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Engineer decoding AI 🔍 Prompts, agents, chips, data centers — how it all actually works.
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Spent a day inside OpenAI DevDay 2026 in San Francisco.

The biggest takeaway wasn’t just the models or the demos.

AI is moving from answering → doing.

And the real opportunity now is in what builders create on top of it — agents, tools, products, and systems that actually take action.

This is where things are getting interesting.

#openai #openaidevday #artificialintelligence #aiagents #aiengineering by @avinashontech
1
3 days ago
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From countdown to keynote — OpenAI DevDay felt like a glimpse of where software is heading next.

The shift is getting clearer: AI is moving from answering questions to actually taking action. Agents, coding, tools, realtime experiences — all becoming part of the developer stack.

And this is exactly what I’ll keep breaking down in my Demystifying AI Agents series — simple, practical, no hype.

More from DevDay coming soon. 👀

#openai #openaidevday #chatgpt #aiagents #artificialintelligence by @avinashontech
1
4 days ago
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AI made answers cheap. Good questions became expensive.

The real advantage now isn’t knowing everything — it’s knowing what to ask, what to build, and what actually matters.

#ai #artificialintelligence #developers #futureofwork #techthoughts by @avinashontech
0
20 hours ago
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AI can write code faster than ever.

But the real developer skill is still knowing what to build, why it matters, and how everything fits together.

The job isn’t disappearing.
It’s evolving. 🚀

#ai #softwareengineering #developers #artificialintelligence #techcreator by @avinashontech
1
3 days ago
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AI can code faster than ever.

But writing code was never the whole job.

Developers still decide what to build, how the pieces fit together, what can break, and whether the output is actually right.

Less typing. More thinking.

That’s the shift.

#AI #SoftwareEngineering #Developer #Coding #ArtificialIntelligence by @avinashontech
1
5 days ago
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AI agents sound complicated. They really aren’t.

At the core, an agent is basically:

LLM + Tools/Functions + Memory + Trigger

The model decides what to do.
Functions let it take action.
Memory keeps context.
A user, event, or schedule starts the loop.

Think → Act → Remember → Repeat.

That’s the foundation. Everything else is architecture.

Demystifying AI Agents — Ep. 1

#AIAgents #ArtificialIntelligence #AgenticAI #LLM #AIEngineering by @avinashontech
1
5 days ago
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Being a developer in the AI era feels like having the fastest junior engineer ever… who also needs constant code review. 😅

AI can generate the fix in seconds. The real skill is knowing what to trust, what to question, and what to debug next.

The workflow changed. The responsibility didn’t.

#AI #SoftwareEngineering #DeveloperLife #Coding #artificialintelligence by @avinashontech
2
6 days ago
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Stopped waiting for the perfect idea.

Now I just build, learn, break things, fix them… and see where it leads.

Maybe the next big thing starts exactly like this — quietly, with no one watching.

#BuildInPublic #TechCreator #AIBuilder #DeveloperLife #KeepBuilding CreatorJourney SoftwareEngineer TechReels BuildAndLearn StartBeforeYoureReady by @avinashontech
1
7 days ago
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Google is sending AI chips to space next week 🛰️

Not a metaphor. Real TPUs — the same chips running in Google’s data centers — strapped to a satellite on a SpaceX rocket.

Why? In orbit, solar panels make 8x more power than on Earth. Free electricity, forever.

The catch: no air means no fans. If the chips survive the heat and radiation, entire AI data centers could end up orbiting the planet.

Would you trust an AI running 500km above your head? 👇

Follow for the launch 🚀

#TechNews #Gadgets #FutureTech #google #spacex by @avinashontech
1
7 days ago
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Meta just put AI on a keychain — and I’m obsessed 🔑

This is Muse Charm: a tiny dedicated AI device with its own display. No phone, no apps, just talk.

But here’s the bigger play — Meta is putting Muse everywhere. Glasses, keychain, even your Mac. AI that’s with you, not trapped in your phone.

Would you carry one? I’m genuinely tempted 👇

Part 2 tomorrow: the glasses with NO camera 📸🚫

#MetaConnect #MuseAI #SmartGlasses #WearableTech #AI TechNews Gadgets FutureTech by @avinashontech
1
9 days ago
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AI isn’t expensive because every task is hard.

It’s expensive because we often send every task to the biggest model.

File lookup. Email draft. Basic coding. Classification.
Most of that doesn’t need premium reasoning.

Route the easy work to smaller models.
Save GPT-6 and Astra for the hard stuff.

That’s where JEV gets interesting.

Right task. Right model. Lower cost.

#AI #JEV #LLM #GPT6 #AIAgents AIEngineering MachineLearning GenerativeAI Tech ArtificialIntelligence by @avinashontech
2
10 days ago
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Building the next DoorDash? Here’s where Jev fits.

An order is 40 minutes late.
Your system needs one answer: refund, wait, or escalate?

Yes, ChatGPT can make that decision too.

Jev is interesting because it’s designed specifically for small, structured decisions inside software — fast, focused, and lightweight.

Think decision engine, not chatbot.

I’m Avinash, and this is Quick Concept — no bullshit, just the idea.

#Jev #AI #ArtificialIntelligence #AIAgents #LLM SoftwareEngineering TechExplained MachineLearning Developer TechReels QuickConcept by @avinashontech
1
12 days ago
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