Vibe Coder
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- Turn intent into a crisp spec and direct coding agents without losing product judgment
- Build full-stack products quickly, then inspect, test and iterate from evidence
- Ship AI-assisted software with security, reliability and scalable agent workflows
Benchmark: Affirm Reliability Platform (explicit vibe-coding signal) + AI-native product-engineer market patterns + OpenAI Codex / Anthropic Claude Code / GitHub Copilot / Cursor / Replit / Vercel workflows (current Sep 2026) Market refresh: intent-to-software, product taste, agent prompting/context, rapid full-stack build, Git, tests/review, security, deployment and observability. Speed counts only when the result stays understandable, maintainable and safe.
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Turn intent into a crisp spec and direct coding agents without losing product judgment
Problem framing, spec decomposition + product taste
Coverage: Product Discovery / Technical Requirements / UI & UX
Prompt/context engineering + agent steering
Coverage: Prompt & Context Engineering / AI Coding / Git
Build full-stack products quickly, then inspect, test and iterate from evidence
Full-stack prototyping, data/auth/APIs + deployment
Coverage: Full-Stack / APIs / Databases / Cloud Deployment
Debugging, tests, Git + human code review
Coverage: Testing / Version Control / Code Review / Refactoring
Ship AI-assisted software with security, reliability and scalable agent workflows
Secure-by-default hardening + production reliability
Coverage: AppSec / DevSecOps / Observability / SRE
Multi-agent orchestration, MCP + advanced automation
Coverage: Agentic Development / MCP / CI-CD / AI Dev Productivity
Role-Readiness Proof / Capstone
Ship a real product in a 72-hour build sprint: write a one-page spec and acceptance criteria; use an AI coding agent to build a responsive full-stack app with auth/data/API integration; commit through Git; create and run tests; review diffs and dependencies; threat-model secrets/auth/data access; deploy with logs and health checks; run 3-5 user tests; iterate from evidence; publish a build log showing prompts, agent decisions, defects caught, code you overrode, and production tradeoffs.
Proof Rubric
- Working product, not a mockup
- crisp spec and scope
- strong product taste
- high AI leverage without blind acceptance
- coherent architecture
- Git discipline
- tests and regression evidence
- secure secrets/auth/dependencies
- observable deployment
- user feedback changes the product
- ability to explain generated code, failures and tradeoffs
- measurable time-to-value without sacrificing maintainability