AI
Discover Cherry Studio, the open-source desktop client that unifies access to multiple LLM providers like OpenAI, Anthropic, and Google. Learn about its features, installation, and practical workflows for AI development.
AI
Discover ElizaOS, the open-source multi-agent AI framework. This comprehensive tutorial covers its features, architecture, setup, and practical examples to help you build and deploy autonomous agents efficiently.
AI
Explore the 'Awesome AI Tools' repository—a meticulously curated collection of 500+ AI tools for developers, creators, and businesses. Learn about its structure, key categories, and practical ways to boost productivity with the latest AI innovations.
AI
A comprehensive, step-by-step technical tutorial on the NVIDIA NeMo Framework. Learn how to build, train, and deploy enterprise-scale AI models with practical code examples and expert guidance.
AI
SWE-agent: AI-Powered Automated Bug Fixing for GitHub Issues SWE-agent, developed by researchers from Princeton University and Stanford University, is revolutionizing software engineering with its ability to automatically fix GitHub issues using AI. With over 17,600 stars and state-of-the-art performance on SWE-bench, this tool is transforming how developers approach bug
AI
A comprehensive 2025 research article on prompt engineering for enterprise teams. Covers systematic optimization, security, and cost strategies, with insights from Thoughtworks Technology Radar and industry leaders.
AI
Executive summary * Product managers and engineering leaders should prioritize prompt engineering as a core competency, as it directly impacts AI system performance, cost efficiency, and regulatory compliance * Enterprise architects need to establish prompt governance frameworks now, as research shows formal prompt engineering programs can enhance output quality by 40-60% * Security
AI
Discover how prompt engineering transforms from trial technique to enterprise imperative, delivering 340% ROI while managing security risks in production AI systems.
Trends
A deep dive into structured outputs from LLMs: why they matter for enterprise AI, key challenges, implementation strategies, and what teams need to know to move from experimentation to production.
AI
Master prompt engineering for enterprise AI success. Learn techniques, security practices, and implementation strategies from Thoughtworks Technology Radar insights.
AI
Explore Microsoft's new Agent Framework—a powerful, open-source platform for building, orchestrating, and deploying AI agents in both Python and .NET. This tutorial covers installation, features, code examples, and real-world use cases.
AI
Learn how to build production-grade, type-safe GenAI agents in Python using Pydantic AI. This step-by-step tutorial covers installation, agent creation, advanced features, and best practices for leveraging the Pydantic team's revolutionary framework.