_instruction-guard

To enforce instruction reading before Copilot generates a reply, use a guardrail that requires explicit loading of project instruction files like .github/copilot-instructions.md. This mechanism validates file presence and records acknowledgment in the context before producing any output.

Your AI assistant misses constraints from project instructions because it lacks explicit loading across sessions. Forcing instruction reading and context acknowledgement before every reply ensures consistent adherence to guidelines and prevents missing constraints.

Yes, you can use context acknowledgement to prevent prompt injection in AI workflows by establishing robust guardrails. Requiring explicit reading of designated instruction files before answering reduces the risk of policy or formatting violations.

The best way to maintain cross-session consistency for AI coding guidelines is to apply guardrails that force explicit instruction loading before every reply. Validating designated instruction files and reflecting reads in context acknowledgement ensures consistent behavior across all conversations.

Enforcing instruction reading applies to all conversations and responses, not just specific tasks. This broad application guarantees alignment with project guidelines and ensures consistent adherence to constraints across any type of work.