This technical report examines AI-assisted software development in late 2025 through a systematic evaluation of six major platforms (Roo Code, Windsurf, Claude Code, Codex, Grok 4.1, Cursor, Copilot) and synthesis of 43 sources, including vendor benchmarks, community reports, and independent analyses. The analysis identifies genuine productivity improvements when organizational governance aligns with tool capabilities, documents the problematic spread of "vibe coding" (Karpathy's term for iterative, prompt-driven development) from prototyping into production environments, and examines systemic vulnerabilities stemming from platform concentration and skill erosion. The October 2025 Azure/Copilot outage demonstrated correlated failure modes across the ecosystem, while the emerging "Hollow Senior" phenomenon shows engineers developing AI orchestration fluency at the expense of losing debugging fundamentals. Original contributions include: (1) "Archaeology Sprints" methodology for reverse-engineering and documenting AI-generated systems, (2) four-factor architectural risk model distinguishing appropriate from pathological AI-assisted development, (3) boundary-based framework for evaluating when vibe coding serves versus undermines engineering goals, (4) implementation-ready governance patterns with checklists for engineering leadership. Written for CTOs and VPs of Engineering navigating the transition to AI-augmented development. Based on 8,440 words of analysis, balancing capability assessment with risk evaluation.