Master coding, to leverage AI

I'm in danger - YouTube by The PrimeTime - YouTube

Why AI Won't Replace Coders (Yet!) - 

AI Agents & The "Ralph Wiggum" Effect in Software Development

AI summary & illustration: 

The video discusses the concept of "Ralph Wiggum" in the AI world, which refers to an advanced form of "vibe coding" where an AI agent iteratively solves a problem based on a detailed specification (2:59).

• Here are the key points:Ralph Wiggum explained: Ralph Wiggum is an AI agent that takes a comprehensive to-do list for an application. It then uses individual agents to solve each bullet point, saving the state after each step and learning from failures. It wipes its memory for each new session to avoid context pollution (2:14-2:59).
  
  
• The speaker's experience with Ralph Wiggum: The speaker tried Ralph Wiggum for a small website project and was pleasantly surprised. He found it useful for exploration projects and for generating proof-of-concepts, especially as an alternative to the "prompt, test, reprompt" cycle (3:02-4:31).
  
  
• Benefits for developers: This approach allows developers to offload repetitive or less critical tasks to AI, freeing up time for "handcrafted, free-range" coding on projects they truly care about (4:31-4:45). It also helps in formulating and refining project ideas into a structured list (4:47-4:55).
  
  
• Not the end of software engineering: The speaker believes this AI tool isn't the end of software engineering. Instead, it helps developers narrow down and focus on the projects they truly want to produce and create (5:56-6:10).
  
  
• Importance of expertise: The speaker emphasizes that knowledge and expertise are more crucial than ever. While AI can generate code, understanding how code works, being able to review it, and possessing "ground truth" knowledge are essential for creating robust and correct software (7:46-8:56).
  
  
• Bullish on learning: The speaker is very bullish on learning to code and becoming a better engineer, stating that understanding code deeply is more important now than ever due to the influx of people without such experience (6:40-7:00, 9:50-10:06).

Why does he dislike prompt cycles?

The speaker dislikes prompt cycles because he found the traditional "prompt, test, reprompt" cycle to be less efficient and more cumbersome compared to the Ralph Wiggum approach, especially for exploration projects and generating proof-of-concepts. He likely finds it to be a repetitive and time-consuming process.

How does Ralph Wiggum solve problems?

• by taking a comprehensive to-do list for an application.
• It then uses individual AI agents to solve each bullet point on the list, 
• saving the state after each step and learning from any failures encountered.
• Crucially, it wipes its memory for each new session to prevent context pollution.

Related

Right now, it's extremely easy to feel behind as a developer. by

Maximilian Schwarzmüller | LinkedIn

Can a newbie really vibe code an app? I tried Cursor and Replit to find out | ZDNET

short answer: NO 

25 years of Wikipedia

 25 years of Wikipedia

WikiWeb Internet Browser

File  Edit  View  Go  Favorites  Help

Which Wikipedia future are YOU?

Quantum teleportation? An internet that grows like a garden? Find out what's in your future with this quick quiz.

15K tiny house @Amazon

a "solution" for hosing crisis?

made from metal, various layouts/prices?

ships from China...

 Amazon Is Selling a Solar-powered Tiny House Under $15K

Amazon.com: 20FT/40FT Prefab Tiny Home for Sale Portable Modular Tiny House to Live in for Adult Expandable Container House 2 Bedroom Mobile Foldable House with Fully Equipped Bathroom & Kitchen : Patio, Lawn & Garden

AI: Apple Siri + Google Gemini

 Google’s Gemini to power Apple’s AI features like Siri | TechCrunch

The partnership confirms previous reporting on a deal with Google. Neither Apple nor Google have confirmed the price tag, but previous reports indicate Apple could be paying Google around $1 billion / year for access to its AI technology. The deal also comes after Apple spent some time testing the technology of competitors like OpenAI and Anthropic.

Apple nears deal to pay Google $1B annually to power new Siri, report says | TechCrunch

The custom AI model’s 1.2 trillion parameters — a measure of the software’s complexity and capability — would far exceed the level of Apple’s current models. For context, the current cloud-based version of Apple Intelligence uses 150 billion parameters, meaning Google’s model would be roughly eight times more complex.

Apple, Google strike Gemini deal for revamped Siri in major win for Alphabet | Reuters

The New Siri is... Google (Explained) - YouTube

= Google Intelligence, rented

business story: Trader Joe’s @Acquired podcast

Another excellent story, how a good business is created!

Acquired podcast is likely better education than a MBA :)

Trader Joe’s: The Complete History and Strategy @ Acquired

Trader Joe's breaks every rule of modern retail. They don't do e-commerce. They don't do delivery. No sales, coupons, or loyalty programs. They only stock 4,000 SKUs versus 50,000+ at normal supermarkets. Their parking lots are famously terrible and they're constantly out of your favorite items....

Inside Trader Joe’s: The Genius Strategy Behind Its Cult Following (and Low Prices) - YouTube

Discover | Trader Joe's

a clever interactive crossword web app on their web site:

2025 Holiday Flyer Crossword | Trader Joe's

EV | Hybrid: Tesla Model Y | Toyota RAV4

 2026 Tesla Model Y Performance - Actually still the best? - YouTube

2026 Toyota RAV4 GR - It's the Hottest Car for a Reason! - YouTube

The BEST All Around Car to Own | Doug DeMuro - YouTube => Model Y !

Microsoft AI: C++ => Rust ??

who is clue-less?

is Microsoft marketing department all gone?

or this is part of strategy, any "news" is better than no news?

oh no - YouTube by The PrimeTime

Anthropic Cowork vs Copilot, AI agent tools

 Anthropic launches Cowork, a Claude Code-like for general computing - Ars Technica

"Anthropic’s agentic tool Claude Code has been an enormous hit with some software developers and hobbyists, and now the company is bringing that modality to more general office work with a new feature called Cowork.

Built on the same foundations as Claude Code and baked into the macOS Claude desktop app, Cowork allows users to give Claude access to a specific folder on their computer and then give plain language instructions for tasks.

Anthropic gave examples like filling out an expense report from a folder full of receipt photos, writing reports based on a big stack of digital notes, or reorganizing a folder (or cleaning up your desktop) based on a prompt."

Introducing Cowork: Claude Code for the rest of your work - YouTube

AI for Healthcare?

can they be trusted with your data?

The problem of managing medical (sick-care more than health-care) data is not solved
even with huge spending in that sector (maybe exactly because of so much spending).
Adding AI to this will just increate the mess, while it potentially could be helpful tool.

Anthropic announces Claude for Healthcare following OpenAI's ChatGPT Health reveal | TechCrunch

after OpenAI’s ChatGPT Health, Anthropic announced Claude for Healthcare,
a set of tools for providers, payers, and patients.

Advancing Claude in healthcare and the life sciences \ Anthropic

Like ChatGPT Health, Claude for Healthcare will allow users to sync health data from their phones, smartwatches, and other platforms (both OpenAI and Anthropic have said that their models won’t use this data for training). But Anthropic’s product promises more sophistication than ChatGPT Health, which seems as though it will be more focused on a patient-side chat experience as it rolls out gradually.

The largest electric ferry ship: 2000+ people, 200+ cars

OIL KILLER: Tesla of the Seas? Australia Just Launched the World’s Largest Electric Ferry - YouTube
The Electric Viking

Australia’s Incat Tasmania has launched Hull 096 — the world’s largest battery-electric ferry — a 130 m all-electric vessel with over 40 MWh of battery power capable of carrying 2,100 passengers and 225 vehicles, marking a major breakthrough in sustainable maritime transport. Its electric propulsion system and huge energy storage betters traditional diesel ferries and paves the way for decarbonising large-scale marine travel.

Incat begins testing world’s largest battery-electric ferry - electrive.com

The aluminium-built electric vessel, designated the ‘Incat Hull 096’,
has capacity for 2,100 passengers and crew plus 225 cars.

GoLang creator upset with AI

with very good reasons...

Creator of Go Crashes out - YouTube

Rob Pike (Co-author of Golang) goes nuclear after being sent an LLM-generated e-mail by an AI agent : r/BetterOffline

F*** You! Co-Creator of Go Language is Rightly Furious Over This Appreciation Email

JavaScript Bundler tools

 The JavaScript Bundler Grand Prix @redmonk

Tool	Year	Language	Creator / Person	Company / Org	License	Link
Browserify	2011	JavaScript	James Halliday	Community	MIT	GitHub
Webpack	2014	JavaScript	Tobias Koppers	Community	MIT	GitHub
Rollup	2015	JavaScript	Rich Harris	Community	MIT	GitHub
Parcel	2017	JavaScript	Devon Govett	Community	MIT	GitHub
Microbundle	2018	JavaScript	Jason Miller	Community	MIT	GitHub
ESBuild	2020	Go	Evan Wallace	Community	MIT	GitHub
Vite	2020	JavaScript	Evan You	VoidZero	MIT	GitHub
Bun	2022	Zig	Jarred Sumner	Anthropic*	MIT	GitHub
Turbopack	2022	Rust	Tobias Koppers	Vercel	MIT	GitHub
Rspack	2023	Rust	Web Infra Team	ByteDance	MIT	GitHub
Rolldown	2024	Rust	Evan You	VoidZero	MIT	GitHub

AI Code Agents "snake oil sales" vs boot.dev

code-gen agents are useful; but they are also dangerous;

it is like driving a high-speed / racing car of motorbike:
you need to constantly "steer" or they will crash.
DraganSr: Bicycle for mind => AI EV superbike
it is not like manual-powered human-coding "bicycle for mind" anymore.

but this is not what AI model promoters are "selling";
they are selling modern "snake oil";
why "snake oil?" 
because that is/was a useful substance, but what was sold was "fake substitutes" that got a bad name.

Snake oil - Wikipedia

The creator of Claude Code just revealed his workflow, and developers are losing their minds | VentureBeat

Boris Cherny on X: "I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit. My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to" / X

Microsoft begs for mercy - YouTube (and Google is cheating!)

So, feed "best ideas that survived" one year of experimentation
generated good TOY VERSION!

That is EXACTLY what you get from code agents if you are just "vibe coding".
That is it.

New snake oil.

Excepted better from Google engineers!

Jaana Dogan ヤナ ドガン (@rakyll) / X

the real deal?

real CODE skills!
to KNIW what to ask AI agent to do, and to be able to understand and drive results!

Learn backend development the smart way | Boot.dev

An AI assistant that uses the socratic method to deepen your understanding, not hand out answers

AI storage tool: Amazon S3 Vectors

Amazon S3 Vectors

Purpose-built storage for vectors

"Cost-optimized AI-ready storage with native support for storing and querying vectors at scale,
reducing total costs by up to 90%

Amazon S3 Vectors is the first cloud object store with native support to store and query vectors, delivering purpose-built, cost-optimized vector storage for AI agents, AI inference, and semantic search of your content stored in Amazon S3. By reducing the cost of uploading, storing, and querying vectors by up to 90%, S3 Vectors makes it cost-effective to create and use large vector datasets to improve the memory and context of AI agents as well as semantic search results of your S3 data.

Designed to provide the same elasticity, scale, and durability as Amazon S3, S3 Vectors lets you store up to billions of vectors and search data with sub-second query performance. It's ideal for applications that need to build and maintain vector indexes at scale so you can organize and search through massive amounts of information."

Working with S3 Vectors and vector buckets - Amazon Simple Storage Service

• Vector buckets – A new bucket type that's purpose-built to store and query vectors.
• Vector indexes – Within a vector bucket, you can organize your vector data within vector indexes. You perform similarity queries on your vector data within vector indexes.
• Vectors – You store vectors in your vector index. For similarity search and AI applications, vectors are created as vector embeddings which are numerical representations that preserve semantic relationships between content (such as text, images, or audio) so similar items are positioned closer together.

Using S3 Vectors with OpenSearch Service - Amazon Simple Storage Service

VS Code Markdown Mermaid extension

How Markdown took over the world - Anil Dash

Daring Fireball: Markdown

Markdown is a text-to-HTML conversion tool for web writers. Markdown allows you to write using an easy-to-read, easy-to-write plain text format, then convert it to structurally valid HTML.

markdown + mermaid is becoming a de-facto documentation + visualization for open source and other code solutions, both in IDEs and on the web

Markdown Preview Mermaid Support - Visual Studio Marketplace

Markdown Preview Mermaid Support

Matt Bierner | 3,811,890 installs

TypeScript

async function sleep(ms: number): Promise<void> {

    return new Promise(resolve => setTimeout(resolve, ms));

}

async function countdown(): Promise<void> {

    for (let i: number = 3; i > 0; i--) {

        console.log(i + "... ");

        await sleep(1000);

    }

    console.log("liftoff");

}

countdown();

Countdown Program Structure

flowchart TD
    main([main]) --> countdown[[countdown]]
    countdown --> loop[/"for i = 3 to 1"\]
    loop --> body["print i
sleep(1000)"]
    body --> loop
    loop --> liftoff["print 'liftoff'"]
    liftoff --> done([end])
        

Countdown Program Flow

flowchart TD
    main([main]) --> countdown[[countdown]]
    countdown --> init
    subgraph loop ["for (i=3; i>0; i--)"]
        init[i = 3] --> check{i > 0?}
        check -->|yes| print["print i + '...'"]
        print --> sleep[[sleep 1000ms]]
        sleep --> dec[i--]
        dec --> check
    end
    check -->|no| liftoff["print 'liftoff'"]
    liftoff --> done([end])
        

science: unusual Moon

Interesting facts about the Moon | Royal Museums Greenwich

Is it just a strange coincidence that the Sun and the Moon as seen from Earth appear to be approximately the same size? : r/Astronomy

The most unusual fact about the Sun-Moon-Earth distance is the incredible cosmic coincidence that the Sun is about 400 times larger than the Moon, but also about 400 times farther away, making them appear almost the exact same size in our sky, allowing for perfect total solar eclipses, a phenomenon unique in our solar system and unlikely to last forever as the Moon slowly drifts away.

Moon Facts - NASA Science

Tidal Locking - NASA Science

You’ve only ever seen half of the Moon in the sky.

Earth’s Moon rotates, but it takes precisely as long for the Moon to spin on its axis as it does to complete its monthly orbit around Earth. As a result, the Moon never turns its back to us, like a dancer circling ― but always facing ― its partner.

This phenomenon, called “synchronous tidal locking,” sounds like a weird coincidence ― but it’s actually quite common. All the solar system’s large moons are tidally locked with their planets.

Wood powered vehicles

While much of the world is moving to EVs, 
100 years back in time, the world was using wood to power trucks.
Even now, it is used in some places.

North Korea’s Trucks Run on Wood - YouTube

The way this works is unusual.

It is not like a "steam engine", instead it is based on generating a flammable gas by burning wood badly, and using that gas, like natural gas, in a standard engine. 
Suboptimal, but it works, apparently.

Category:Wood-gas-powered vehicles - Wikimedia Commons

Gasification - Wikipedia

Energy has been produced at industrial scale via gasification since the early 19th century. Initially coal and peat were gasified to produce town gas for lighting and cooking

During both world wars, especially the World War II, the need for fuel produced by gasification reemerged due to the shortage of petroleum.[9] Wood gas generators, called Gasogene or Gazogène, were used to power motor vehicles in Europe

Wood gas generator - Wikipedia

Stiže autobus | Ko to tamo peva - YouTube