







Notes from my Thoughtworks colleagues on AI-assisted software delivery
Exploring Generative AI
Notes from my Thoughtworks colleagues on AI-assisted software delivery

The Economic Benefit of Refactoring
Notes from my Thoughtworks colleagues on AI-assisted software delivery

Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl
Notes from my Thoughtworks colleagues on AI-assisted software delivery

Generative AI in a Nutshell - how to survive and thrive in the age of AI
In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.

The Myth of the Instant Cake Mix
How to think about creative tooling in the new world of generative AI

AI coding wisdom from the people who would know
Essays and threads from experienced developers who've gone deep on AI-assisted coding.
Updates to Apple’s On-Device and Server Foundation Language Models
With Apple Intelligence, we're integrating powerful generative AI right into the apps and experiences people use every day, all while…

Why Generative UI Is the New Frontier for Business Software
In an era where AI constructs UIs on the fly, discover how SAP is tapping generative UI to reimagine how works gets done.

Generative UI: The AI agent is the front end
In a new model for user interfaces, agents paint the screen with interactive UI components on demand. Let’s take a look.

Generative UI: A rich, custom, visual interactive user experience for any prompt
Yaniv Leviathan, Google Fellow, Dani Valevski, Senior Staff Software Engineer, Vishnu Natchu, Principal Engineer, and Yossi Matias, Vice President & Head of Google Research

Turns out Generative AI was a scam
Or at least very very far from what it has been cracked up to be

Ars Technica's policy on generative AI
How Ars Technica uses, and doesn't use, generative AI.

Generative Agents: Interactive Simulacra of Human Behavior
Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools. In this paper, we introduce generative agents--computational software agents that simulate believable human behavior. Generative agents wake up, cook breakfast, and head to work; artists paint, while authors write; they form opinions, notice each other, and initiate conversations; they remember and reflect on days past as they plan the next day. To enable generative agents, we describe an architecture that extends a large language model to store a complete record of the agent's experiences using natural language, synthesize those memories over time into higher-level reflections, and retrieve them dynamically to plan behavior. We instantiate generative agents to populate an interactive sandbox environment inspired by The Sims, where end users can interact with a small town of twenty five agents using natural language. In an evaluation, these generative agents produce believable individual and emergent social behaviors: for example, starting with only a single user-specified notion that one agent wants to throw a Valentine's Day party, the agents autonomously spread invitations to the party over the next two days, make new acquaintances, ask each other out on dates to the party, and coordinate to show up for the party together at the right time. We demonstrate through ablation that the components of our agent architecture--observation, planning, and reflection--each contribute critically to the believability of agent behavior. By fusing large language models with computational, interactive agents, this work introduces architectural and interaction patterns for enabling believable simulations of human behavior.

Writing with AI help can shift your opinions | Cornell Chronicle
Artificial intelligence-powered writing assistants that autocomplete sentences or offer “smart replies” not only put words into people’s mouths, they also put ideas into their heads, according to new research.
Library: Faculty Guide to Generative AI: Welcome
Library: Faculty Guide to Generative AI: Welcome
