# AI Coding Tip 029 - Stop Using One Model for Everything

DevFeed: [AI Coding Tip 029 - Stop Using One Model for Everything](<https://devfeed.tech/articles/ai-coding-tip-029-stop-using-one-model-for-everything-18219.md>)

Original publisher: [Read original article](<https://maximilianocontieri.com/ai-coding-tip-029-stop-using-one-model-for-everything>)

Author: Maxi Contieri

Published: 2026-07-26T15:08:02Z

Content type: opinion

Language: en

Sources: [Maximiliano Contieri - Software Design](<https://devfeed.tech/sources/maximiliano-contieri-software-design.md>)

Topics: [coding](<https://devfeed.tech/topics/coding.md>), [ai-coding](<https://devfeed.tech/topics/ai-coding.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [Test-driven development](<https://devfeed.tech/topics/tdd.md>)

Tags: [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [coding](<https://devfeed.tech/tags/coding.md>), [cost](<https://devfeed.tech/tags/cost.md>), [review](<https://devfeed.tech/tags/review.md>), [scope](<https://devfeed.tech/tags/scope.md>), [tdd](<https://devfeed.tech/tags/tdd.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

The article argues that AI coding pipelines should assign different models to planning, coding, reviewing, and testing. It recommends using fresh context, automated test harnesses, independent reviewers, model rotation, and separate models for TDD stages to reduce shared blind spots, vendor dependence, and missed edge cases.

## Source excerpt

TL;DR: Assign a different model to each pipeline stage since none excels at planning, coding, reviewing, and testing alike. Common Mistake ❌ You open one chat with your favorite model and ask it to p