#models
18 posts tagged models.
Claude Code models, effort and fast mode: which knob to turn, and when
The model sets how capable an answer can be; effort sets how much work goes into it. Before you turn either, work out why the answer failed. Then: the model aliases, which effort setting overrides which, and what /fast costs if you switch it on at the wrong moment.
How Agent Distraction Impacts AI Coding Efficiency
Learn how obsolete TODOs and bug references in codebases distract AI agents, increasing costs and delays in coding tasks.
Google Play Services LiteRT Boosts GPU Speed and Reduces App Size
LiteRT in Google Play Services now offers faster GPU inference and smaller app sizes, making it easier to run custom ML models on Android.
A2UI gets faster with swappable formats and decision models
A2UI now lets you choose how models generate UI layouts, with new formats that cut latency by up to 80x for common screens.
API Gateway adds streaming for real-time and AI APIs
Google Cloud's API Gateway now supports streaming endpoints, letting you serve real-time and AI APIs without splitting your infrastructure.
What Amp's AI Agents Mean for Beginners Building Software
Amp's AI agents, powered by OpenAI models, are expanding what beginners can achieve in software development, from planning to design and beyond.
What Google's Ambient Quality Agent Means for Beginners Building AI
Google's Ambient Quality Agent (AQuA) helps diagnose production issues in AI agents, making it easier for beginners to maintain and improve their software.
How to Choose and Use GPT-6 Models for Building Software with AI
Learn how to select the right GPT-6 model for your project, optimize prompts, and manage long-running tasks effectively.
What GPT-6.1 Sol Means for Beginners Building AI Agents
GPT-6.1 Sol brings near-Astra performance at a fraction of the cost, making powerful AI agents more accessible for beginners.
What Agent Anomaly Detection Means for Beginners Building AI Agents
Agent Anomaly Detection adds a safety layer for AI agents, flagging risky behavior without slowing them down.
How to Evaluate and Improve AI Coding Agents Effectively
Learn how to move beyond end-to-end benchmarks and use behavioral evaluations to iteratively improve AI coding agents.
How GPT-6 Astra Helps Devin Test Its Own Code
Cognition uses GPT-6 Astra to automate testing and improve code review efficiency in its Devin software engineering agent.
OpenAI's Zero Data Retention changes how you build private AI apps
OpenAI now keeps no record of your API requests unless you opt in, with new safeguards that spot risks across conversations without storing content.
How Google’s Agent Development Kit Secures AI Agents for Beginners
Learn how Google’s Agent Development Kit helps you build secure AI agents with zero-trust architecture, even as a beginner.
Why Go is the best language for AI-assisted coding
Google explains why Go's design makes it uniquely suited for working with AI coding assistants - and what that means for beginners.
Google Cloud API Gateway Adds Model Routing for AI Applications
Google Cloud API Gateway now supports model routing, allowing developers to dynamically route AI requests to different models without hardcoding endpoints.
MCP Stateless Updates Make AI Agents Scale Better
Google's MCP stateless updates remove session bottlenecks, making AI agents more scalable and easier to deploy in production.
Claude's new Apple integration changes how you build iOS apps with AI
Claude now works with Apple's Foundation Models framework, letting Swift developers combine on-device AI with Claude's reasoning in one workflow.