Google confirms Android-PC merger launches next year | The Tech Buzz
Excited About Android for PC? This Leak Gives Us First Glimpse of New OS | PCMag
Google plans to replace ChromeOS with a new platform called Aluminium OS, combining the best of its existing computing software with Android. We may now have seen the first glimpse of the software, but not as Google would have intended.To "compete" with AI, one may need this book :)
"This Competitive Programming book, 4th edition (CP4) is a must have for every competitive programmer. Mastering the contents of this book is a necessary (but admittedly not sufficient) condition if one wishes to take a leap forward from being just another ordinary coder to being among one of the world's finest competitive programmers."
Competitive Programming Book CP4
Competitive Programming 4 - Book 2: The Lower Bound of Programming Contests in the 2020s: Halim, Steven, Halim, Felix, Effendy, Suhendry: 9781716745515: Amazon.com: Cell Phones & Accessories
stevenhalim/cpbook-code: CP4 Free Source Code Project (C++17, Java11, Python3 and OCaml) @GitHub
visualising data structures and algorithms through animation - VisuAlgo
"visualising data structures and algorithms through animation"
Google's New AI Is Smarter Than Everyone's But It Costs HALF as Much. Here's Why They Don't Care. - YouTube
What's really happening when Google ships the smartest AI model on the planet, prices it at a seventh of the competition, and doesn't care if you keep using Claude or ChatGPT? The common story is that this is another benchmark race—but the reality is more interesting when the company generating $100 billion in annual free cash flow is playing a fundamentally different game.
What happens now? - YouTube by Theo - t3․gg - YouTube
Code Is Cheap Now. Software Isn’t. — Chris Gregori
Point: Building functional code is no longer a privilege held only by professional developers.
Justification: Tools like
Point: We are moving away from permanent SaaS platforms toward ephemeral "scratchpad" software.
Justification: Because the cost and time to generate code have dropped so low, it is now viable to build a tool for a single, one-off task and discard it immediately after, similar to how one uses a spreadsheet for quick calculations.
Point: Writing lines of code is easy, but building robust, real-world software remains difficult.
Justification: LLMs can generate syntax, but they don't solve for "the friction of the real world," such as maintenance, edge cases, UX debt, and breaking changes in third-party APIs or DOM structures.
Point: The value of a software engineer has moved from the "how" (syntax) to the "what" and "why" (systems).
Justification: AI hides complexity rather than managing it. Engineers are still required for architectural rigor—knowing how to manage distributed caches, rate-limiting, and data security—tasks that AI-native "weekend apps" often fail to address.
Point: Engineering leverage is no longer a primary differentiator for a business.
Justification: Since anyone can generate a product quickly, the competitive advantage has shifted to factors that are harder to automate: taste, timing, and a deep understanding of the audience. The hardest part is no longer building, but "finding a way to get people to care."
How to Build an AI-Powered Flutter App with Google Antigravity: A Hands-On Tutorial @freecodecamp
use Antigravity to let AI agents plan, write, test, and show video walkthroughs of your app. This “vibe coding” style means that you describe what you want, review plans, and approve changes – all while agents handle the heavy lifting.
Understanding AI Agents and Agentic AI: Concepts, Tools, and Implementation with SmolAgents @CodeMag
Today, there are numerous frameworks available for building AI agents, each offering its own philosophy and strengths. Popular options include SmolAgents by Hugging Face, LangChain, LangGraph (both by LangChain, Inc.), and Microsoft’s AutoGen. Although all of them support agent development, they differ in complexity, flexibility, and intended use cases.huggingface/smolagents: 🤗 smolagents: a barebones library for agents that think in code. @GitHub
cd ~/my-project
docker sandbox run AGENT
Replace AGENT with your preferred agent (claude, codex, copilot, etc.). The workspace defaults to your current directory when omitted. You can also specify an explicit path:
docker sandbox run AGENT ~/my-project 𝟭𝟬 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗚𝗶𝘁𝗛𝘂𝗯 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘁𝗵𝗮𝘁 𝘁𝗮𝗸𝗲 𝘆𝗼𝘂 𝗳𝗿𝗼𝗺 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗮𝗴𝗲𝗻𝘁 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀:
by Andreas Horn (IBM) @ LinkedIn
1:// Hands on Large Language Models (18.7k ⭐)
https://lnkd.in/gQmyPJKk
2:// Microsoft’s AI Agents for beginners (47.3k ⭐)
https://lnkd.in/gFFppw-A
3:// Made With ML practical ML & GenAI projects (45.2k ⭐)
https://lnkd.in/g45cNEuP
4:// GenAI agent tutorials and implementations (18.7k ⭐)
https://lnkd.in/gt9GXcPa
5:// Proven system prompts for building reliable agents (101k ⭐)
https://lnkd.in/gBcBnYp8
6:// Awesome Generative AI learning hub (22.4k ⭐)
https://lnkd.in/gaQViw7A
7:// Prompt engineering deep dive guide (67.9k ⭐)
https://lnkd.in/gg2mn5ES
8:// Real LLM apps with agents and RAG patterns (83.4k ⭐)
https://lnkd.in/gSFEVNip
9:// Practical RAG techniques and examples (23.6k ⭐)
https://lnkd.in/g-Y62FHv
10:// Curated MCP server implementations (76.9k ⭐)
https://lnkd.in/gbZyg5t5
The Best Alternatives to Every Tesla - YouTube
by Auto Focus - YouTube
The video compares several Tesla models with their alternatives in different categories:
Tesla Model 3 (1:07) alternatives include:
Tesla Model Y (3:16) alternatives include:
Tesla Model S (6:09) alternatives include:
Tesla Model X (8:58) alternatives include:
Tesla Cybertruck (12:10) alternatives include:
Agentic AI Frameworks Under the Microscope: What Works, What Doesn’t
Gas Town, Beads, and the Rise of Agentic Development with Steve Yegge - Software Engineering Daily
"AI-assisted programming has moved far beyond autocomplete. Large language models are now capable of editing entire codebases, coordinating long-running tasks, and collaborating across multiple systems. As these capabilities mature, the core challenge in software development is shifting away from writing code and toward orchestrating work, managing context, and maintaining shared understanding across fleets of agents.
Vibe Coding Tools 2026 - What to Use, When, Why
OpenClaw creator Peter Steinberger joins OpenAI→ OpenAI is doubling down on personal agents by hiring the builder behind the viral open-source assistant, while keeping the project alive as open source under a foundation model.
strange name, interesting tool
PostHog – We make dev tools for product engineers
"We're here to help product engineers build successful products
"Anthropic dropped their Economic Index, where they analyzed 2 million conversations across 117 countries. They found a near-perfect relationship between the sophistication of the human input and the sophistication of the AI output (r ≈ 0.925).
𝗠𝗲𝗮𝗻𝗶𝗻𝗴:
AI doesn’t elevate your thinking. It reflects it:
→ Prompt with PhD-level depth, context, and constraints - get depth.
→ Prompt shallowly, with nothing but vibes - get surface-level answers.
𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝘆 𝘁𝗵𝗲 “𝗽𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿” 𝗻𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲 𝗶𝘀 𝗺𝗶𝘀𝗹𝗲𝗮𝗱𝗶𝗻𝗴. 𝗧𝗵𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝗲𝗹𝗶𝘁𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗮𝗿𝗲 𝗻𝗼𝘁 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗽𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴:
→ They’re better at the job.
→ They have domain fluency.
→ They have judgment.
→ They can smell nonsense.
→ They know what “good” looks like.
→ They iterate instead of accepting the first shiny answer.
→ The prompt is just the wrapper.
→ The expertise is the gift."