🔥 Microsoft launched GitHub AI agent

NVIDIA dropped its Video Search & Summarization (VSS) blueprint, Microsoft launched GitHub AI agent & more!

Hello Everyone, We’ve rounded up the most interesting updates in AI.

Here’s a quick look at what’s inside the newsletter:

  • Microsoft launched GitHub AI agent

  • NVIDIA dropped its Video Search & Summarization (VSS) blueprint.

  • OpenAI has rolled out Codex

  • AI - Word of the Day

🔥  Microsoft launched GitHub AI agent

At Microsoft Build 2025, GitHub Copilot evolved into an autonomous AI coding agent. Now, it can independently handle tasks like bug fixes, feature additions, and documentation updates.

By spinning up a virtual machine, analyzing codebases, and submitting pull requests, it streamlines development workflows. Developers can assign issues directly, and the agent manages the rest, ensuring compliance with existing security protocols. This advancement is available to Copilot Enterprise and Pro+ users, marking a significant step in AI-assisted software development.

⚡ NVIDIA just dropped its Video Search & Summarization blueprint.

NVIDIA just dropped its Video Search & Summarization (VSS) blueprint.

NVIDIA is pushing generative-AI video analytics through a turnkey “Video Search & Summarization (VSS) Blueprint” built on vision-language models (VLMs). VLMs fuse vision + natural language, enabling agents to answer free-form questions about live or recorded video instead of relying on rigid object-detection pipelines.

Target use-cases span manufacturing, smart-city traffic, retail, media, and healthcare—anywhere managers want instant, conversational insights from cameras.

Agents run on NVIDIA NIM™ microservices and slot into the Metropolis platform or NVIDIA AI Enterprise stack for easier deployment.

More details here.

đź’ˇ  OpenAI has rolled out Codex

OpenAI has rolled out Codex , a cloud-hosted software-engineering agent that spins up its own sandbox, edits a repo, runs the project’s tests, and pushes a pull-request—no IDE required.

The agent runs on the new codex-1 model, a version of the o3 family tuned specifically for real-world coding workflows. In internal and community benchmarking, codex-1 solved roughly 72 % of the SWE-Bench Verified tasks , giving it the best published score yet for an autonomous bug-fixing system and putting it well ahead of earlier models and rival agents.

Together, the hands-off workflow and strong benchmark results point to a near-term future where developers increasingly delegate ticket fixing and refactoring to AI while they stay focused on higher-level design.

đź§   AI Word of the Day: "Agentic"

Definition
An “agentic” AI can set its own mini-goals, choose actions, and carry them out without waiting for fresh prompts.

Why you should care
These systems don’t just answer questions—they roll up their digital sleeves, execute tasks, and hand you results. That’s the leap from chatty assistant to do-it-for-me coworker.

Real-world glimpse
OpenAI’s Codex-1 can patrol a codebase, squash bugs, and open pull requests while you grab coffee. No step-by-step nudging required.

One-line takeaway
Whenever you hear “agentic,” picture initiative: software that thinks, decides, and delivers.

That’s all for today!

I hope you enjoyed today’s edition.

Best,

Harsh