# AI coding assistants

Published articles for AI coding assistants.

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## 6 Lessons from LIVE coding interview at Data and AI company

DevFeed: [6 Lessons from LIVE coding interview at Data and AI company](<https://devfeed.tech/articles/6-lessons-from-live-coding-interview-at-data-and-ai-company-39790.md>)

Original publisher: [Read original article](<https://newsletter.bigtechcareers.com/p/6-lessons-from-live-coding-interview>)

Author: Prasad Rao

Published: 2026-05-14T15:02:20Z

Content type: article

Language: en

Sources: [Big Tech Careers](<https://devfeed.tech/sources/big-tech-careers.md>)

Topics: [coding](<https://devfeed.tech/topics/coding.md>), [ai-coding](<https://devfeed.tech/topics/ai-coding.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Tech Careers](<https://devfeed.tech/topics/tech-careers.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding-assistants](<https://devfeed.tech/tags/ai-coding-assistants.md>), [coding](<https://devfeed.tech/tags/coding.md>), [tech-careers](<https://devfeed.tech/tags/tech-careers.md>)

### AI overview

The article shares lessons from a mentee's live coding interview at a data and AI company. It argues that interviewers assess communication, problem-solving approach, behavior under pressure, and business reasoning alongside the code, especially as AI coding tools reduce the difficulty of producing working code.

### Source excerpt

Live Coding interviews are behavioural interviews

## AI-generated code shifts contributor value toward reliable pull-request delivery

DevFeed: [AI-generated code shifts contributor value toward reliable pull-request delivery](<https://devfeed.tech/articles/couriers-not-coders-35604.md>)

Original publisher: [Read original article](<https://www.yegor256.com/2026/05/03/no-mercy.html>)

Author: Yegor Bugayenko (yegor256@gmail.com)

Published: 2026-05-02T21:00:00Z

Content type: opinion

Language: en

Sources: [Yegor Bugayenko](<https://devfeed.tech/sources/yegor-bugayenko.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Pull Request](<https://devfeed.tech/topics/pull-request.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [trust](<https://devfeed.tech/topics/trust.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding-assistants](<https://devfeed.tech/tags/ai-coding-assistants.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [code-quality-standards](<https://devfeed.tech/tags/code-quality-standards.md>), [management](<https://devfeed.tech/tags/management.md>), [open-source-maintainership](<https://devfeed.tech/tags/open-source-maintainership.md>), [pull-request](<https://devfeed.tech/tags/pull-request.md>), [pull-request-review](<https://devfeed.tech/tags/pull-request-review.md>), [review](<https://devfeed.tech/tags/review.md>), [trust](<https://devfeed.tech/tags/trust.md>)

### AI overview

This opinion article argues that AI-generated code has reduced the value of coding itself and shifted contributor value toward reliable delivery. It emphasizes approved feature requests, focused and readable pull requests, clear descriptions, speed, communication, and willingness to rework submissions.

### Source excerpt

Now that AI codes for cents, contributors are paid for the delivery, not the code--so no mercy for sloppy pull requests anymore.

## AI Coding Best Practices for Today

DevFeed: [AI Coding Best Practices for Today](<https://devfeed.tech/articles/ai-coding-best-practices-for-today-37551.md>)

Original publisher: [Read original article](<https://colintheshots.com/writing/ai-coding-best-practices-for-today/>)

Published: 2026-02-25T21:59:05Z

Content type: tutorial

Language: en

Sources: [Colin The Shots](<https://devfeed.tech/sources/colin-the-shots.md>)

Topics: [ai-coding](<https://devfeed.tech/topics/ai-coding.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [coding](<https://devfeed.tech/topics/coding.md>), [GitHub Copilot](<https://devfeed.tech/topics/github-copilot.md>), [Claude](<https://devfeed.tech/topics/claude.md>), [cursor](<https://devfeed.tech/topics/cursor.md>), [Development](<https://devfeed.tech/topics/development.md>), [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [Code](<https://devfeed.tech/topics/code.md>), [Security](<https://devfeed.tech/topics/security.md>), [pair\_programming](<https://devfeed.tech/topics/pair-programming.md>), [Maintainability](<https://devfeed.tech/topics/maintainability.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [ai-coding-assistants](<https://devfeed.tech/tags/ai-coding-assistants.md>), [best-practices](<https://devfeed.tech/tags/best-practices.md>), [claude](<https://devfeed.tech/tags/claude.md>), [code](<https://devfeed.tech/tags/code.md>), [coding](<https://devfeed.tech/tags/coding.md>), [copilot](<https://devfeed.tech/tags/copilot.md>), [cursor](<https://devfeed.tech/tags/cursor.md>), [developers](<https://devfeed.tech/tags/developers.md>), [github-copilot](<https://devfeed.tech/tags/github-copilot.md>), [llms](<https://devfeed.tech/tags/llms.md>), [maintainability](<https://devfeed.tech/tags/maintainability.md>), [pair-programming](<https://devfeed.tech/tags/pair-programming.md>), [research](<https://devfeed.tech/tags/research.md>), [uncategorized](<https://devfeed.tech/tags/uncategorized.md>)

### AI overview

A practical guide to using AI coding assistants such as GitHub Copilot, Claude, and Cursor while managing risks in code quality, deprecated APIs, security, performance, and maintainability. It emphasizes human responsibility, reviewing all generated code, and verifying it with tests, linters, and personal judgment.

### Source excerpt

Why This Document Exists AI coding assistants like GitHub Copilot, Claude, Cursor, and others can significantly accelerate development. However, research shows they also introduce systematic risks:

## How a manager mindset shapes LLM-assisted coding

DevFeed: [How a manager mindset shapes LLM-assisted coding](<https://devfeed.tech/articles/how-much-of-a-manager-are-you-37186.md>)

Original publisher: [Read original article](<https://calv.info/how-much-of-a-manager>)

Author: Calvin French-Owen

Published: 2025-02-11T12:00:00Z

Content type: opinion

Language: en

Sources: [Calvin French-Owen](<https://devfeed.tech/sources/calvin-french-owen.md>)

Topics: [Vibe coding](<https://devfeed.tech/topics/vibe-coding.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [cursor](<https://devfeed.tech/topics/cursor.md>), [engineering-leadership](<https://devfeed.tech/topics/engineering-leadership.md>), [coding](<https://devfeed.tech/topics/coding.md>)

Tags: [ai-coding-assistants](<https://devfeed.tech/tags/ai-coding-assistants.md>), [cursor](<https://devfeed.tech/tags/cursor.md>), [engineering-leadership](<https://devfeed.tech/tags/engineering-leadership.md>), [opinion](<https://devfeed.tech/tags/opinion.md>), [vibe-coding](<https://devfeed.tech/tags/vibe-coding.md>)

### AI overview

The author examines why engineers differ in their views of LLM-generated code. Drawing on experiments with vibe coding and AI coding assistants, the article argues that success depends partly on how engineers augment themselves with LLMs and how much of the work involves defining goals, guardrails, and desired outcomes rather than implementing technical details.

### Source excerpt

There's a lot of debate around how much 'good code' LLMs can write for you. Some engineers claim coding with LLMs is amazing, while others think they are trash. Ultimately, it depends on how much of a manager you are.