๐ช๐๐ฌ ๐๐๐ง๐ง๐๐ฅ ๐๐ข๐๐ฆ ๐ช๐ข๐ก'๐ง ๐๐๐ซ ๐๐ ๐๐๐๐๐จ๐๐๐ก๐๐ง๐๐ข๐ก๐ฆ
A friend spent six hours debugging a Stripe integration. He used Cursor and Claude 3.5. He used great documentation. The AI kept adding a header called X-Stripe-Connect-Signature. This header does not exist. Stripe uses Stripe-Signature. The AI invented the wrong header.
Most teams think documentation is the problem. They rewrite pages. They add code samples. They use new frameworks. The hallucinations continue.
The diagnosis is wrong. Hallucinations are a structure problem. AI models do not read like humans. They do not see layouts or sidebars. They see a flat bag of text. They fill in gaps based on patterns.
You need an interface, not a file. Use the Model Context Protocol (MCP). MCP gives agents tools. Agents call specific functions like get_endpoint. They get typed data. They get the right version.
The AI stack is changing.
- Retrieval moves from vector DBs to context protocols.
- Docs move from marketing pages to programmable infrastructure.
- Agents move from demos to real workflows.
The next moat is structured context. Do these five things.
- Watch your agent read your docs.
- Find three common hallucinations.
- Use a tool instead of retrieval for those questions.
- Build a structured layer on top of your docs.
- Track agent accuracy as a product metric.
You do not need to rewrite your prose. You need to fix your infrastructure.
Source: https://dev.to/gautammanak1/why-better-documentation-wont-fix-ai-hallucinations-3oo0
Optional learning community: https://t.me/GyaanSetuAi