I built a full-stack app without writing a single line of code.
Not no-code tools. Not drag-and-drop.
Actual SQL + Node.js + React.
Here's my exact workflow with Claude Code 🧵
#ClaudeAI#AIRevolution
Claude just changed the game.
1 million token context window is now available for Opus 4.6 and Sonnet 4.6.
→ No beta flag
→ No premium pricing
→ 900K-token request = same cost as 9K
GPT-5.4 caps at 256K.
Gemini still charges a premium above 200K.
Claude is the only model where both Opus + Sonnet offer 1M context at flat pricing.
Reply below what you want to do with this much context ?
Anthropic just shipped something big for developers.
Claude Code Review — a multi-agent system that auto-reviews your PRs before humans even touch them.
Here's what it does:
→ Deploys a team of AI agents on every pull request
→ Catches logic errors, security bugs & edge cases in parallel
→ Posts inline comments directly on the problematic lines
→ Filters out false positives before flagging anything
→ Scales with PR size — bigger PR = more agents
The numbers from Anthropic's internal testing:
→ Code output per engineer grew 200% in one year
→ Substantive PR reviews jumped from 16% → 54%
→ Large PRs (1000+ lines) — 84% get findings
This isn't autocomplete. This is an AI reviewer that reads your code like a senior engineer.
Available now in research preview for Teams & Enterprise.
→ Official blog: https://t.co/Ro9fyLd9lM
→ Full docs: https://t.co/yXy3yYB3Lt
The future of code review isn't a human skimming PRs at 11pm.
Connect with people smarter than you — daily
Build in public — document the journey
Go deep on one core skill until you're dangerous
Learn what's changing the world right now (AI is not optional anymore)
Find your people — solo is slow, teams compound
Success in 3 years isn't about hustle.
It's about the right inputs, repeated.
The "Super Bowl of AI" drops in 3 days.NVIDIA GTC 2026 explodes March 16–19 in San Jose.
30,000+ builders, researchers, and execs from 190+ countries.
Jensen Huang back on the SAP Center stage, leather jacket loaded.This isn't just another conference. It's the annual reset button for the entire AI stack.
What I'm locked in on
→ Hardware shockwave — Jensen straight-up teased chips "the world has never seen before." Expect deep Rubin architecture reveals (already in production), inference monsters slashing token costs 10x vs Blackwell, maybe early Feynman glimpses on 1.6nm + silicon photonics. If he drops a surprise inference-specialized beast, GPU economics flip overnight.
→ NemoClaw — Rumored open-source agent orchestration layer dropping for enterprises. Autonomous multi-step agents that actually run complex workflows end-to-end without babysitting. If it's as open and production-ready as whispers say, this becomes the LangChain / CrewAI killer on steroids.
→ Vera Rubin systems — Next-gen racks already at 1GW+ scale in the wild. Full-stack codesign: Vera CPU + Rubin GPU + NVLink-6 + BlueField-4 + Spectrum-6 Ethernet. The "rack is the computer" era is here — training times crater, inference becomes dirt cheap.
→ Physical AI & Robotics takeover — Disney bringing AI-powered robotic characters live on stage. Olaf-level expressiveness via GPU-accelerated sim (Newton + Kamino), reinforcement learning policies that self-balance and emote in the real world. This is the bridge from digital agents to embodied ones. Factories, warehouses, homes — physical AI just got its coming-out party.
→ Open vs Closed showdown — Jensen moderating a panel with A16Z, Cursor, LangChain, Thinking Machines. The debate hits peak intensity right as open models are catching up fast. Where does the ecosystem land in 2026? This convo alone could shift billions in mindshare and cap tables.Why builders (and degens) should glue to this:Every layer announces at once — energy → chips → infra → models → agents → apps.
→ GPU street prices, API costs, what frameworks win, what startups get funded — all get redrawn in real time.
→ If Rubin inference delivers the promised order-of-magnitude efficiency, the "AI winter" narrative dies forever and we sprint toward trillion-parameter agents running in prod.Keynote streams free (no reg needed): https://t.co/ap2lD1ebgY
Monday, March 16 | 11 AM PTBlock your calendar. Set alarms. This is the moment the 2026 AI roadmap gets etched in stone.
AI won't be truly normalized until:
1. It's stable enough to run in production without babysitting
2. The cost math works for teams beyond big tech
Right now we're still in the "impressive demos, scary bills" era.
Mainstream adoption is coming — but the infra isn't ready yet.
My take → The next 2 years won't be about new AI models. They'll be about making existing ones reliable, cheap, and boring enough to trust.
Remember when people thought ATMs would completely replace bank tellers? Instead, banks actually opened more branches and hired more people. Why? Because machines are great at handling cash, but humans are needed for trust. AI is going to do exactly the same thing. The real question isn't "will AI take my job?" It's "how can I double down on the uniquely human skills a machine can't replace?"
Anthropic is suing the US government.
Not for money. Not for PR.
Because they refused to build autonomous weapons.
Here's what went down 👇
→ Pentagon wanted Claude with zero restrictions.
→ Anthropic said no to 2 things — autonomous weapons + mass surveillance.
→ Trump posted. Hegseth designated.
→ Claude labeled a "supply chain risk." First US company ever.
→ OpenAI signed the deal. Took the contract same day.
→ Dario said "no choice" — and filed to fight it in court.
One company held the line.
Now the courtroom decides the rules for every AI company after it.
Follow @munaf_ai — I cover the AI stories that actually shape the future.
Reference:-
https://t.co/Y5qPiSIUHA
The AI leaderboard just got interesting 👀
Everyone's talking about GPT & Claude.
But here's what the data actually shows:
🥇 Gemini 3.1 Pro Preview — tops the intelligence index
🔥 GLM-5 — best open-source model, beating Llama & Mistral
⚡Mercury 2 — fastest model at 660 tokens/sec
💸 Gemma 3n — smartest budget pick at $0.03/1M tokens
The models you hear about most ≠ the models that win benchmarks.
The AI race is wider than your feed suggests.
Source: https://t.co/zeZhiTntIF
We partnered with Mozilla to test Claude's ability to find security vulnerabilities in Firefox.
Opus 4.6 found 22 vulnerabilities in just two weeks. Of these, 14 were high-severity, representing a fifth of all high-severity bugs Mozilla remediated in 2025.
@xArunS@CodeEdison I know. I work most of the time on CLI only. But if you're working on multiple projects and you want to do stuff in anti-gravity/ vscode only for seperation purpose then you can use this extension. Btw I use this extension for one more reason it's give good ui of past chats.
I remember when I first tried to build with AI APIs.
The cost alone killed the idea before I even started.
That was the real problem — not the technology.
Today, frontier AI costs $2 per million tokens.
The same tools that only giants could afford? Your local bakery can use them now.
AI isn't coming. It's already here — and it's cheap.