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Quoting Kyle Kingsbury

More broadly, the use of LLMs erodes trust in documentation, in software, and in the organizations which produce them. Perhaps engineers will begin to treat any new software project with suspicion—the signals we used to rely on as markers of a mature system are now easier to counterfeit. [...] In the age of LLMs, what can maintainers do to ensure correct software and accurate documentation? Having done that work, how can they demonstrate its quality to users? — Kyle Kingsbury, Jepsen results for ParticleDB 1.1.4 Tags: kyle-kingsbury, llms, ai, generative-ai, ai-misuse

How We Took Over ChatGPT Accounts

How We Took Over ChatGPT Accounts Parameter Labs describe an exploit they found against ChatGPT's implementation of the artifacts pattern (OpenAI used to call this "Canvas" but it looks like the latest revision is called HTML previews), where interactive custom HTML apps are displayed in a sandboxed iframe. It's important that HTML in these stays tightly sandboxed to avoid untrusted code interacting with OpenAI APIs and accessing private data. Parameter found quite a complex attack chain. OpenAI use the MathLive JavaScript library as part of their graph support, and that library includes its own virtual keyboard, which can be triggered in the parent page via postMessage() from the sandboxed iframe. That message receiving code uses innerHTML, so anything that sends a message can add custom

Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode

Factory released Droid 1.0, a model-independent coding agent harness that makes programmatic tool calling the default. On Factory’s own Terminal-Bench 4 runs, Droid scores 65.2% with Claude Opus 5.5 at $4.73 per passed task. The post Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode appeared first on MarkTechPost.

Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

This post presents a five-stage operating model for managing Amazon Bedrock cost: attribute every dollar to an owner, make every request observable, enforce budgets, optimize platform defaults, and operate a review cadence. Written for FinOps and platform engineering teams.

Preview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime

Amazon Bedrock AgentCore Session endpoints give each runtime session an authenticated URL that forwards any HTTP method, path, and WebSocket connection to the ports you allow. In this post, you deploy a coding agent that keeps a Vite website running in its session, then watch the live site update in your browser as the agent edits files.

How Dylan Anderson became founding engineer at Adam

Dylan left Minnesota for San Francisco to build AI agents for CAD software as the first engineer at Adam (W25).

[AINews] Building AIE CODE: The top Coding Agent Conference

Mistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps.

GitHub Copilot Fusion Launches with Dual Capabilities: Intelligent Model Orchestration and Local Model Routing

On October 28, 2026, GitHub released the official version of Copilot Fusion, simultaneously introducing an experimental local model routing feature. This capability enables automatic invocation of local models such as MAI Code 1.1 Flash on Windows devices and activates intelligent routing within VS Code, the CLI, and the Copilot App. The system automatically selects and combines cloud models—like those from OpenAI, Anthropic, and Google—based on three effort levels: Standard, High, and Max, achieving performance close to Claude Code while cutting costs in half during coding evaluations.

GitHub releases Copilot Fusion, an automated multi-model orchestration tool that boosts coding efficiency and cost-effectiveness.

At Universe 2026, GitHub unveiled Copilot Fusion, an intelligent orchestration layer that automatically routes and combines models from OpenAI, Anthropic, Google, and others to complete coding tasks—eliminating the need for developers to manually select models. It integrates existing automatic model-selection technologies with Project HydraFusion, previewed in September. Once the model selector is enabled, the system automatically adopts execution modes such as single-model, cascading, or critique, based on task complexity.

Route and orchestrate models with GitHub Copilot Fusion

GitHub Copilot Fusion is generally available. Instead of picking a model for each task, choose Copilot Fusion and let Copilot intelligently route and orchestrate which models it uses for you.… The post Route and orchestrate models with GitHub Copilot Fusion appeared first on The GitHub Blog.

GitHub Copilot app, Universe releases

Work doesn’t always fit in a single repository or session. A feature can span several repositories. A launch plan can pull in specs, designs, and assets without touching a repository… The post GitHub Copilot app, Universe releases appeared first on The GitHub Blog.

GitHub Enterprise now includes access to GitHub Copilot

Enterprises working with a GitHub or Microsoft account team can now get Copilot included with GitHub Enterprise for every licensed user. Previously, you had to manage two things: how many… The post GitHub Enterprise now includes access to GitHub Copilot appeared first on The GitHub Blog.

Security extension for the GitHub Copilot app

You can now work through your repository’s GitHub code scanning alerts without leaving the GitHub Copilot app. The new GitHub security extension, now in public preview, lets you find the… The post Security extension for the GitHub Copilot app appeared first on The GitHub Blog.

GitHub intelligence puts your code, context, and history to work

Agents should understand more than your codebase—they should understand how your team works. Your preferences, repository conventions, skills, and custom instructions guide how changes should be made, while code in… The post GitHub intelligence puts your code, context, and history to work appeared first on The GitHub Blog.

Build shared workflows for your team with Copilot Automations

Shared Copilot Automations are rolling out, enabling teams to build and maintain AI-powered workflows together. With Copilot Automations, you can combine prompts, triggers, and tools to design workflows around the… The post Build shared workflows for your team with Copilot Automations appeared first on The GitHub Blog.

Repository plugin defaults and enterprise plugin controls generally available

Repository plugin defaults and enterprise-managed plugin controls are now generally available in VS Code, Copilot CLI, and the GitHub Copilot app. Trusted repositories can install and enable default plugins for… The post Repository plugin defaults and enterprise plugin controls generally available appeared first on The GitHub Blog.

Generate and edit images directly in Copilot

You can now generate and edit images using natural language in GitHub Copilot. When you ask for an image, your selected reasoning model calls a dedicated image-generation tool powered by… The post Generate and edit images directly in Copilot appeared first on The GitHub Blog.

GitHub Copilot Fusion now supports selection of local models

Today we are shipping intelligent routing for local models into experimental preview. GitHub Copilot Fusion can now choose between supported on-device models and cloud models, enabling intelligent local model routing… The post GitHub Copilot Fusion now supports selection of local models appeared first on The GitHub Blog.

AI programming capabilities are reshaping hiring standards, with Anthropic’s head of recruiting scrapping traditional coding interviews.

Felix Rieseberg, Anthropic’s recruitment manager and engineering lead for Claude-related products, stated that his team has eliminated traditional coding‑question interviews, bluntly declaring, “Coding interviews are dead—at least for my team.” He argues that AI tools like Claude can effortlessly tackle small React challenges and even low‑level assembly tasks, diminishing the value of conventional coding tests in distinguishing candidates’ true engineering abilities. As a result, interview outcomes may increasingly reflect the performance of AI tools rather than the candidate’s actual skill level.

GitHub Copilot supports server-to-server authentication

GitHub Copilot now supports server-to-server authentication for GitHub Apps installed on organizations, available in public preview. Services and agents built with the GitHub Copilot SDK can now make requests on… The post GitHub Copilot supports server-to-server authentication appeared first on The GitHub Blog.