Where this term appears in the channel In the channel's captured material, feature parity shows up in the context of rebuilding existing software into a new form — most notably in the live build where a traditional email app is converted into agent-native software [^aa20e0e7-6099-5c68-b15b-77371591faf1]. Why it matters in an agent-native rebuild When an existing app is being rearchitected, achieving feature parity is the benchmark for a credible transition: the new agent-native version has to preserve what the original product already does before it can add new, agent-driven capabilities on top. Treating parity as an explicit goal keeps the rebuild honest — it distinguishes a genuine conversion of the product from a fresh prototype that merely borrows its name. That framing is what makes the live build useful: the session walks a real email app through the compound-engineering loop (plan → work → review → triage → compound) [^aa20e0e7-6099-5c68-b15b-77371591faf1] rather than starting from a blank slate, so parity with the original app is the natural standard the work is measured against. - Feature parity means the new implementation offers the same feature set as the system it replaces. - It is the standard a rebuild is measured against when converting an existing app into agent-native software. - The compound-engineering cycle (plan → work → review → triage → compound) is the workflow used to drive the rebuilt version toward that standard.