Presentations tagged LLMs
LLMs elsewhere
Other relevant things on LLMs you might find valuable.
The Post-Developer Era • Josh W. Comeau
Two years ago, in March 2023, I published a blog post called “The End of Front-End Development”. This was right…
Read More(5278) Stop Managing AI Projects Like Traditional Software – YouTube
We’ll show you why conventional approaches to product development break down when building AI and what to do instead.
Read MoreLLMs can’t stop making up software dependencies and sabotaging everything • The Register
Exploiting hallucinated package names represents a form of typosquatting, where variations or misspellings of common terms are used to dupe…
Read MorePattern #1: From Producer to Manager – AI Native Dev
AI produces the code, you review it It all started with simple code autocompletion in our IDEs. But the real…
Read MoreThe Dynamic Between Domain Experts & Developers Has Shifted
I too have seen this. The first generation of AI-powered products (often called “AI Wrapper” apps, because they “just” are…
Read More‘An Overwhelmingly Negative And Demoralizing Force’: What It’s Like Working For A Company That’s Forcing AI On Its Developers – Aftermath
We’re a few years into a supposed artificial intelligence revolution, which could and should have been about reducing mundane tasks…
Read MoreAI Native development principles and practices | Patrick Debois
Read Moreif you aren’t redlining the LLM, you aren’t headlining
There’s something cooked about Windsurf/Cursors’ go-to-market pricing – there’s no way they are turning a profit at $50/month. $50/month gets…
Read MoreVibe Coding: Democratizing Software, One Snapshot at a Time – AI Native Dev
Is vibe coding going to create a sea of crappy software? Are software engineers doomed?Let’s look at the evolution of…
Read MoreI don’t know what MCP is and at this point I’m too afraid to ask
It feels like everyone’s talking about MCP (Model Context Protocol) these days when it comes to Large Language Models (LLMs),…
Read MoreRevenge of the junior developer
If you still think of AI-based code-autocompletion suggestions as the primary way programmers use AI, and/or you are still measuring…
Read MoreA Model Context Protocol Server (MCP) for Microsoft Paint
Why did I do this? I have no idea, honest, but it now exists. It has been over 10 years…
Read MoreWhy Generalists Own the Future
Source: Why Generalists Own the Future
Read MoreShift Left on Security: Empower Full-Stack Devs to Build Safer Code | Patreon
For most developers, we see securing secret keys and requiring authentication for API endpoints as basic coding, but AI won’t.…
Read MoreHow Software Engineers Actually Use AI
We surveyed 730 coders and developers about how (and how often) they use AI chatbots on the job. The results…
Read MoreDeep Dive into LLMs like ChatGPT – YouTube
This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related…
Read MoreA Field Guide to Rapidly Improving AI Products
Source: A Field Guide to Rapidly Improving AI Products – Hamel’s Blog
Read MoreLeading Effective Engineering Teams in the Age of GenAI
Using AI in software development is not about writing more code faster; it’s about building better software. It’s up to…
Read MoreThe 4 patterns of AI Native Dev
AI is fundamentally reshaping software development roles and activities. While the change is obvious, understanding the actual shifts taking place…
Read MoreAI Blindspots
Blindspots in LLMs I’ve noticed while AI coding. Sonnet family emphasis. Maybe I will eventually suggest Cursor rules for these…
Read MoreNot all AI-assisted programming is vibe coding (but vibe coding rocks)
Vibe coding is having a moment. The term was coined by Andrej Karpathyjust a few weeks ago (on February 6th)…
Read MoreMCPs are APIs for LLMs
Released by Anthropic last November, the Model Context Protocol is described as, “a new standard for connecting AI assistants to…
Read MoreVibe-designing
Currently there’s discussion of ‘vibe coding’ – that is, using LLMs to create code by iterating with prompts, quickly producing…
Read MoreIntroducing AX: Why Agent Experience Matters
We tend to focus on the generative aspect of large language models, the outputs they can create, the text, images…
Read MoreDeepSeek-R1 Uncensored, QwQ-32B Puts Reasoning in Smaller Model, and more…
Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be…
Read MoreAI and Accessibility: the Good, the Bad, and the Bollocks
Depending on what you read, and who you believe, AI is either the ultimate solution or armageddon in motion, so…
Read MoreHere’s how I use LLMs to help me write code
Online discussions about using Large Language Models to help write code inevitably produce comments from developers who’s experiences have been…
Read MoreVibe coding, some thoughts and predictions – by Andrew Chen
Vibe coding is happening, you guys We’ve all been surprised by LLMs being good at writing/brainstorming/generating text, but along the…
Read MoreAI is reshaping UI — have you noticed the biggest change yet?
Goodbye commands, hello intent The way we interact with software is anything but static. Sometimes it’s a gentle evolution, other…
Read MoreState of AI 2025
But today I want to figure out what’s really going on. How do you use AI? What tools have you…
Read MoreWill the future of software development run on vibes?
Instead of being about control and precision, vibe coding is all about surrendering to the flow. On February 2, Karpathy…
Read MoreFrom Design doc to code: the Groundhog AI coding assistant (and new Cursor meta)
Today, alongside with teaching you the technique I’m announcing the start of a new open-source (yes, I’m doing this as…
Read MoreAI vs The Expert
Eleven years ago, comedy sketch The Expert had software engineers (and other misunderstood specialists) laughing to tears at the relatability…
Read MoreHallucinations in code are the least dangerous form of LLM mistakes
A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a…
Read MoreNotes from my Accessibility and Gen AI podcast appearence
I actually use Large Language Models for most of my alt text these days. Whenever I tweet an image or…
Read Morewandler
run ai in your browserinspired by the ▲ AI SDK & built on top of 🤗 transformers.js Source: wandler
Read MoreWhy AI Needs Information Architecture
One of the most common questions I’m asked is, “is information architecture still relevant now that we have AI?”Of course,…
Read MoreDear Student: Yes, AI is here, you’re screwed unless you take action…
It’s just facts, I’m a straight shooter. I’d rather tell it to you straight and provide actionable advice then placate…
Read MoreAI is Stifling Tech Adoption
I propose that the advent and integration of AI models into the workflows of developers has stifled the adoption of…
Read MoreComparing local large language models for alt-text generation
I tested 12 LLMs — 10 running locally and 2 cloud-based — to assess their accuracy in generating alt-text for…
Read MoreMy LLM codegen workflow atm
I have been building so many small products using LLMs. It has been fun, and useful. However, there are pitfalls…
Read MoreIntroducing Web Applets, Rupert Manfredi
Natural language UIs are touted by many to be the future of user interfaces. But right now, they still look…
Read MoreBuild a local and offline-capable chatbot with WebLLM
Now that you better understand client-side AI, you’re ready to add WebLLM to a to-do list web application. You can…
Read MoreThe AI Architect — Bret Taylor
The legendary CEO of Sierra, Chairman of OpenAI, and creator of Google Maps/Facebook Likes on the future of Software Engineering,…
Read MoreIntroducing the Anthropic Economic Index \ Anthropic
In the coming years, AI systems will have a major impact on the ways people work. For that reason, we’re…
Read MoreThe End of Programming as We Know It – O’Reilly
There’s a lot of chatter in the media that software developers will soon lose their jobs to AI. I don’t…
Read MoreThe LLM Curve of Impact on Software Engineers
There is so much debate online about the usefulness of LLMs. While some people see giant leaps in productivity, others…
Read MoreThe future belongs to idea guys who can just do things
There, I said it. I seriously can’t see a path forward where the majority of software engineers are doing artisanal…
Read MoreLife Is More Than an Engineering Problem
Lately, Chiang has trained his eye on artificial intelligence. And Chiang’s takes haven’t gone unnoticed. In a conversation I had…
Read MoreRunning Inference In Web Extensions
We’ve recently shipped a new component inside of Firefox that leverages Transformers.js (a JavaScript equivalent of Hugging Face’s Transformers Python…
Read MoreWhat I’ve learned about writing AI apps so far
I started writing a post called “how to write AI apps” but it was over-reach so I scaled it back…
Read MoreOn-Device AI: Building Smarter, Faster, And Private Applications — Smashing Magazine
Shouldn’t there be a way to keep your apps or project data private and improve performance by reducing server latency?…
Read MoreFive things privacy experts know about AI
In November, I participated in a technologist roundtable about privacy and AI, for an audience of policy folks and regulators.…
Read MoreEnglish will become the most popular development language in 6 years
I found myself reflecting on this myself, and landing on a provocative thought. What if the most popular development language…
Read MoreHow I’d use generative AI to modernize an app
So I won’t sit here and tell you that generative AI makes app modernization easy. Nothing does. It’s hard work…
Read Morecrawshaw – 2025-01-06
This document is a summary of my personal experiences using generative models while programming over the past year. It has…
Read MoreThe death of the stubborn developer
Here’s the rub: As of about May, LLMs can now execute most of the leaf tasks and even some higher-level…
Read MoreBringing AI to the Browser – On-Device AI with the Web AI Toolkit
Welcome! Today we will be covering On-Device AI for Web Apps. Yes, you can run AI models on the users…
Read MoreTop 5 AI Engineering Trends of 2024 – The New Stack
This time last year, I wrote that AI engineering in 2023 was defined by a proliferation of LLMs and an…
Read MoreClient-side AI to combat online toxicity
Hate speech, harassment, and online abuse have become a pervasive issue online. Toxic comments silence important voices and drive users…
Read MoreThe Coming Bifurcation of the Web: AgentWeb vs ArtisanWeb
The web is splitting into two distinct futures: one driven by relentless AI agents, the other shaped by human hands.…
Read MoreBuilding LLMs is probably not going be a brilliant business
In the 1960s, airlines were The Future. That is why old films have so many swish shots of airports in…
Read MorePrinciples of Developer AI Product Development
How do you build products and platforms for developers in a world that contains probabilistic black boxes that surprise you…
Read MoreAI for Web Work
Kevin Powell pitted several AI models against each other in a video focused on CSS questions and found Claude to…
Read MoreAI Scams Are the Point | The New Republic
Arvind Narayanan and Sayash Kapoor open their new book, AI Snake Oil, with a thought experiment: Imagine a world where…
Read MoreAmelia Wattenberger
I think most people use chatbots only as a way to steer somewhere. Answer a question, edit some text, write…
Read MoreWill we care about frameworks in the future?
I’m of the belief that software development is entering a radical shift that is currently driven by agents like Replit’s…
Read MoreThe Future of Design: How AI is Shifting Designers from Makers to Curators
Designers have traditionally been valued not only for their expertise with tools but for their unique aesthetic judgments, which bring…
Read MoreBinary vector embeddings are so cool
Embeddings let you turn an arbitrary piece of text into a series of numbers that manage to represent the meaning…
Read MoreHappy birthday to the BBC In Our Time podcast, 20 years old today (Interconnected)
That development time acceleration of 4 days down to 20 minutes… that’s equivalent to about 10 years of Moore’s Law…
Read MoreWhy AI coding assistants might not help devs much
There’s a gap between expectations, experience, and metrics when it comes to AI code assistants, according to a recent study…
Read MoreSoftware engineering reimagined for the AI-Native era
AI is redefining the software development process. By viewing development through a lens of problem-solving rather than code creation, engineers…
Read MoreA Plea for Sober AI
Source: A Plea for Sober AI | Drew Breunig
Read MoreThe 3 AI Use Cases: Gods, Interns, and Cogs
It gets confusing! For laypeople, it’s hard to nail down what AI actually does (and doesn’t) do. For those in…
Read MoreEval-driven development: Build better AI faster
AI changes how we build software. In combination with developers, it creates a positive feedback loop where we can achieve…
Read MoreExploring the AI Solution Space
The popular imagination has equated intelligence with convincing conversation since Alan Turing proposed his “imitation game” in 1950. The concept…
Read MoreExploring the AI Solution Space
As I’ve been experimenting with AI, I’ve wondered what “used well” might look like. There are several scenarios, and they’re…
Read MoreModeling impact of LLMs on Developer Experience. | Irrational Exuberance
In How should you adopt Large Language Models? (LLMs), we considered how LLMs might impact a company’s developer experience. To…
Read MoreNotes on using LLMs for code
I was recently the guest on TWIML—the This Week in Machine Learning & AI podcast. Our episode is titled Supercharging…
Read MoreWeb Developers, AI, and Development Fundamentals
Even the best AI can only take you so far without a solid foundation in development fundamentals. Developers need to…
Read MoreMapping the landscape of gen-AI product user experience (Interconnected)
One question is always: how should users use this? Or rather, how could they use this, because the best design…
Read MoreThe Shape of Sentient Design
What are the new design patterns, and which old ones fall away? How do you get your head around all…
Read MoreAlexandra White: Digital Creator
As generative AI has become more widely available, we’ve seen how widely the quality of results can vary. In fact,…
Read MoreChatGPT Code: Is the AI Actually Good At Writing Code? – IEEE Spectrum
Programmers have spent decades writing code for AI models, and now, in a full circle moment, AI is being used…
Read MoreWeb AI Showcase
Source: Web AI Showcase
Read MoreWebNN Developer Preview
Run ONNX models in the browser with WebNN. The developer preview unlocks interactive ML on the web that benefits from…
Read MoreTurning the Tables on AI
Now, with a tool that might help us think… How about using AI not to think less but more? But…
Read MoreHow to Fix “AI’s Original Sin” – O’Reilly
But it seems less important to get into the fine points of copyright law and arguments over liability for infringement,…
Read MoreApplied LLMs – What We’ve Learned From A Year of Building with LLMs
We’ve spent the past year building, and have discovered many sharp edges along the way. While we don’t claim to…
Read MoreHome-Cooked Software and Barefoot Developers
For the last ~year I’ve been keeping a close eye on how language models capabilities meaningfully change the speed, ease,…
Read MoreLiving documents as an AI UX pattern
As large language models (LLMs) take the tech world by storm, every product is suddenly sprouting an embedded chat box.…
Read MoreA Plea for Sober AI | Drew Breunig
Below all this hype, there’s a quiet revolution happening. I keep meeting new companies and seeing new products that make…
Read MorePersonal Explorations in Distributed Cognition with Foundation Models | by Mike Kuniavsky | Apr, 2024 | Medium
In this blog post I want to start documenting how I use foundation models in my daily life practice to…
Read MoreLooking for AI use-cases — Benedict Evans
We’ve had ChatGPT for 18 months, but what’s it for? What are the use-cases? Why isn’t it useful for everyone,…
Read MoreConsiderations for AI Opt-Out
Creating a Large Language Model (LLM) requires a lot of data – as implied by the name, LLMs need voluminous…
Read MoreAI isn’t useless. But is it worth it?
But there is a yawning gap between “AI tools can be handy for some things” and the kinds of stories…
Read MoreModels All The Way Down
What this training set contains is extremely important. More than any other thing, it will influence what your model can…
Read MoreHistorical analogies for large language models
How will large language models (LLMs) change the world ?No one knows. With such uncertainty, a good exercise is to…
Read MoreCan generative AI help write accessible code? – TetraLogical
Léonie Watson asked three free Generative AI tools some typical questions about accessible code. The tools were Bard (now Gemini)…
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