# Building AI Systems

Published articles for Building AI Systems.

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## What Practical Skills Do AI Engineers Need?

DevFeed: [What Practical Skills Do AI Engineers Need?](<https://devfeed.tech/articles/i-designed-an-ai-engineer-interview-most-developers-failed-32367.md>)

Original publisher: [Read original article](<https://brianjenney.substack.com/p/i-designed-an-ai-engineer-interview>)

Author: Brian Jenney

Published: 2026-03-14T15:44:42Z

Content type: opinion

Language: en

Sources: [Brian Jenney](<https://devfeed.tech/sources/brian-jenney.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Building AI Systems](<https://devfeed.tech/topics/building-ai-systems.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Full-Stack](<https://devfeed.tech/topics/full-stack.md>), [Web app](<https://devfeed.tech/topics/webapp.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-engineer](<https://devfeed.tech/tags/ai-engineer.md>), [building-ai-systems](<https://devfeed.tech/tags/building-ai-systems.md>), [full-stack](<https://devfeed.tech/tags/full-stack.md>), [rag](<https://devfeed.tech/tags/rag.md>), [software](<https://devfeed.tech/tags/software.md>)

### AI overview

The author reflects on designing interviews for an AI engineering replacement role and argues that the job is mainly about integrating AI into practical software. The article emphasizes full-stack development, agents, workflows, RAG pipelines, vector databases, and evaluation systems rather than model training or research.

### Source excerpt

Last year I quit an AI startup.

## Last article of 2025 - A Directional Update

DevFeed: [Last article of 2025 - A Directional Update](<https://devfeed.tech/articles/last-article-of-2025-a-directional-update-35016.md>)

Original publisher: [Read original article](<https://read.theaimerge.com/p/last-article-of-2025-a-directional>)

Author: Alex Razvant

Published: 2025-12-27T14:35:36Z

Content type: article

Language: en

Sources: [Neural Bits](<https://devfeed.tech/sources/neural-bits.md>)

Topics: [Building AI Systems](<https://devfeed.tech/topics/building-ai-systems.md>), [ai and ml](<https://devfeed.tech/topics/ai-and-ml.md>), [Computer vision](<https://devfeed.tech/topics/computer-vision.md>), [Code](<https://devfeed.tech/topics/code.md>), [C](<https://devfeed.tech/topics/c.md>), [C++](<https://devfeed.tech/topics/c-plus-plus.md>), [Python](<https://devfeed.tech/topics/python.md>), [Objective-C](<https://devfeed.tech/topics/objective-c.md>), [Swift](<https://devfeed.tech/topics/swift.md>), [iOS](<https://devfeed.tech/topics/ios.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [ai](<https://devfeed.tech/tags/ai.md>), [applications](<https://devfeed.tech/tags/applications.md>), [article](<https://devfeed.tech/tags/article.md>), [asus](<https://devfeed.tech/tags/asus.md>), [building-ai-systems](<https://devfeed.tech/tags/building-ai-systems.md>), [c-plus-plus](<https://devfeed.tech/tags/c-plus-plus.md>), [code](<https://devfeed.tech/tags/code.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [ios](<https://devfeed.tech/tags/ios.md>), [mac](<https://devfeed.tech/tags/mac.md>), [objective-c](<https://devfeed.tech/tags/objective-c.md>), [python](<https://devfeed.tech/tags/python.md>), [swift](<https://devfeed.tech/tags/swift.md>), [update](<https://devfeed.tech/tags/update.md>)

### AI overview

An end-of-year reflection on how the author's newsletter will change in 2026. The author connects early work and study choices with a gradual move into programming, AI, machine learning, and building AI systems, emphasizing that direction mattered more than speed.

### Source excerpt

Reflecting on 2025, and how this newsletter is changing going into 2026

## Ep. 4: Streamlining Prompt Engineering and Context Handling in Generative AI

DevFeed: [Ep. 4: Streamlining Prompt Engineering and Context Handling in Generative AI](<https://devfeed.tech/articles/ep-4-streamlining-prompt-engineering-and-context-handling-in-generative-ai-22255.md>)

Original publisher: [Read original article](<https://www.ardanlabs.com/blog/2024/07/streamlining-prompt-engineering-and-context-handling-in-generative-ai-ep4.html>)

Published: 2024-08-08T00:00:00Z

Content type: tutorial

Language: en

Sources: [William Kennedy](<https://devfeed.tech/sources/william-kennedy.md>)

Topics: [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [context](<https://devfeed.tech/topics/context.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-case-studies](<https://devfeed.tech/tags/ai-case-studies.md>), [ai-command-line-interfaces](<https://devfeed.tech/tags/ai-command-line-interfaces.md>), [ai-context-management](<https://devfeed.tech/tags/ai-context-management.md>), [ai-context-switching](<https://devfeed.tech/tags/ai-context-switching.md>), [ai-contextual-responses](<https://devfeed.tech/tags/ai-contextual-responses.md>), [ai-development-techniques](<https://devfeed.tech/tags/ai-development-techniques.md>), [ai-input-loops](<https://devfeed.tech/tags/ai-input-loops.md>), [ai-integration-strategies](<https://devfeed.tech/tags/ai-integration-strategies.md>), [ai-model-optimization](<https://devfeed.tech/tags/ai-model-optimization.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [ai-prompt-templates](<https://devfeed.tech/tags/ai-prompt-templates.md>), [building-ai-systems](<https://devfeed.tech/tags/building-ai-systems.md>), [command-line](<https://devfeed.tech/tags/command-line.md>), [context](<https://devfeed.tech/tags/context.md>), [context-aware-ai](<https://devfeed.tech/tags/context-aware-ai.md>), [dynamic-prompt-templating](<https://devfeed.tech/tags/dynamic-prompt-templating.md>), [efficient-ai-interactions](<https://devfeed.tech/tags/efficient-ai-interactions.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [generative](<https://devfeed.tech/tags/generative.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [interactive-ai-systems](<https://devfeed.tech/tags/interactive-ai-systems.md>), [intro-to-generative-ai-series](<https://devfeed.tech/tags/intro-to-generative-ai-series.md>), [managing-multiple-contexts-in-ai](<https://devfeed.tech/tags/managing-multiple-contexts-in-ai.md>), [prompt](<https://devfeed.tech/tags/prompt.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>), [real-time-ai-interactions](<https://devfeed.tech/tags/real-time-ai-interactions.md>), [switching](<https://devfeed.tech/tags/switching.md>), [terminal-input-in-ai](<https://devfeed.tech/tags/terminal-input-in-ai.md>)

### AI overview

Episode 4 of an introductory Generative AI series explains prompt templating, context management, and interactive AI systems. It demonstrates using dynamic prompt templates, incorporating context from files, switching between contexts, and accepting terminal input and command-line arguments.

### Source excerpt

Introduction: Welcome to Episode 4 of our Intro to Generative AI series! In this episode, Daniel dives into the essential technique of prompt engineering, focusing on creating dynamic and interactive prompts to enhance the capabilities of AI models. Prompt Templating: Techniques for creating and using dynamic prompt templates to enhance AI interactions. Context Management: Strategies for integrating and switching between multiple contexts in AI applications. Interactive Systems: Building AI systems that respond to user inputs in real-time, using terminal input loops and command-line arguments.