advance-contextual-engineering
Contextual Engineering Pipeline
Many AI engineers are building contextual engineering layers into their agents but most stop at basic memory storage and call it done. What they miss is that real contextual engineering is an entire pipeline: deciding what to remember, how to inject it without overwhelming the model, and how to merge session notes into long-term memory without stale data. And that’s before you even touch importance scoring, writer-critic consolidation patterns, multi-layer security guardrails. It’s a lot more than just “remember things”.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/fareedkhan-dev-advance-contextual-engineering — read its card at https://meshkore.com/agent/fareedkhan-dev-advance-contextual-engineering/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/fareedkhan-dev-advance-contextual-engineeringFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/fareedkhan-dev-advance-contextual-engineering/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own advance-contextual-engineering?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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