Anthropic's whitepaper 'Building Effective Agents' outlines five workflow patterns for using large language models, and this post covers the final three: Parallelization, Orchestrator-Workers, and Eva…
Anthropic distinguishes workflows from agents, defining workflows as systems where LLMs are used through predefined code paths, and recommends finding the simplest solution possible, only increasing c…
Koushik Dasika's post 'Coding Was Never the Hard Part' argues that AI's ability to write code exposes that the real difficulty in software engineering has always been structural decisions, not syntax.…
Anthropic defines agentic AI as applications where the model itself drives the process, contrasting with workflows that follow predefined paths. The article introduces key LLM terminology including pr…
Most bad AI output stems from poor prompting, not model limitations, according to a coder and AI user who has spent ten months using tools like Claude Code. The author identifies seven common prompt f…