Better Stack explores how Turbo Fieldfare utilizes the unique architecture of Apple Silicon to run massive mixture-of-experts models. By streaming specific model components directly from SSD and leveraging unified memory, this approach significantly reduces RAM requirements, making advanced AI performance more accessible on local hardware.
The skills you have already written don't have to stay locked to one coding agent. A new open standard called Agent Plugins lets you bundle Agent Skills and MCP servers into a single folder that works across Codex, ChatGPT, Cursor, GitHub Copilot, Kiro and VS Code, with Google joining more recently.
A plugin under this standard is just a directory. Your skills folder, exactly as you already have it, a plugin.json manifest, and an mcp.json where your MCP servers live. That is the portable core, and it is a much simpler file structure than you would expect from a spec with this many big names on it.
As AI makes coding dramatically faster, the next big challenge in software development is testing and validating all that code. Blacksmith has raised a new $45 million round to capitalize on that shift.
Founded in 2024, Blacksmith helps companies build, test, and verify software before it reaches production. The startup now serves more than 5,000 customers, including Mercury, Supabase, Clerk, Ashby, and Expensify, up from more than 700 customers less than a year ago, co-founder and CEO Aditya Jayaprakash said in an exclusive interview.
Amazon Web Services is threading its AI-powered security infrastructure directly into the coding environments built by two of its fiercest rivals — and in doing so, it is making a bold bet that controlling the security layer matters more than controlling the model.
AWS announced at Black Hat USA 2026 this month that its Continuum platform for code vulnerabilities will integrate directly into Anthropic's Claude Code and OpenAI's Codex, alongside AWS's own Kiro IDE.
WorldofAI demonstrates how to integrate Kestra with AI agents to create reliable, human-in-the-loop automation workflows. By leveraging YAML-based configurations and native integrations with services like GitHub, users can manage predictable tasks alongside AI-driven reasoning, ensuring critical actions only proceed after manual review and approval.
Earlier this week, the AI startup Liquid, formed in 2023 by former MIT computer scientists, debuted LFM2.5-2.6B, a new open-weight language model designed specifically for agentic workloads.
In release materials and a recent interview with VentureBeat, Liquid's researchers said LFM2.5-2.6B can run entirely on local hardware — from smartphones and laptops down to a Raspberry Pi — without relying on cloud inference or GPUs, unlocking edge AI applications and giving more options to enterprises working in regulated industries or with sensitive information they don't want to send up to the cloud.
Hark, the secretive AI startup founded earlier this year by serial entrepreneur and roboticist Brett Adcock, today announced Handoff, a "computer use agent" (CUA) that it says is among the top-performing in the world at navigating the open web on a user's behalf — ordering dinner on DoorDash, booking flights on United and Delta, or messaging job candidates on LinkedIn — all autonomously, end-to-end.