"Yet even as tools evolved, "vibe coding" (iterating with AI until the code works, without deliberate upfront planning) interactions with AI remained largely instructional in nature, one prompt at a time. The implementation itself served as context for further steering. Plan mode (where AI drafts an execution plan for human review before writing any code) marked a major evolution in AI coding that enabled early identification of intent alignment issues."
"With uninterrupted agent execution increasingly replacing interactive prompting, intent articulation becomes even more critical to using coding agents effectively. While Spec-Driven Development (SDD) helps engineer context effectively, at enterprise scale current SDD tools have several gaps that need to be understood. In the short term, SDD adoption requires integration with existing workflows, support for brownfield projects (existing codebases without specifications), and also the ability to progressively enable sophisticated techniques."
Uninterrupted agent execution is replacing interactive prompting, making explicit intent articulation critical for successful use of coding agents. Spec-Driven Development (SDD) provides a means to engineer context and align agents with human intent. Current SDD tools have gaps at enterprise scale, including integration challenges, lack of brownfield project support, and limited progressive enablement of advanced techniques. Short-term adoption requires integrating SDD with existing workflows and supporting legacy codebases without specifications. Long-term adoption will shift many roles toward review-centric work and demands intuitive practices for managing context and feedback loops. Effective SDD adoption also enhances cross-stakeholder collaboration beyond purely technical benefits.
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