Function calling, MCP, and agent frameworks. What works when you give LLMs tools.
Rapid advancements in agentic engineering have led to a dangerous speed in code production, risking cognitive debt and codebase complexity. Emphasizing the need for balance, Mario Zechner advocates for slowing down to ensure thorough review and thoughtful architecture in software development.
PaperBanana is an agentic AI framework that automates the generation of publication-ready research figures from natural language descriptions. It employs a multi-agent architecture with iterative feedback loops to ensure high-quality outputs, significantly reducing the time researchers spend on figure preparation.
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