A fair question. AGENTS.md files work, up to a point. Here's an honest look at what they do well, where they break down at team scale, and what Straion adds on top.
Straion ingests your existing AGENTS.md files, so nothing you've written is lost. After that you can delete them: Straion becomes the single source of truth for your rules, and you stop burning context on a static file the agent mostly ignores.
"AGENTS.md is a file. Straion is a system."
A markdown file works until you have more than one repo, more than one tool, and more than a handful of engineers. Straion adds the layer that decides which rules matter for this task, and validates the AI's plan against them before a single line of code is written.
When an AGENTS.md is loaded, the whole file lands in context and the agent sorts out what matters after the fact. Most of it is noise for any given task, and research shows that hurts results and inflates cost.
One team's AGENTS.md becomes five repos' out-of-sync copies. New developers inherit whatever was current when someone last committed. There's no versioning, no central update, no visibility into what's actually applied.
An AGENTS.md can carry your rules into context, but it can't verify the AI's plan follows them. Straion catches violations at the plan stage, when fixing them costs nothing.
You don't start over. Straion ingests your existing markdown and turns each instruction into a structured rule it can scope, version, and enforce.
Before · your AGENTS.md
# AGENTS.md
## Backend
- All endpoints that return user data must require authentication.
(one repo · read sometimes · enforced never)
After · Straion rule
collection: Backend API standards
statement: MUST require authentication on every endpoint that returns user data.
tags: backend, security, auth
languages: typescript, python
frameworks: express, fastapi
repository: github.com/acme/api
updated by: agent:claude-import-rules
rev: 1
✓ versioned · ✓ visible · ✓ enforced at the plan stage
Straion ingests your existing markdown guidance and turns it into managed, scalable governance for Claude Code, Cursor, GitHub Copilot, and beyond. Import what you already wrote, then retire the files. Straion becomes the single source of truth your team manages from one place.
Straion reads the task, the file, and the repo, then loads only the rules that apply. A static AGENTS.md hands the agent every rule on every task, relevant or not, and the noise costs you accuracy and tokens.
Before the AI writes a line, Straion checks its proposed plan against your rules. A markdown file can sit in context and still be ignored. Straion surfaces the violation at the plan stage, when it costs zero tokens and zero review cycles to fix.
Write a standard once and every developer, every repo, and every AI session pulls from the same source. No more copy-paste drift across a dozen AGENTS.md files in a dozen repos.
Your AGENTS.md, CLAUDE.md, and .cursorrules import directly into Straion. The work you've already done becomes the foundation, now versioned and centrally managed.
■ Related comparison
If you've built custom skills in Claude Code or Cursor, see what Straion adds on top of them.
■ The research
The case against static context files is now backed by data. More rules and bigger context windows don't make agents follow your standards. Relevance does.
Research
ETH Zurich researchers found LLM-generated context files reduced agent resolve rates by ~3% and inflated cost by over 20%. Static files have no concept of relevance.
Read the research →
Research
Across 1,281 agent runs in 40+ large codebases, more context degraded performance. Bigger windows don't fix relevance, selecting the right rules does.
Read the research →
Import your existing AGENTS.md files. See what Straion adds. No credit card required.
Works with Claude Code, GitHub Copilot & Cursor.
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