BRICS AI Economics

Category: AI Engineering - Page 3

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May, 20 2026

Senior Architect vs Junior Developer: Mastering Role Assignment in Vibe Coding Prompts

Emily Fies
0
Learn how to use role assignment in vibe coding prompts to boost code quality. Compare Senior Architect vs Junior Developer personas for better security, modularity, and efficiency.
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May, 19 2026

API Design in Vibe-Coded Systems: Contracts Before Implementation

Emily Fies
0
Learn how to secure AI-generated code by defining API contracts before implementation. Explore Spec-Driven Development, VibeContract, and practical workflows to reduce hallucinations and technical debt in vibe-coded systems.
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May, 18 2026

Fintech Vibe Coding: Mock Data, Compliance Guardrails, and Real-World Risks

Emily Fies
0
Explore how fintech companies use vibe coding to accelerate development while maintaining compliance. Learn about mock data strategies, AI guardrails, and real-world risks in 2026.
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May, 16 2026

Security for RAG: Protecting Private Documents in Large Language Model Workflows

Emily Fies
0
Learn how to secure Retrieval-Augmented Generation (RAG) workflows against data leaks and prompt injections. Explore seven-layer defense strategies, compare commercial vs. open-source tools, and ensure compliance with GDPR and HIPAA regulations.
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May, 15 2026

Retrieval-Augmented Generation (RAG) Advances: Better Search, Better Answers in Generative AI

Emily Fies
10
Explore how Retrieval-Augmented Generation (RAG) is transforming Generative AI by reducing hallucinations and boosting accuracy. Learn about Agentic RAG, implementation challenges, and why it beats fine-tuning for factual tasks.
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May, 12 2026

Ownership Maps: Who Maintains What in AI-Generated Repositories

Emily Fies
8
Discover how ownership maps clarify responsibility in AI-generated repositories. Learn to track dependencies, assign maintenance roles, and avoid production crashes with tools like Augment Code and Moddy.
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May, 11 2026

How to Evaluate LLM Agents: Task Success, Safety, and Cost Metrics

Emily Fies
10
A comprehensive guide to evaluating LLM agents using task success, safety, and cost metrics. Learn how to implement milestone scoring, audit tool usage, and measure coordination efficiency for autonomous AI systems.
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May, 10 2026

Domain-Specialized LLMs: Why Code, Math, and Medicine Models Beat General AI

Emily Fies
8
Discover how domain-specialized LLMs in code, math, and medicine outperform general AI. Explore accuracy gains, cost savings, and real-world implementation challenges for 2026.
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May, 9 2026

Risk Assessments and Impact Statements for Large Language Model Projects: A Practical Guide

Emily Fies
8
Learn how to conduct effective risk assessments and write impact statements for Large Language Model projects. This guide covers bias, privacy, hallucinations, and compliance with ISO/IEC 42001.
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May, 8 2026

LLM Training Failure Modes: Why Models Crash and How to Fix Them

Emily Fies
0
Explore common failure modes in LLM training, from synthetic data traps to infrastructure crashes. Learn practical fixes for hallucinations, bias, and hardware faults.
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May, 7 2026

Anonymization vs Pseudonymization in LLM Workflows: A Practical Guide

Emily Fies
6
Compare anonymization and pseudonymization for LLM workflows. Learn which method ensures GDPR compliance, protects against inference attacks, and maintains data utility for your AI applications.
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May, 6 2026

Accessibility Risks in AI-Generated Interfaces: WCAG and Real-World Failures

Emily Fies
8
Explore the hidden accessibility risks in AI-generated interfaces. Learn why WCAG compliance fails for dynamic AI content, the legal implications under ADA and EU AI Act, and practical steps to ensure inclusive design.

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