BRICS AI Economics

Author: Emily Fies

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Aug, 29 2026

Hybrid LLM Architecture: Combining API Models with Open-Source Runtimes

Emily Fies
1
Discover how hybrid LLM architectures combine open-source runtimes like Ollama with commercial APIs to cut costs by 40% while ensuring data privacy. Learn practical routing strategies and tool comparisons.
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Aug, 28 2026

Debugging LLM Prompts: Systematic Methods to Fix Outputs

Emily Fies
0
Stop guessing why your LLM outputs fail. Learn systematic debugging methods like task decomposition, RAG, and prompt chaining to improve accuracy and reliability.
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Aug, 27 2026

Prompting for Accessibility: WCAG Compliance Checks in Generated UI

Emily Fies
0
Learn how to prompt AI for accessible UI. Discover WCAG compliance checks, automated testing limits, and best practices for inclusive generated interfaces.
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Aug, 26 2026

Wasp Framework Guide: Full-Stack Vibe Coding for React & Node.js

Emily Fies
0
Discover how Wasp streamlines full-stack development by generating React and Node.js apps from simple configs. Learn setup tips, comparisons, and best use cases.
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Aug, 25 2026

LLM-as-a-Judge Methods: How to Use AI Models to Evaluate Other LLMs in 2026

Emily Fies
0
Learn how to use LLM-as-a-Judge methods to evaluate AI models in 2026. We cover key metrics, tools, and pitfalls for scalable, high-quality AI assessment.
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Aug, 24 2026

Vibe Coding and DevOps: How AI Agents Are Rewriting Pipelines and On-Call Duties

Emily Fies
0
Discover how vibe coding is transforming DevOps by using AI agents to automate pipelines and redefine on-call duties. Learn about the tools, benefits, and security considerations of this new development paradigm.
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Aug, 23 2026

LLM Portfolio Management Strategy: Balancing APIs, Open-Source, and Custom Models

Emily Fies
0
Stop picking one 'best' LLM. Learn how to balance APIs, open-source, and custom models to cut costs by 60% while improving control and compliance in 2026.
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Aug, 22 2026

Energy and Cost Accounting for Training Large Language Models: A Practical Guide

Emily Fies
0
Learn how to accurately calculate the energy consumption and monetary costs of training Large Language Models. This guide covers methodologies, PUE adjustments, and strategies to reduce your AI footprint.
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Aug, 21 2026

Trustworthy AI for Code: Verification, Provenance, and Watermarking in 2026

Emily Fies
6
Discover how verification, provenance, and watermarking secure AI-generated code. Learn the best tools and strategies to build trust in your software pipeline.
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Aug, 20 2026

Debugging Hallucinated APIs: Prompts That Force Real Dependencies

Emily Fies
8
Learn how to stop LLMs from inventing fake API calls. Discover prompting strategies, validation pipelines, and AST-based techniques that force AI code to use real, verified dependencies.
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Aug, 19 2026

Anti-Pattern Prompts: What Not to Ask LLMs in Vibe Coding

Emily Fies
0
Discover the hidden risks of vibe coding. Learn how to avoid anti-pattern prompts that lead to insecure code and master effective LLM prompting strategies.
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Aug, 18 2026

Vibe Coding Scaffolds: How AI Builds Initial Architectures from Prompts

Emily Fies
7
Discover how vibe coding uses AI to build initial software architectures from simple prompts. Learn the benefits, hidden risks, and best practices for using AI scaffolding effectively.

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