Sign in Get started

Publication // Intelligence

Hands On "AI Engineering"

Technology · English

Hands On "AI Engineering" publishes a technical series on building and evaluating AI reliability pipelines, covering topics like RAG evaluation, golden dataset construction, and pipeline orchestration. The content is intended for engineers and developers working on AI safety, testing, and system integration.

Audience

43K

subscribers

Momentum

+2%

recent change

Sponsors detected

0

in recent articles

Recent content

Lesson 16: The Eval Case Intake Process

Lesson 15: Writing Your First Golden Eval Cases

Lesson 14: Designing the Golden Dataset Schema

Lesson 13: Why AI Outputs Need Eval Cases, Not Unit Tests

Lesson 12: Baseline Measurement — How the System Fails Today

Lesson 11: End-to-End Testing Across All Components

Lesson 10: Wiring the Full Pipeline Together

Lesson 9: Building the ResponseFormatter

Lesson 8: Building the CriticAgent

Lesson 7: Building the SynthesisAgent

Lesson 6: Building the QueryUnderstandingAgent

Lesson 5: Reranking — Improving on Raw Retrieval Order

Topics

AI reliability engineering Retrieval precision Entity extraction Software testing Data validation

Audience signals

AI engineers ML engineers software engineers Python developers software developers AI reliability engineers Technical founders RAG system architects

Sponsors

No sponsors detected yet.