Perplexity says two engineers and hundreds of AI agents built a DynamoDB replacement in two months. The useful lesson is not to copy it, but to rethink build versus buy without forgetting operations.
AI coding agents can make demos look effortless. The harder question for serious teams is whether the workflow can survive ownership, review, security, operations, and product change.
AI coding agents do not remove the need for senior engineering judgement. They move it into scoping, orchestration, review, architecture, and product control.
AI coding agents can increase code volume quickly. Serious teams should measure review, integration, reliability, maintainability, and shipped product value instead.
AI builders such as Replit Agent, Lovable, Devin, Cursor, and Claude Code can create convincing software quickly. The hard decision is when a prototype is ready to become a serious product.
Coding agents can create more implementation throughput. The serious question for product teams is whether planning, review, integration, and architecture can keep up.