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888 articles on AI & ML.

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AI & ML — A framework for pricing AI products

A framework for pricing AI products

While businesses are rapidly building AI products, monetization remains a challenge. In this post, we share a framework for building a successful pricing strategy with key decision points on charge metrics, billing models, and guardrails.

KMKunal MahajanKunal Mahajan·September 11, 2025AI & ML
AI & ML — 5 tips for writing better custom instructions for Copilot

5 tips for writing better custom instructions for Copilot

This guide offers five essential tips for writing effective GitHub Copilot custom instructions, covering project overview, tech stack, coding guidelines, structure, and resources, to help developers get better code suggestions.

CHChristopher HarrisonChristopher Harrison·September 3, 2025AI & ML
AI & ML — A New Ranking Framework for Better Notification Quality on Instagram

A New Ranking Framework for Better Notification Quality on Instagram

We’re sharing how Meta is applying machine learning (ML) and diversity algorithms to improve notification quality and user experience. We’ve introduced a diversity-aware notification ranking framework to reduce uniformity and deliver a more varied and engaging mix of notifications. This new framework reduces the volume of notifications and drives higher engagement rates through more diverse […] Re

CWChris Wiltz·September 2, 2025AI & ML
AI & ML — From Black Box to Blueprint

From Black Box to Blueprint

A common enterprise problem: crucial legacy systems become “black boxes”—key to operations but opaque and risky to touch. We worked with a client to use AI-assisted reverse engineering to reconstruct functional specifications from UI elements, binaries, and data lineage to overcome analysis paralysis. We developed a methodical “multi-lens” approach—starting from visible artifacts, enriching increm

TPThiyagu Palanisamy and Chandirasekar Thiagarajan·August 28, 2025AI & ML
AI & ML — Some thoughts on LLMs and Software Development

Some thoughts on LLMs and Software Development

I’m about to head away from looking after this site for a few weeks (part vacation, part work stuff). As I contemplate some weeks away from the daily routine, I feel an urge to share some scattered thoughts about the state of LLMs and AI.

MFMartin Fowler·August 28, 2025AI & ML
AI & ML — How Cloudflare runs more AI models on fewer GPUs: A technical deep-dive

How Cloudflare runs more AI models on fewer GPUs: A technical deep-dive

In order to support a growing catalog of AI models while maximizing GPU utilization, Cloudflare built an internal platform called Omni. This platform uses lightweight isolation and memory over-commitment to run multiple AI models on a single GPU, allowing us to serve inference requests closer to users and improve overall availability across our network.

SMSven, MariSven, Mari·August 27, 2025AI & ML
AI & ML — Building your own CLI Coding Agent with Pydantic-AI

Building your own CLI Coding Agent with Pydantic-AI

CLI coding agents are a fundamentally different tool to chatbots or autocomplete tools - they're agents that can read code, run tests, and update a codebase. While commercial tools are impressive, they don't understand the particular context of our environment and the eccentricities of our specific project. Instead we can build our own coding agent by assembling open source tools, using our specif

BOBen O'Mahony·August 27, 2025AI & ML
AI & ML — Securing the AI Revolution: Introducing Cloudflare MCP Server Portals

Securing the AI Revolution: Introducing Cloudflare MCP Server Portals

We’re excited to announce Cloudflare MCP Server Portals are now available in Open Beta. MCP Server Portals are a new capability that enable you to centralize, secure, and observe every MCP connection in your organization. This feature is part of Cloudflare One, our secure access service edge (SASE) platform that helps connect and protect your workspace.

KKennyKenny·August 26, 2025AI & ML
AI & ML — Conversation: LLMs and Building Abstractions

Conversation: LLMs and Building Abstractions

Unmesh and Martin exchanged some emails about building abstractions while working with an LLM. They talk about the influence of Brooks's framing of essential and accidental complexity, and how this carries over to thinking of programming as both growing and applying abstractions. An LLM is useful in both modes of working, but has to be used differently. We can't reduce growing abstractions to a st

UJUnmesh Joshi and Martin Fowler·August 26, 2025AI & ML
AI & ML — How we built AI face cropping for Images

How we built AI face cropping for Images

AI face cropping for Images automatically crops around faces in an image. Here’s how we built this feature on Workers AI to scale for general availability.

DDDeanna, Diretnan DomnanDeanna, Diretnan Domnan·August 20, 2025AI & ML
AI & ML — The three types of AI bot traffic and how to handle them

The three types of AI bot traffic and how to handle them

Bots account for over 20% of all web traffic. A quarter of that is AI crawlers alone. But not all bots are bad. Some are key to how your site gets discovered. Learn how AI bots shape visibility and what happens if you block them.

VVercel·August 13, 2025AI & ML
AI & ML — Vercel collaborates with OpenAI for GPT-5 launch

Vercel collaborates with OpenAI for GPT-5 launch

The GPT-5 family of models released today, are now available through AI Gateway and are in production on our own v0.dev applications. Thanks to OpenAI, Vercel has been testing these models for a few weeks in v0, Next.js, AI SDK, and Vercel Sandbox.

VVercel·August 7, 2025AI & ML
AI & ML — Diff Risk Score: AI-driven risk-aware software development

Diff Risk Score: AI-driven risk-aware software development

The state of the research Diff Risk Score (DRS) is an AI-powered technology built at Meta that predicts the likelihood of a code change causing a production incident, also known as a SEV. Built on a fine-tuned Llama LLM, DRS evaluates code changes and metadata to produce a risk score and highlight potentially risky code […]

CWChris Wiltz·August 6, 2025AI & ML
AI & ML — How far can we push AI autonomy in code generation?

How far can we push AI autonomy in code generation?

We ran a series of experiments to explore how far Generative AI can currently be pushed toward autonomously developing high-quality, up-to-date software without human intervention. As a test case, we created an agentic workflow to build a simple Spring Boot application end to end. We found that the workflow could ultimately generate these simple applications, but still observed significant issues

BBBirgitta Böckeler·August 5, 2025AI & ML
AI & ML — MCP UI: Breaking the text wall with interactive components (2025) - Shopify

MCP UI: Breaking the text wall with interactive components (2025) - Shopify

MCP UI extends the Model Context Protocol to enable AI agents to return fully interactive UI components. It solves the critical challenge that commerce experiences require visual and interactive elements like product selectors, image galleries, and cart flows. This open-source protocol allows agents to embed commerce components while maintaining control through an intent-based messaging system, de

SEShopify Engineering·August 5, 2025AI & ML
AI & ML — Building a human-computer interface for everyone

Building a human-computer interface for everyone

What if you could control any device using only subtle hand movements? New research from Meta’s Reality Labs is pointing even more firmly toward wrist-worn devices using surface electromyography (sEMG) becoming the future of human-computer interaction. But how do you develop a wrist-worn input device that works for everyone? Generalization has been one of the […]

CWChris Wiltz·August 4, 2025AI & ML
AI & ML — AI SDK 5

AI SDK 5

Introducing type-safe chat, agentic loop control, new specification, tool enhancements, speech generation, and more.

VVercel·July 31, 2025AI & ML