Aviator

Evidence (2)

• 5The New Stack·8/31/2026framework_update
  Why coding agents need a context development lifecycle

  The article argues that skills, prompt instructions, agent configurations, and rules files should be treated as software artifacts with their own development lifecycle. It proposes a Context Development Lifecycle (CDLC) with four phases: generate, evaluate, distribute, and observe, to improve reliability and reduce regressions in coding agents.

• 5The New Stack·6/26/2026product_launch
  A registry for catching AI-generated code slop

  The article argues that AI coding assistants can scale subtle, plausible mistakes across codebases, so teams need verification systems beyond prompt instructions. It describes an intent-driven approach that uses separate checks, including user criteria and reusable invariants, to validate code against agreed requirements.