AI News for Developers #22: Agentic Coding, AWS x OpenAI, and AI That Builds Its Own Data
Hey Devs! This past week was packed with AI developments that could influence how you build and deploy software. Here are the highlights:
Google’s code goes agentic
Sundar Pichai revealed that about 75% of Google’s new code is now AI-generated and reviewed by engineers, up from 50% last autumn. Google is shifting to “agentic” workflows, where developers orchestrate digital task forces of coding agents, enabling complex migrations to be completed 6 times faster.
Read more: Google Cloud Next ‘26 announcements
Meta’s business AI assistant scales
Meta said its business AI assistant beta now manages over 10 million conversations per week. Powered by the Muse Spark model, the assistant is rolling out to more regions, and over 8 million advertisers are using Meta’s AI-creative tools. Zuckerberg signaled monetization may come soon.
Learn more: https://web.facebook.com/business/ai/business-assistant
OpenAI models land on AWS
OpenAI and Amazon deepened their partnership: GPT-5.5, GPT-4.5, and the Codex coding agent are now available via Amazon Bedrock. OpenAI is committed to spending over $100 billion on AWS, and developers can access the models without leaving Amazon’s cloud.
Autodata: an automatic data scientist for synthetic data
Meta AI researchers published a blog on Autodata, a method that lets AI agents act as data scientists. The agent generates training or evaluation data, analyzes its quality, and iteratively refines the data to improve it. The process uses a main LLM “data scientist” supported by sub-agents: one generates examples, others act as weak and strong solvers, and a judge evaluates the results. By meta-optimizing this system, Autodata can produce higher-quality datasets more efficiently than previous self-instruct methods.
Read more: Meta AI RAM blog
Google Agents CLI
At Cloud Next ‘26, Google introduced agents-cli, a command-line tool and skills package that turns your coding agent (Gemini CLI, Claude Code, Codex, etc.) into an expert at building, evaluating, and deploying agents via Google’s Agent Development Kit (ADK). For a hands-on demonstration, check out my video “Google Agents CLI: Build AI Agents FAST (Beginner Guide)” on YouTube.
The video walks through installing the CLI, generating a design spec, scaffolding an agent project, and deploying it to Cloud Run, all in just a few minutes.
See you next week! Cheers, proflead! ;)