Agentplace.io

Top 8 resources to master #vibecoding - the new way of building software. You don’t need another crash course in syntax - you need tools, courses, and talks that show you how to build outcomes with AI as your co-pilot.  1. Introduction to Vibe Coding (Module by Microsoft Learn) 🔗 https://lnkd.in/e6-htRjd  2. How To Get The Most Out Of Vibe Coding (YC Startup School Alumni School lecture by Tom Blomfield) 🔗 https://lnkd.in/d5zCi4b7 (https://lnkd.in/euJMZbPt)  3. Vibe Coding 101 with Replit (DeepLearning.AI course by Michele Catasta and Matt Palmer) 🔗 https://lnkd.in/e9RX4rvN  4. IBM: What is Vibe Coding? (Explainer & Practice Guide by IBM) 🔗 https://lnkd.in/eQSPCTvc  5. What is Vibe Coding? (Article by Google Cloud) 🔗 https://lnkd.in/eaKActP2  6. Vibe Coding & Context Engineering with ChatGPT + Python (Udemy course by Vibe Coding Academy) 🔗 https://lnkd.in/eaBPeb42 7. Claude Code: A Highly Agentic Coding Assistant (Short course by DeepLearning.AI, Anthropic, by Elie Schoppik) 🔗 https://lnkd.in/eqrkz-9T 8. Vibe Coding Fundamentals - Build Apps with AI Specialization (Coursera, by Per Harald Borgen, Guil Hernandez and Maham Codes) 🔗 https://lnkd.in/e2WK35gA ♻️ If this was useful, drop a reaction or share it with your network. at the very end of the post.

8 best resources that will get you growth your startup as a Founder You don’t need theory - you need hands-on lessons from people who’ve built, sold, and scaled real companies.  1. Closing your first contract (YC Startup School Alumni School lecture by Tom Blomfield) 🔗 https://lnkd.in/eEU8gzGE  2. Bear Market Blitzscaling (podcast with Reid Hoffman) 🔗 https://lnkd.in/eJkczQhA  3. Founder-Led Sales: The Art of Driving Sales Growth (Udemy course by Omar Jones) 🔗 https://lnkd.in/e_ZTx_vY  4. B2B Sales Foundations (LinkedIn Learning course by Robbie Kellman Baxter) 🔗 https://lnkd.in/erHaQ_f5  5. Practical Founders (weekly podcast by Greg Head) 🔗 https://lnkd.in/dG5WcB3f  6. A Startup’s Guide To Negotiating With Investors (talk by Lousin Mehrabi) 🔗 https://lnkd.in/enFNQ9JQ  7. Negotiating Commercial Deals with AI (talk by Martin Rand, CEO of Pactum AI) 🔗 https://lnkd.in/evEtAWtq  8. Tips for Technical Startup Founders (Y Combinator lecture by Diana Hu) 🔗 https://lnkd.in/epWPDKcU Bonus for non-tech founders: make your website with Agentplace.io → https://agentplace.io What would you add to the list? ♻️ If this was useful, drop a reaction or share it with your network.

The best meme of the week by Anthropic Follow hashtag #aiagentmemes every Friday and share your favorites 👇 #aimemes #techhumor

Amazing courses list on AI and agents by the people building every day

The next decade of software will be built by AI Agents. Microsoft knows it — and that’s why they just published a 12-part guide on how to build them. No paywalls. No upsells. Just free on YouTube. If you’ve been waiting to understand agents, this is the crash course! And it didn’t come from a random guru. It came from the company that will shape the standard. Save it, watch it, use it.

Anthropic: Raised $13B  Also #Anthropic: Pays $1.5B in settlement AI innovation is expensive. Sometimes very expensive.

After reading yet another investment report… here’s a meme for you. Follow #aiagentmemes every Friday and share your favorites 👇 #aimemes #techhumor

2024 was the year AI took over venture capital. AI funding jumped +62% YoY ($68B → $110B) Non-AI tech fell –12% ($258B → $227B) By 2025, AI already accounts for nearly half of all global venture funding. For us at Agentplace.io, this validates the core thesis we’ve been building on: 🔹 The future isn’t “AI + tech” 🔹 The future is AI-native tech That means: Apps where the model is the backend Dynamic UIs driven by reasoning No glue code, no “AI add-ons” This is why we’re here: to help founders and teams build AI-native products from day one. The bifurcation is real. Which side of it are you building on?

Last week a friend at a mid-sized company said: “We don’t have AI in our company yet.” I smiled. Because I knew that wasn’t true. Massachusetts Institute of Technology just confirmed it. While only 40% of companies have officially bought an #LLM subscription, 90% of employees are already using AI tools for work on their own. Personal ChatGPT, Claude, Midjourney - paid with their own cards. Automating reports, drafting decks, analyzing data. That’s the shadow AI economy. It’s messy. It’s unofficial. And yet… it works. Shadow AI is a bridge - showing what actually works at scale long before enterprise dashboards catch up. If you’ve seen this inside your org, I’m collecting stories. Share one in the comments or DM. #AgenticWeb #AIInnovation

The real AI arms race isn’t about models. It’s about money. New data from Statista shows just how high the stakes are: → Amazon: $108B in 2025 (cloud dominance) → Microsoft: $88B (Azure + cloud infrastructure) → Alphabet Inc.: $85B (Google Cloud) → Meta: $72B (product-focused + "personal superintelligence") This is the foundation of everything: GPUs, datacenters, cloud capacity. Without it, there’s no GPT-5, no multimodal models, no “AI-native” future. Do you think this level of investment will centralize AI even further around Big Tech - or open the door for smaller players?