Here is the first look at the upcoming OnePlus Nord CE 6 !
If the Nord CE 6 is priced around 25K-30K then it can be a great option during the Amazon Great Summer Sale, IMO, what do you think❓Nord 6 is also back in stock 😉
Nord CE 6 gets :
✅ 1.5K 144Hz flat OLED
✅ Massive 8000mAh battery
✅ Dual stereo speaker
✅ Snapdragon 7s Gen 4, UFS 3.1 storage
✅ 50MP dual axis OIS main camera, 32MP selfie
✅ Both 📸 support 4K video
✅ IP66, IP68, IP69, IP69K
Launch : on 7th May, first sale on 8th May at 12PM IST.
@Gadgetsdata No matter how much I love the design, and I find the IP rating useful, spending 30K to buy Nord 5 from Swiggy Instamart is a better choice.
@Vasu_Devs@Manixh02 This is so good 👌
I noticed that you're a self taught FS-AI engineer, I have a similar goal, could you please guide me on how to achieve the same?
Basically how do I learn full stack first? I'm on CS50 currently.
Please share your approach as well.
@saaaanjjjuuu Best value for money phone?
- under 20k
- under 25k
Best camera and performance, but also overall great phone all rounder for at least next 4 years
Smartphone deals you should consider in this summer sale:
• Galaxy M17e : ₹12,499
• POCO M7 Plus : ₹14,499
• realme P4 : ₹19,999
• Galaxy M56 : ₹21,999
• realme P3 Ultra : ₹23,499
• realme P4 Power : ₹23,999
• realme P4 Pro : ₹24,999
• realme GT 7T : ₹26,499
• POCO X8 Pro : ₹28,999
• POCO F7 : ₹31,999
• OnePlus Nord 5 : ₹31,999
• OnePlus Nord 6 : ₹36,999
• iQOO 15R : ₹42,999
• OnePlus 13s : ₹47,999
• Vivo X200T : ₹49,999
• iPhone 16: ₹58,900
• iPhone 17 : ₹71,900
• Galaxy S25 Ultra : ₹94,999
These deals have been revealed so far and more will be revealed very soon.
You can ask your queries below.
@MicrosoftLearn Beginner engineering grad who needs a job but doesn't have any clear direction or skills. Except problem solving using AI chat, QA manual testing, MS Office, documenting and communication.
@theo_jil I have significantly damaging career gap and I am trying to rebuild myself learn the fundamentals to be able to join the workforce. Do you have any advise for me? I'm at rock bottom
Some good phones with good deals that you may consider on this upcoming sale on Flipkart and Amazon :
✅ realme P4 ~20K
✅ Vivo T4 ~21K -22K
✅ Galaxy M56 ~22K
✅ realme P3 Ultra ~23.5K
✅ realme 15 Pro ~25.5K
✅ Poco F7 ~32K
✅ Nord 5 ~30-32K
✅ iQOO 15R ~43K
✅ Vivo X200T ~50K 🔥🔥
✅ OnePlus 13s ~50K
✅ iPhone 16 ~60K
✅ iPhone 17 ~70K
✅ Galaxy S24 Ultra ~95K
Will keep sharing more once they're revealed...
OnePlus Nord CE6 Lite effectively covers all the key features that buyers look for in a budget phone
considering what's happening to the overall smartphone market..
- Good display (144Hz refresh rate here)
- 2-day battery life (7,000 mAh)
- Decent cameras (50MP + 4K Recording)
- Dimensity 7400 APEX
- Clean OxygenOS 16
A big moment for Lite comeback?
Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins.
For Free. From the engineers who built the stack.
CANCEL Your Weekend Plans, and Learn to Build AI Agents Today.
Bookmark it. Watch it. Build your first production agent this weekend.
$5,000/month. $7,000/month. $12,000/month.
People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase.
This video fixes that tonight.
Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.
↓
Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes.
This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost.
Here's everything inside.
I break down a production AI video like this every week. Follow @codewithimanshu.
↓
The 4-part agent stack that actually scales.
Most devs are duct-taping frameworks together and calling it an "AI agent."
Ivan lays out the real stack:
Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly.
Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches.
Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together.
This is the stack replacing every hacky agent setup in production right now.
Full MCP + Claude breakdowns drop weekly on @codewithimanshu.
↓
Building your first real agent.
Ivan builds a birthday planner agent live.
LLM Agent class. Name it. Define instructions. Pick the model.
He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning.
Full agent built in minutes. Not weeks.
Watch the build once and you'll never structure an agent the wrong way again.
I post agent architectures people pay $500 courses to learn. @codewithimanshu.
↓
Multi-agent systems without the chaos.
Single agents are easy. Multi-agent systems are where 99% of builders fail.
Ivan extends the birthday planner by:
Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs
This is production multi-agent architecture. Clean. Scalable. Debuggable.
Most tutorials hand-wave this part. This one shows you every step.
Multi-agent orchestration content drops weekly on @codewithimanshu.
↓
Deployment without the DevOps nightmare.
This is where most AI projects die.
You build a cool agent locally. It works. You try to deploy it. Everything breaks.
Vertex AI Agent Engine fixes this:
Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed
You provide config and requirements. The platform handles the rest.
This is how agents actually get to production.
Deployment guides for Claude agents post every week. @codewithimanshu.
↓
Agent-to-Agent Protocol: the future nobody's talking about.
Most people don't know this exists yet.
The A2A Protocol lets agents built in different frameworks communicate seamlessly.
Your Claude agent. My LangChain agent. Someone else's CrewAI agent.
All talking to each other. All solving parts of the same problem. All without custom integration code.
This is the infrastructure layer of the coming AI economy.
Getting in early on A2A Protocol is like getting in early on HTTP in 1995.
A2A deep dive coming soon. @codewithimanshu.
↓
30 minutes from the team shipping this in production.
You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost.
People who watch this understand production AI agents at the architect level.
People who skip it keep hacking together frameworks that break every time an API updates.
Save the video. Watch it tonight. Build a real agent this weekend.
Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.
If I had to become an AI engineer in 90 days, I would not start with courses.
I would build projects from these 10 GitHub repos.
1. LangChain
The LLM application framework on almost every AI engineer JD. If you want to build production LLM apps, start here.
repo → github.com/langchain-ai/l…
2. LangGraph
Stateful agents as graphs. The repo JDs mean when they say "agentic workflows."
repo → github.com/langchain-ai/l…
3. LlamaIndex
The go-to framework for RAG and document agents. Every "retrieval pipeline" JD points here.
repo → github.com/run-llama/llam…
4. CrewAI
Multi-agent teams with roles and tasks. Used in production by enterprises across the Fortune 500.
repo → github.com/crewAIInc/crew…
5. Qdrant
A production vector database written in Rust. JDs name it alongside Pinecone, Chroma, and FAISS.
repo → github.com/qdrant/qdrant
6. Ragas
The standard framework for evaluating RAG pipelines. Hallucination, faithfulness, relevancy, all measurable.
repo → github.com/explodinggradi…
7. Ollama
Run open-source LLMs locally in one command. JDs ask for local inference for cost and privacy reasons.
repo → github.com/ollama/ollama
8. Awesome MCP Servers
Model Context Protocol is the newest skill on JDs. This repo indexes every production MCP server out there.
repo → github.com/punkpeye/aweso…
9. Awesome LLM Apps
100+ end-to-end templates for RAG, agents, multi-agent teams, voice agents, and MCP. Real working code.
repo → github.com/Shubhamsaboo/a…
10. AI Agents for Beginners
Microsoft's free 12-lesson curriculum covering the full AI agent stack. No paywall, no signup.
repo → github.com/microsoft/ai-a…
AI engineer job descriptions in 2026 keep asking for the same things: RAG, agents, vector databases, evals, MCP.
These 10 repos teach all of it.
Pick one. Build one project. Push it to GitHub. That's how you start.
100% free. 100% open source.
@hellokillian@karpathy Hi @hellokillian! Great Work with Open Interpreter.
Did you already have pieces of this built, or was this stitched together in one sprint?
Also wondering how you’re handling continuous ingest/update without restarting context
realme didn’t have to cook this hard with the T500 Pro
for just ₹2,799, you get:
> small case with lanyard
> 12.4 mm titanium-plated dynamic drivers
> LHDC 5.0, AAC, and SBC codec support
> Up to 50dB adaptive ANC
> 6-microphone setup
> Bluetooth 6.1
> Triple-device connection
> 56 hours total battery life (with charging case)
> 13.5 hours playback (ANC off, AAC)
> 8 hours playback (ANC on, AAC)
> 9 hours playback (ANC off, LHDC)
> 5.5 hours playback (ANC on, LHDC)
> 2 hour charging time
> IP55 dust and water resistance
> 4.5g per earbud weight
> Google Fast Pair and Find My Earbuds support
> Chocolate, Lemon Cola, and Orange Mint
Now we have to see how the audio tuning is.
@turaluix@oykun@framer@cursor_ai@claudeai This is really impressive. Could you share the exact approach or step-by-step process you followed to build this portfolio site?
want an easy entry into "vibe"-coding as a designer?
🛑stop using @framer for your portfolio website
🏁start using @cursor_ai or @claudeai code to build it
simple enough website
that you can experiment
and update regularly
you are welcome ;)
BREAKING: Now use Claude Opus 4.7 with permanent memory! 🤯
Someone build a tool which gives Claude unlimited memory
> Never hit context limits
> 95% less token consumption
> Picks conversation exactly where you left
Easy setup with a single command
100% free and open source