Chevngko.dev

This post is dedicated to every dev who thought ‘Let’s deploy real quick’ and lived to regret it.



🧠 Powered by: CoreframeAI™ · Build Agents That Think in Loops

Not everything that breaks is a bug.
Sometimes, it’s a blueprint in disguise.

I’ve spent years inside computer vision pipelines — seeing where labeling workflows break, where feedback gets lost, and where the system fails the builder.

That friction didn’t make me quit.
It made me design a system.

That’s why I created CoreframeAI — not another platform, but a modular architecture to turn research into working agents.

If you’ve ever thought “there has to be a better way to build this”… this might be the system you're looking for.

💡 Read the full log: https://medium.com//founder-log-1-the-week-i-realized-vision-models-can-think-b62e6bdb1385
🔗 More at coreframeai.com

— Chevngko · Founder of CoreframeAI

Saturdays remind me why I got into AI building in the first place:

Curiosity. Coffee. Code.
Not everything is urgent—some days you just learn at your own pace.

Who else uses weekends to gently nudge their projects forward?

#

You’re really missing out if you’re not using AI to improve your workflow.

I don’t mean replacing what you do.
I mean speeding up the parts that slow you down:
→ Debugging
→ Note sorting
→ Idea structuring
→ Research overload

AI doesn’t take the work away.
It takes the waste away.

And if you’re building anything — code, content, strategy — you owe it to yourself to try it for a week.

I made the switch. Now I can’t imagine working without it.

💬 What’s one task you wish AI could take off your plate right now?

Before I started using LLMs in my workflow, I thought I was being productive. But in reality, I was stuck in a loop of trial, error, frustration — and tabs. Hours spent chasing answers. Not building. Not learning. Just… circling. Then I made one change: I treated the LLM not like a magic trick, but like a collaborator. Now, I write clearer code. I iterate with intention. I finish what I start — and understand why it works. This shift didn’t just make me faster. It made me sharper. More focused. More curious. And with tools like Google’s Ironwood TPUs making LLM inference faster and more affordable, this way of working is only just beginning. The future of building isn’t about knowing everything. It’s about asking better questions — and building with what already exists. We’re not entering the Age of AI. We’re entering the Age of Inference. And it belongs to the builders. #AIWorkflow #PromptEngineering #LLMTools #AgeOfInference #BuildWithAI #DevMindset #LangChain #AIInfra #CodeSmarter #BuildInPublic #SelfTaughtML

Let’s be real — before I started using LLMs in my workflow, coding felt like a constant state of CTRL+Z.

Endless bugs. Mental fatigue. Tabs on tabs of Stack Overflow.
I wasn’t learning. I was firefighting.

When I started using LLMs not just for Q&A, but as a thinking partner, the game changed:

⚙️ Faster prototype cycles
📈 Smarter prompts = clearer outputs
🔁 Tighter feedback loops that kept me in flow

But here’s the deeper shift no one’s talking about:

🧠 LLMs are evolving faster than our habits.
And with the new Ironwood TPUs from Google Cloud, we’re entering the Age of Inference:

🔹 Real-time responses, not minutes of latency
🔹 Cost-effective scaling — even for indie devs
🔹 Model deployment at speeds that match user expectations

It’s not about training bigger models anymore.
It’s about making smart ones available, fast, and cheap.

The next wave of LLM-powered apps will come from builders who see infrastructure not as “someone else’s job” — but as a creative lever.

I’m adapting my workflow. Are you?

Full article here (🔥 read):
https://blog.google/products/google-cloud/ironwood-tpu-age-of-inference/

Ironwood: The first Google TPU for the age of inference We’re introducing Ironwood, our seventh-generation Tensor Processing Unit (TPU) designed to power the age of generative AI inference.

After hours of coding, take a walk.

🧠💻 After a long coding session, why take a walk? Because your brain just processed a million micro-decisions. Because solving bugs doesn’t mean solving burnout. Because creativity often strikes after you step away. Walking isn’t a break from work — It’s a reset for better work. So go outside. Let your thoughts breathe. And return to your code with clarity. 🚶‍♂️🌿 #TechLife #CoderRoutine #AIMindset #BrainBreaks #AfterCodeWalks #MentalClarity #ProductivityTips #MLJourney #CodingBalance

🚨 New Page. New Energy. Let's Build.

Hey there 👋 Welcome to this space where we build with AI, learn in public, and share ideas that turn procrastination into ex*****on.

This isn’t just another tech page.
It’s a space for:
✅ Small, consistent projects
✅ Big shifts in mindset
✅ Showing up — even when it’s messy

Whether you’re an ML beginner, indie hacker, or just AI-curious, there’s something here for you.

💡 Let’s grow together — one idea, one post, one repo at a time.

Hit “Follow” if you're ready to stop scrolling and start building.