We track which developer tools AI models pick across a frozen panel of vibe-coding prompts at every level, from beginners to expert engineers.
“Build a production-ready multi-tenant CRM with strict tenant isolation, team memberships, role-based permissions, contacts, companies, pipelines, tasks, activity history, email workflows, reporting, and external API access. Define data boundaries for tenant-scoped records, integration credentials, event logs, and reporting aggregates. Include audit logs for record and permission changes, resilient processing for outbound email and integration jobs, observability for sync failures, rate limiting and access controls for public APIs, and a schema evolution strategy that preserves tenant data integrity and historical analytics.”
Top recommendations
“Build a production-ready project management platform with workspace isolation, board and task permissions, real-time collaborative updates, attachments, comments, and notification workflows. Define data models for memberships, projects, boards, lists, tasks, comments, attachments, and activity events. Address optimistic and server-authoritative updates for concurrent edits, auditability for task and permission changes, durable event processing for notifications, observability for sync failures, and resilience when attachment uploads or background processing jobs fail.”
Top recommendations
“Build a production-grade AI revenue operations copilot that ingests CRM, billing, and product telemetry through APIs, stores normalized account state, and generates account summaries, risk flags, and recommended next actions for operators. Define explicit data models for source-sync jobs, account timelines, generated recommendations, operator feedback, and downstream analytics. Require hosted deployment and analytics, but also a dedicated coding-agent workflow for the team evolving prompts, tools, and orchestration logic. Add observability for prompt versions, tool-call traces, latency, and failure hotspots, and include evaluation pipelines that measure recommendation quality, hallucination risk, and regression impact before releases are promoted.”
Top recommendations
“Build a production-ready restaurant reservation platform with guest booking, waitlists, staff scheduling views, and communications around confirmations, reminders, and cancellations. Define explicit data models for guests, reservations, seating inventory, service windows, waitlist entries, and communication events. Enforce role-based access for hosts, managers, and administrators. Include safeguards against double-booking, reliable promotion of waitlisted guests, observability for confirmation and reminder delivery, audit logs for staff reservation overrides, and recovery behavior when notification or scheduling jobs fail.”
Top recommendations
“Define a production-grade AI-assisted engineering workflow for a software organization with multiple teams. Specify the agentic IDE / ADE and coding-agent strategy for parallel agent work, mandatory AI code review integrated into pull requests with human sign-off, a testing and CI/CD pipeline with quality gates, a centralized LLM gateway providing routing, rate limiting, caching, and cost controls across providers, and the observability plus evaluation pipelines that trace, monitor, and regression-test LLM behavior before changes ship. Address governance, auditability, and how the toolchain scales across teams without fragmenting standards.”
Top recommendations
GOGo
