# contributed-octopus-deploy

Published articles for contributed-octopus-deploy.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Study: Developers are addicted to AI, and managers are making it worse

DevFeed: [Study: Developers are addicted to AI, and managers are making it worse](<https://devfeed.tech/articles/study-developers-are-addicted-to-ai-and-managers-are-making-it-worse-42141.md>)

Original publisher: [Read original article](<https://thenewstack.io/study-developers-are-addicted/>)

Author: Steve Fenton

Published: 2026-09-17T15:12:36Z

Content type: article

Language: en

Sources: [The New Stack](<https://devfeed.tech/sources/the-new-stack.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [Claude](<https://devfeed.tech/topics/claude.md>), [codex](<https://devfeed.tech/topics/codex.md>), [GitHub Copilot](<https://devfeed.tech/topics/github-copilot.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [ai-coding-tools](<https://devfeed.tech/tags/ai-coding-tools.md>), [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [ai-operations](<https://devfeed.tech/tags/ai-operations.md>), [ai-strategy](<https://devfeed.tech/tags/ai-strategy.md>), [claude](<https://devfeed.tech/tags/claude.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [codex](<https://devfeed.tech/tags/codex.md>), [contributed-octopus-deploy](<https://devfeed.tech/tags/contributed-octopus-deploy.md>), [copilot](<https://devfeed.tech/tags/copilot.md>), [developers](<https://devfeed.tech/tags/developers.md>), [gemini](<https://devfeed.tech/tags/gemini.md>)

### AI overview

The article discusses findings from an AI Coding Addiction Report based on more than 300 developer responses. It argues that AI coding tools may encourage dependence and prolonged use, and that managers may reward heavier usage. The supplied text also describes reported differences among users of Claude Code, Google Gemini, OpenAI Codex, and GitHub Copilot.

### Source excerpt

AI is addictive, and managers are rewarding those who use it the most (even though they are shipping stuff they The post Study: Developers are addicted to AI, and managers are making it worse appeared first on The New Stack.

## Your AI coding spend bought 25% more output. Duplication rose 81%.

DevFeed: [Your AI coding spend bought 25% more output. Duplication rose 81%.](<https://devfeed.tech/articles/your-ai-coding-spend-bought-25-more-output-duplication-rose-81-21598.md>)

Original publisher: [Read original article](<https://thenewstack.io/ai-coding-duplication-rose/>)

Author: Steve Fenton

Published: 2026-09-14T14:39:14Z

Content type: article

Language: en

Sources: [The New Stack](<https://devfeed.tech/sources/the-new-stack.md>)

Topics: [ai-coding](<https://devfeed.tech/topics/ai-coding.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [cursor](<https://devfeed.tech/topics/cursor.md>), [datasets](<https://devfeed.tech/topics/datasets.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [ai-impact](<https://devfeed.tech/tags/ai-impact.md>), [ai-operations](<https://devfeed.tech/tags/ai-operations.md>), [ai-strategy](<https://devfeed.tech/tags/ai-strategy.md>), [ai-tools](<https://devfeed.tech/tags/ai-tools.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [coding](<https://devfeed.tech/tags/coding.md>), [contributed](<https://devfeed.tech/tags/contributed.md>), [contributed-octopus-deploy](<https://devfeed.tech/tags/contributed-octopus-deploy.md>), [cursor](<https://devfeed.tech/tags/cursor.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [software-development](<https://devfeed.tech/tags/software-development.md>)

### AI overview

The article examines the return on investment from AI coding tools. It reports that heavy users gained 25% over their previous velocity, while code duplication rose 81%, and argues that output measures such as lines of code, pull requests, and feature counts do not reliably represent business value.

### Source excerpt

Since they arrived on the scene, a great swathe of the software industry has pinned its hopes on AI tools, The post Your AI coding spend bought 25% more output. Duplication rose 81%. appeared first on The New Stack.