AI-AGENTS

Explore how the shift from autocomplete to autonomous agents requires a new discipline: Harness Engineering, and how Codex powers this transition.

Thomas Dohmke, former CEO of GitHub, has secured a record-breaking $60M seed round for a new startup focused on managing the massive influx of code generated by autonomous AI agents.

A comprehensive guide to selecting the right LLM for specific roles in agentic coding systems, featuring benchmarks for Claude, GPT-4o, Mistral, and Gemini.

Explore how Showboat and Rodney solve the observability crisis in AI agent development by providing automated browser recording and demo capabilities.

An in-depth guide to transitioning from simple LLM chatbots to autonomous multi-agent systems using state machines, native tool calling, and hierarchical orchestration.

Building production-ready LLM applications requires more than just API calls. This guide explores RAG pipelines, agentic architectures, cost optimization, and observability for scaling AI systems.

A deep dive into OpenClaw (Clawdbot), an open-source AI agent that controls your operating system, covering its architecture, setup via n1n.ai, and real-world performance.

A comprehensive tutorial on creating a standardized Agent-to-Agent (A2A) chatbot using LangGraph and Python, ensuring interoperability in the modern AI ecosystem.

The AI industry is moving beyond simple chat interfaces toward autonomous agents. Learn how OpenAI o1 and Claude 3.5 are redefining the developer's role from prompter to supervisor.

A detailed analysis of the $20,000 experiment where 16 Claude 3.5 Sonnet agents collaborated to build a functional C compiler from scratch, highlighting the potential and limitations of current agentic workflows.

OpenAI introduces Frontier, a comprehensive management layer designed to orchestrate, onboard, and govern AI agents across the enterprise, drawing inspiration from human HR practices.

OpenAI has introduced Frontier, a comprehensive management platform that allows enterprises to deploy, manage, and scale AI agents with the same level of oversight as human employees.