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https://blog.scottlogic.com/2025/04/01/making-sense-of-the-ai-developer-tools-ecosystem.html

Making Sense of the AI Developer Tools Ecosystem

The AI developer tooling landscape has rapidly expanded from simple autocomplete to a complex ecosystem of assistants, agents, and AI-first environments. In this post, I propose a practical classification based on how AI is positioned within your workflow—from



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Making Sense of the AI Developer Tools Ecosystem

https://blog.scottlogic.com/2025/04/01/making-sense-of-the-ai-developer-tools-ecosystem.html

The AI developer tooling landscape has rapidly expanded from simple autocomplete to a complex ecosystem of assistants, agents, and AI-first environments. In this post, I propose a practical classification based on how AI is positioned within your workflow—from



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https://blog.scottlogic.com/2025/04/01/making-sense-of-the-ai-developer-tools-ecosystem.html

Making Sense of the AI Developer Tools Ecosystem

The AI developer tooling landscape has rapidly expanded from simple autocomplete to a complex ecosystem of assistants, agents, and AI-first environments. In this post, I propose a practical classification based on how AI is positioned within your workflow—from

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      The AI developer tooling landscape has rapidly expanded from simple autocomplete to a complex ecosystem of assistants, agents, and AI-first environments. In this post, I propose a practical classification based on how AI is positioned within your workflow—from
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      The AI developer tooling landscape has rapidly expanded from simple autocomplete to a complex ecosystem of assistants, agents, and AI-first environments. In this post, I propose a practical classification based on how AI is positioned within your workflow—from "arm’s length" tools like ChatGPT to fully "AI-first" environments like Cursor.
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