Context-aware coding agents
Give your coding agents the intent and rules behind your codebase, not just a prompt.
Department
Engineering
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A coding agent executes a given task: it reads the prompt, the open files, and whatever repository it can see, then writes code. What it produces is only as good as the context it has. Design docs hold the part that a prompt often leaves out: why a system is built the way it is, who the user is, and what a given instruction was meant to achieve. Secure-development policies hold the rules the code has to follow: how secrets are handled, which patterns are allowed, which dependencies are not.
Coding on the prompt alone
A coding agent asked to fix or improve something acts on the prompt’s wording, not on underlying intent. It cannot see why the architecture is shaped the way it is, who the customer is, or what a piece of code was meant to protect, so it treats a descriptive task as the definition of the whole problem. The result is code that reads as correct but fails to serve the purpose it was meant for: it satisfies the prompt while reintroducing a decision the team deliberately avoided, or breaks a security rule.
Qontext as the coding agent's design context
In Qontext, design docs and secure-development policies live in the context repository as versioned files. A coding agent such as Codex, Cursor, or Claude connects as a Client over MCP at https://api.qontext.ai/mcpand reads that context while it works: the intent behind an architecture decision, who the code serves, and the security rules it must hold to. Because the repository is permission-aware, each Client only reaches the context its access controls allow, and retrieval logs show which files informed a change. The agent stops inferring intent and starts coding based on the same design your team does.
Get started
Save your design docs and secure-development policies into the context repository, or Sync them in from a Source such as Notion or Google Drive.
Connect your coding agent as a Client over MCP at
https://api.qontext.ai/mcp.Give the agent a task; it reads the design intent and the rules from Qontext before it writes.