# The Future Isn't Model Agnostic

DevFeed: [The Future Isn't Model Agnostic](<https://devfeed.tech/articles/the-future-isn-t-model-agnostic-1720.md>)

Original publisher: [Read original article](<https://fly.io/blog/the-future-isn-t-model-agnostic/>)

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

Content type: opinion

Language: en

Sources: [The Fly Blog](<https://devfeed.tech/sources/the-fly-blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [cdn](<https://devfeed.tech/tags/cdn.md>), [claude](<https://devfeed.tech/tags/claude.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [close-to-users](<https://devfeed.tech/tags/close-to-users.md>), [deploy-app-servers](<https://devfeed.tech/tags/deploy-app-servers.md>), [docker](<https://devfeed.tech/tags/docker.md>), [elixir](<https://devfeed.tech/tags/elixir.md>), [fly](<https://devfeed.tech/tags/fly.md>), [fly-io](<https://devfeed.tech/tags/fly-io.md>), [heroku-alternative](<https://devfeed.tech/tags/heroku-alternative.md>), [heroku-competitor](<https://devfeed.tech/tags/heroku-competitor.md>), [hosting](<https://devfeed.tech/tags/hosting.md>), [i](<https://devfeed.tech/tags/i.md>), [llms](<https://devfeed.tech/tags/llms.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [model](<https://devfeed.tech/tags/model.md>), [networking](<https://devfeed.tech/tags/networking.md>), [postgresql-clusters](<https://devfeed.tech/tags/postgresql-clusters.md>), [product](<https://devfeed.tech/tags/product.md>), [qwen](<https://devfeed.tech/tags/qwen.md>), [servers](<https://devfeed.tech/tags/servers.md>)

## AI overview

The article argues that model agnosticism is a poor priority as LLM capabilities converge. It says durable AI products come from understanding a chosen model and designing reliable workflows and user experiences around it, using Claude Code's user loyalty despite Qwen 3 Coder's benchmark advantage as an example.

## Source excerpt

Your users don't care that your AI project is model agnostic. In my last project, I spent countless hours ensuring that the LLMs running my services could be swapped out as easily as possible. I couldn't touch a device with an internet connection without hearing about the latest benchmark-breaking model and it felt like a clear priority to ensure I could hot swap models with minimal collateral damage. So yeah. That was a waste of time. The hype around new model announcements feels more manufactured with each release. In reality, improvements are becoming incremental. As major providers converge on the same baseline, the days of one company holding a decisive lead are numbered. In a world of model parity, the differentiation moves entirely to the product layer. Winning isn't about ensuring you're using the best model, its about understanding your chosen model deeply enough to build experiences that feel magical. Knowing exactly how to prompt for consistency, which edge cases to avoid, and how to design workflows that play to your model's particular strengths Model agnosticism isn't just inefficient, it's misguided. Fact is, swapping out your model is not just changing an endpoint. It's rewriting prompts, rerunning evals, users telling you things just feel... different. And if you've won users on the way it feels to use your product, that last one is a really big deal. Model < Product Recently, something happened that fully solidified this idea in my head. Claude Code is winning among people building real things with AI. We even have evangelists in the Fly.io engineering team, and those guys are weird smart. Elsewhere, whole communities have formed to share and compare claude.md's and fight each other over which MCP servers are the coolest to use with Claude. Enter stage right, Qwen 3 Coder. It takes Claude to the cleaners in benchmarks. But the response from the Claude Code user base? A collective meh. This is nothing like 2024, when everyone would have dropped everyth