Show HN: No Hype AI – get oriented in using LLM tools for software engineering

No Hype AI is a resource guide designed to help software engineers get oriented with LLM tools and AI agents, cutting through hype and conflicting opinions. It provides balanced coverage of models, tools, jargon, productivity effects, and practical concerns like prompt injection and data sourcing risks.

Key Points

• •Cut through LLM hype by providing balanced, practical guidance for software engineers new to AI tools—avoiding both unrealistic AGI predictions and dismissive skepticism
• •Address the jargon barrier by explaining key concepts (MoE, MCP, RAG, distillation, quantization) that newcomers encounter when exploring LLM tools
• •Evaluate productivity claims critically—acknowledge both genuine 10x productivity gains and legitimate failure cases rather than accepting polarized opinions
• •Survey the fragmented tool landscape (models, IDE extensions, CLI agents) to help developers choose appropriate tools for their specific workflows
• •Cover security and ethical risks including prompt injection vulnerabilities and questionable training data sourcing practices
• •Provide substantive resources on context management—a critical technical skill for effective LLM use in software development
• •Bridge the gap between LLM web UI familiarity and more advanced agent-based tools that most developers haven't yet explored
• •Establish realistic expectations about LLM capabilities and limitations in software engineering contexts based on evidence rather than marketing

Workflow Diagram

Concepts