Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub Copilot CLI into their own apps, making it easier to build agentic workflows. This makes it possible to integrate Copilot into any environment. You can build GUIs that use AI workflows, create personal tools that level up your productivity, or run custom internal agents in your enterprise workflows.
OpenAI has released Open Responses, an open specification to standardize agentic AI workflows and reduce API fragmentation. Supported by partners like Hugging Face and Vercel and local inference providers, the spec introduces unified standards for agentic loops, reasoning visibility, and internal versus external tool execution. It aims to enable developers to easily switch between proprietary models and open-source models without rewriting integration code.
This rapid change is largely due to the efficacy of AI tools and how they've tripled productivity. Just a few years ago, we were debating whether tools like GitHub Copilot were even reliable enough for basic autocomplete. Fast forward to today, and AI isn't just generating components; it's scaffolding entire full-stack applications, leading many to wonder if it might truly "take our jobs" in the future.
JFrog has introduced JFrog Fly, an offering the company describes as a zero-config, "agentic repository" for accelerating AI-driven software development. Introduced September 9, JFrog Fly is intended to support agentic workflows for development teams. AI agents orchestrate artifacts across the software life cycle, enabling developers to focus on delivering software to production with speed and scale, according to JFrog. Developers can join a beta waitlist for JFrog Fly.
ODSC AI West 2025 brings together the leading voices, tools, and ideas shaping the future of data science and AI. This year's program features a diverse lineup of sessions that go beyond theory to deliver practical, hands-on strategies for tackling today's most pressing challenges - from building production-ready generative AI systems and deploying resilient agentic workflows to advancing data governance, computer vision, and Bayesian modeling. Whether you're a data scientist, engineer, researcher, or business leader, you'll find sessions designed to give you the skills,
The first time I built an agentic workflow, it was like watching magic, i.e., until it took 38 seconds to answer a simple customer query and cost me $1.12 per request.
