Google Veo 3 drops prices 50% + Claude fixes itself

"I asked Claude to help debug my code and it apologized for being on a vacation."

What's up builders 👋

Big moves in AI land today - Google just made video generation affordable, Claude admitted they broke things (respect for owning it), and v0 is solving the "why does my app look different on every page" problem. Plus we've got a treasure trove of agent frameworks, prompt engineering tricks, and some spicy takes on why everyone's talking about agents but nobody's actually using them.

Let's dive into what's shipping, what's breaking, and what's worth your precious build time.

Google's Veo 3 and Veo 3 Fast are now generally available with a massive 50% price reduction and support for 9:16 vertical and 1080p HD outputs. This is huge for builders working on video generation features - we're talking production-ready video AI that won't blow your runway.

Why this matters: Video generation has been stuck in the "cool demo but too expensive to ship" phase for most builders. At half the price with vertical format support (hello TikTok/Reels automation), Veo 3 just became viable for actual products. The HD output means you can generate content that doesn't scream "AI made this" from a mile away. If you've been waiting to add video generation to your app, this is your green light. The API is live now in the Gemini API - expect to see a wave of video-first AI apps in the next few weeks.

• v0 Design Systems - Create consistent color schemes across all your v0 generations, adjust them in Design Mode, and preview in light/dark. Finally, your generated UI won't look like it came from 5 different designers.

• dspy-micro-agent - Minimal agent runtime with DSPy modules, includes CLI and FastAPI server. Perfect for when you want agents without the 500MB framework overhead.

• AgenticIDE by infinityg_ai - IDE that flips the model: your ideas become the input, agents handle the implementation. No more wrestling with configs before you can create.

• Bright Data MCP Server - Give your LLMs real-time web superpowers without getting blocked. Works with any LLM, IDE, or agent framework.

• Agent Reinforcement Trainer (ART) - Open-source framework to train multi-step LLM agents using GRPO. Your agents can finally learn from their mistakes.

• YouMind AI Creation Studio - Combines learning with writing in one AI-powered studio. Just launched on Product Hunt if you want to check it out.

• System Prompt Generator for ChatGPT/Claude/Gemini/DeepSeek - Build expert-level agents with this free prompt generator. Works across all major LLMs, saves hours of prompt engineering.

• How to make ChatGPT teach you any skill - Practical tutorial on turning ChatGPT into your personal tutor. Learn the meta-skill of learning with AI.

• 450+ page guide to building AI agents - Not just theory but deployable systems with real code, frameworks, and proven patterns.

• 5 Free AI Courses from Hugging Face - Hands-on courses covering LLMs, AI agents, MCPs, diffusion models, and reinforcement learning.

• End-to-End Data Scientist's Prompt Playbook - Part 3 focuses on prompts for docs, DevOps, and stakeholder communication. Real prompts you can copy-paste.

• Why people aren't using AI agents yet - Most stop at ChatGPT. The gap between agent hype and actual adoption is massive - builders share why.

• Claude quality degradation and fixes - Claude admits and fixes quality issues. Community appreciates the transparency after initial denials.

• Has anyone achieved true 'vibe coding' yet? - Community discusses whether AI can really finish entire apps. Spoiler: we're not quite there.

• Cursor co-founder on humans + AI - Real engineering is thousands of micro-decisions. AI should accelerate, not replace human judgment.

• Mistral AI raises €1.7B, partners with ASML - Major European AI funding with semiconductor giant partnership. Expect better on-device models.

• ElevenLabs $100M employee tender at $6.6B valuation - 2x valuation since Series. Voice AI is having its moment - integration opportunities everywhere.

• Cognition AI (Devin) raises $400M at $10.2B valuation - Founders Fund leads. AI coding assistants are the new unicorn factory.

• Gemini app now accepts audio files - Plus 5 new languages and NotebookLM creates reports. Your audio processing pipeline just got easier.

• Nuclearn raises $10.5M for nuclear industry AI - Automating paperwork for reactor operators. Even nuclear is going AI-first.

• Qwen ultra realism LoRA - Makes photos that look like old iPhone shots from simple prompts. Perfect for authentic-looking generated content.

• Real-time codebase indexing for MCP - Live code indexing for coding and review agents. Your agents can now understand your entire codebase in real-time.

• GitHub repo with 50+ LLM projects - RAG implementations, multi-agent systems, fine-tuning, voice assistants. Clone and learn.

• Agentic AI and Python project management - Strategic framework for where Python tooling is heading with agents. Get ahead of the curve.

• 10 underrated AI tools beyond ChatGPT - Practical alternatives that can save hours daily

• Ultimate AI tools list compilation - Comprehensive resource collection for builders

• More underrated tools for your workflow - Level up beyond the usual suspects

• Pat Walls looking for profitable iPhone app builders - Share your story with millions, inspire others

• Claude subscription cancellation debate - Community discusses model quality and trust issues

Here's a wild thought: We're building agents that can code, but we still can't get them to understand why "it works on my machine" isn't a valid deployment strategy. Maybe the real AGI test isn't passing the Turing test - it's successfully debugging a webpack config without crying.

The agent economy is giving me serious 2017 ICO vibes, except this time the tokens actually do something. Everyone's building agents, but most developers are still copy-pasting from Stack Overflow (now with ChatGPT as the middleman). The revolution will be incremental.

What are you building this week? Hit reply and tell me about your latest "I can't believe this actually works" moment.

Keep shipping,

P.S. If AI really wants to prove it's intelligent, it should start by explaining why node_modules is 2GB for a todo app. Until then, I remain skeptical.