In this tutorial, we show how we treat signals as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline …
Tag:
coding
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Generative AI
A coding, data-driven guide to measuring, visualizing, and implementing cognitive complexity in Python projects using complexity
In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexity. We start measuring complexity directly from raw code strings, then extend the same analysis to individual files …
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Anthropic’s “smartest model” is getting a big boost, the company said in a blog post announcing Cloud Opus 4.6. It called the new model a “direct upgrade” from its predecessor …
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AI News
Anthropic releases Cloud Opus 4.6 with 1M context, agentic coding, adaptive logic control, and expanded security tooling capabilities
Anthropic has launched Cloud Opus 4.6, its most capable model to date, focused on long-context reasoning, agentic coding, and high-value knowledge work. This model is built on Cloud Opus 4.5 …
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AI Tools
OpenAI recently launched GPT-5.3-Codex: a fast agent coding model that integrates frontier code performance and business logic into a single system
OpenAI recently introduced GPT-5.3-Codex, a new agentic coding model that extends Codex to handle a wide range of tasks on computers, from writing and reviewing code. The model combines the …
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Apple is building AI-powered coding agents from OpenAI and Anthropic directly into Xcode. New Integration in Xcode 26.3 Anthropic’s Cloud Agent and OpenAI’s Codex will give developers the ability to …
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AI Tools
NVIDIA AI Releases VibeTensor: An AI-generated Deep Learning Runtime Programmatically Built End-to-End by Coding Agents
NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-driven coding agents under high-level human guidance. The system asks a concrete question: …
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GitHub today is making Codex AI coding agents from Cloud by Anthropic and OpenAI available directly inside GitHub. A new public preview adds cloud and codecs to GitHub, GitHub Mobile, …
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AI News
A coding implementation to train safety-critical reinforcement learning agents offline using d3rlpy and conservative Q-learning with fixed historical data
In this tutorial, we build a security-critical reinforcement learning pipeline that learns from fully deterministic, offline data instead of live exploration. We design a custom environment, generate a behavior dataset …