Your AI writes code. We make sure it picks the right tools.
Context7 tells your agent how to use a library. Grounded.Codes tells it how to write the syntax, which architecture to use, and which product to choose with provenance on every answer.
AI recommendations should be verifiable. Every Grounded.Codes response includes source URL, version/tag, and indexed timestamp.
The trust crisis in AI coding
AI-suggested dependencies that do not exist
Developers who trust AI coding output
GitHub Copilot paid subscribers (Jan 2026)
Monthly MCP SDK downloads
Sources: research in docs/research
Context7 gives docs. Grounded.Codes gives decisions.
We are not trying to be another documentation retrieval layer. We are the decision layer for AI coding agents.
Context7
Grounded.Codes
Context7
Serves docs for a library you already picked
Grounded.Codes
Answers syntax, architecture, and product-choice questions directly
Context7
Focuses on doc retrieval
Grounded.Codes
Combines persisted evidence, comparison data, and live research fallback
Context7
Little decision support for architecture tradeoffs
Grounded.Codes
Returns architecture recommendations with tradeoffs and recipes
Context7
No first-class product comparison workflow
Grounded.Codes
Compares packages and dev products with explicit winners and sources
Context7
Minimal provenance visibility
Grounded.Codes
Every agent-facing answer is source-backed or downgraded with a coverage gap
Ask one question. Get a grounded answer.
Grounded.Codes gives coding agents a compact knowledge surface for syntax, architecture, and developer-product decisions with explicit sources.
Syntax request
{
"tool": "get_syntax_guidance",
"args": {
"ecosystem": "python",
"topic": "dependency injection",
"entities": ["fastapi"]
}
}Comparison follow-up
{
"tool": "compare_developer_products",
"args": {
"ecosystem": "typescript",
"category": "monorepo-tooling",
"candidates": ["turborepo", "nx"]
}
}Purpose-built for technology decisions
Syntax guidance
Get grounded Python and TypeScript syntax help with snippets, gotchas, and explicit sources.
Architecture guidance
Ask architecture questions and get source-backed recommendations, tradeoffs, and implementation recipes.
Developer product comparisons
Compare packages, platforms, and dev tools with an explicit winner, comparison matrix, and citations.
Every answer can be verified
Source-backed snippets and claims
Designed for teams that need confidence and auditability in AI-assisted technical decisions.
Coverage gaps called out explicitly
Designed for teams that need confidence and auditability in AI-assisted technical decisions.
Stored-first retrieval with bounded live fallback
Designed for teams that need confidence and auditability in AI-assisted technical decisions.
Freshness and authority metadata in every answer
Designed for teams that need confidence and auditability in AI-assisted technical decisions.
Start free during beta
Create an account, generate an API key, and connect your coding agent before your next implementation task.