeep

Scaler | Backend Engineer | Distributed Systems • APIs • Scalability

devjournal.online
Joined December 2025
  • Tweets4.2K
  • Following958
  • Followers1.2K
178Media
Devdeep retweeted
agentX
@nikks_techie11h
Asked at Microsoft, Tesla, Waymo 🤔 
Your team says the new model is better because it scored higher on a benchmark. 
How do you decide if it's actually better for your product?
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Devdeep retweeted
D3 Bytes
@D3bytes10h

Backend Series Ep 8: HTTP Status Codes Explained

Article · @D3bytes
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Devdeep retweeted
D3 Bytes
@D3bytesOct 27
Need advice from senior backend developers I'm a Node.js developer and thinking about my next step. Should I learn NestJS, or focus on mastering Node.js If you were in my position, what would you recommend learning next? Would love to hear your advice.
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Devdeep retweeted
Edgex
@SahilExecOct 27
My X account is worth $29.5K, yet I’m STILL not verified on unfair.so😭 At this point, the only thing truly unfair is Unfair itself 💀 @notmiramurati WHAT ELSE DO I NEED TO DO TO GET VERIFIED? 👀 Someone tag the team until they notice this. Let’s see if unfair.so can finally prove its name wrong. 🥲🔥
Ted | unfair.so
@notmiramuratiOct 26
who wants to be a millionaire? i actually want to know if your account on X is worth $1M go check this out myaccworth.com
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Devdeep retweeted
D3 Bytes
@D3bytesOct 27

Backend Series Ep 7: HTTP Headers, Request Body & Content Types

Article · @D3bytes
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Devdeep retweeted
agentX
@nikks_techieOct 27
Asked at Scale AI, Stripe 🤔 
Your model works great offline but fails on real user inputs in production.
How do you detect and handle distribution shift?
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@D3bytesOct 26

Backend Series Ep 6: HTTP Methods, URLs, Query Params & Path Params

Article · @D3bytes
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Devdeep retweeted
agentX
@nikks_techieOct 26
Interviewer: If an LLM can answer questions about the future, does that mean it can predict the future?
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Devdeep retweeted
agentX
@nikks_techieOct 25
Asked at Microsoft, Databricks, Glean & Palantir 🤔 You’re deploying a 70B-parameter LLM in production. How much GPU memory do you actually need to serve it?
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Devdeep retweeted
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@D3bytesOct 25

Backend Series Ep 5: Monolith vs Microservices. How Should You Structure a Backend?

Article · @D3bytes
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D3 Bytes
@D3bytesOct 24

Backend Series Ep 4: Ways Frontend and Backend Communicate

Article · @D3bytes
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Devdeep retweeted
Edgex
@SahilExecOct 23
bro asked claude for an office and got a whole GTA side quest 💀
Jesse Rowe
@jessetroweOct 23
I asked Claude to build an office for the @tavus PALs... I was not expecting it to build THAT kind of office
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Devdeep retweeted
Edgex
@SahilExecOct 23
GPT Sol 6.1 just built a ridiculously detailed 3D battle axe in Blender in 7 minutes 💀 The weathered metal, intricate handle carvings, leather wrapping, and tiny details are crazy AI is getting seriously good at 3D modeling 🔥
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Devdeep retweeted
D3 Bytes
@D3bytesOct 23
We’re now a family of 350 people on here! Thank you to everyone who followed, engaged, and supported D3 Bytes. Every single one of you means a lot! If you’re into tech, backend engineering, databases, or system design, let’s connect and grow together. 350 today. Bigger things ahead.
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Devdeep retweeted
D3 Bytes
@D3bytesOct 23

Backend Series Ep 3: Frontend vs Backend Responsibilities (and Why You Never Trust the Client)

Article · @D3bytes
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Devdeep retweeted
D3 Bytes
@D3bytesOct 21

Episode 1: What is backend, and why do we need it?

Article · @D3bytes
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Devdeep retweeted
D3 Bytes
@D3bytesOct 20
Starting a Backend Series from today 57 episodes. From "what is a server" to shipping a production API. Node, Express, auth, databases, caching, Docker, CI/CD, all with demos you can code along. Every episode opens with "what breaks without this." Follow so you don't miss Ep 1. Everything we'll cover is in the thread 👇
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Devdeep retweeted
D3 Bytes
@D3bytesOct 19
Backend developers: which authentication method do you prefer in your applications? A) JWT B) Sessions C) OAuth D) API keys Share your pick and the reasoning behind it in the replies.
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Devdeep retweeted
Edgex
@SahilExecOct 16
3D generation is entering its Agent-Ready era. Hyper3D is leading the shift. I created a production-ready 3D camera using Hyper3D Rodin Agentic Mode. Instead of manually deciding the workflow, Agentic Mode analyzed the reference, selected the best generation approach, and handled the heavy lifting automatically. Workflow: 🔹 Upload reference 🔹 Agentic Mode chooses the optimal modeling path 🔹 Generate the 3D camera 🔹 Refine and iterate with natural language * Parameter Controls -- adjust dimensions and add custom controls for specific parts. * Animation Presets -- describe a movement or gesture and generate an animation with natural language. * Enhanced Materials -- modify the material of specific parts while keeping the rest of the model intact. 🔹 Export production-ready results In this demo, I show the complete process from a camera reference to a fully realized 3D model and the final refined result. Try Agentic Mode on hyper3d.ai #Hyper3D #DeemosTech #Rodin #AI3D #agentready #3DModeling #Agent #agenticmode
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Devdeep retweeted
Edgex
@SahilExecOct 3
The use cases here are only the beginning. AI that can actually understand how we communicate could unlock so many positive applications. But as these systems become more capable, safety and responsible deployment become even more important. There’s so much potential here. We just have to make sure we build it the right way.
Hassaan Raza
@hassaanrazaOct 3
Yesterday we previewed Griffin, a Human Interaction Model capable of seeing, hearing, sounding, and looking like a human does. There have been a lot of questions, so I wanted to take a moment to share our thoughts. By way of introduction: Tavus is a research lab focused on enabling machines to meet us where we are, and to understand the nuances of how we communicate beyond words. Griffin, our latest model, isn’t publicly available yet. Yesterday’s announcement was a limited research preview to demonstrate what the model is capable of. With AI progressing so quickly, we prefer to share breakthroughs openly and in real-time as we work on a safe public release. Face-to-face is how we evolutionarily communicate, it carries the most meaning and intent, and we want computers to be able to help with work that benefits from that emotional understanding, expression, and immersion. Some examples of the kinds of use cases we care deeply about: - A tutor that can build understanding of how a student learns, see exactly when there is confusion or disengagement, and adapt the lesson to fit them. - A health expert that can answer any questions about your upcoming appointment or prescription, at the pace you want, at any time you need, even on a weekend. - A language coach that you can practice speaking with, that can correct your movement and pronunciation, and help build confidence to have real conversations - Or the perfect assistant for everyone, that understands intent, knows how you work and remembers what matters. We’re working with partners on safeguards and systems for disclosure, as well as inviting discussions with officials around wider regulation and safe use. People will always know they’re interacting with AI, while providing an interface that removes the need to ‘speak computer’. We believe in a future where computers understand us well enough to make technology more accessible, more useful, and make us more capable as humans. That is the world we want to build, and we understand the responsibility to do so safely.
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