# Building AI Systems

Building AI systems is the engineering practice of creating production-grade software systems that integrate artificial intelligence with data infrastructure, application workflows, deployment operations, and security controls.

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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

## What You Don't See: My Engineering Process Behind Each Article

DevFeed: [What You Don't See: My Engineering Process Behind Each Article](<https://devfeed.tech/articles/what-you-don-t-see-my-engineering-process-behind-each-article-35027.md>)

Original publisher: [Read original article](<https://read.theaimerge.com/p/what-you-dont-see-my-engineering>)

Author: Alex Razvant

Published: 2025-11-01T14:02:32Z

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 Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [Tooling](<https://devfeed.tech/topics/tooling.md>), [Notion](<https://devfeed.tech/topics/notion.md>), [Obsidian](<https://devfeed.tech/topics/obsidian-md.md>), [Markdown](<https://devfeed.tech/topics/markdown.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [article](<https://devfeed.tech/tags/article.md>), [build](<https://devfeed.tech/tags/build.md>), [design](<https://devfeed.tech/tags/design.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [files](<https://devfeed.tech/tags/files.md>), [markdown](<https://devfeed.tech/tags/markdown.md>), [notes](<https://devfeed.tech/tags/notes.md>), [obsidian](<https://devfeed.tech/tags/obsidian.md>), [system-design](<https://devfeed.tech/tags/system-design.md>)

### AI overview

The article explains the behind-the-scenes process of creating a practical AI/ML engineering newsletter. It describes capturing ideas, collecting notes and references, grouping them into topics, planning structure and visuals, building and revising projects, and writing about the results. It also emphasizes that engineering involves substantial reading, writing, design, and communication in addition to coding.

### Source excerpt

My Working Desk. How I capture ideas, sketch System Design Diagrams, Write and Build AI Projects for this newsletter.

## Building long-running interactive MCP tools with Temporal

DevFeed: [Building long-running interactive MCP tools with Temporal](<https://devfeed.tech/articles/building-long-running-interactive-mcp-tools-with-temporal-35746.md>)

Original publisher: [Read original article](<https://temporal.io/blog/building-long-running-interactive-mcp-tools-temporal>)

Author: Joshua Smith

Published: 2025-08-21T00:00:00Z

Content type: tutorial

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Building AI Systems](<https://devfeed.tech/topics/building-ai-systems.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [durability](<https://devfeed.tech/tags/durability.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [interactive](<https://devfeed.tech/tags/interactive.md>), [long-running](<https://devfeed.tech/tags/long-running.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

This tutorial explains how to build long-running, interactive MCP tools with Temporal Workflows. It describes using MCP to trigger, monitor, and interact with durable workflows, including workflows that wait for human approval, while Temporal handles orchestration, memory, timeouts, and retries.

### Source excerpt

Learn how to interact with a long-running tool workflow using MCP from one of our Solutions Architects, Josh Smith.