Day 026b - The Product Management Diary - Bringing a Red5Sorcery Data Engineering Product to Market

*After Hours — Day 026b: What Comes After Vibe Coding?* If AI makes writing code dramatically easier, what becomes more important? Tonight’s After Hours episode looks at InfoWorld’s recent article, *“7 vibe coding mistakes to avoid,”* and compares its warnings with the development method emerging around Red5Sorcery Data Sculptor. The article highlights familiar risks in AI-assisted software development: bypassing requirements, trusting dependencies too casually, leaving nonfunctional requirements until late, relying on manual testing, weakening access boundaries, and failing to build observability into the system. What struck me is how closely those concerns align with lessons we have been learning firsthand. Data Sculptor is being developed **spec first**. Requirements and semantics are written before implementation. QA reviews the contract, not just the code. Ambiguities are resolved explicitly. Claude performs independent adversarial testing. Outputs are compared. Evidence is preserved. Design notes, QA records, public diaries, and the project Suitcase keep the reasoning behind the software from disappearing. Our emerging development method is the **AI Council**: Tarjin — Product Management and final acceptance Spock / ChatGPT — Architecture and implementation Claude — Independent adversarial QA Gemini — Communication and public storytelling The larger lesson may be simple: *As AI lowers the cost of producing code, disciplined product thinking, specifications, testing, documentation, provenance, and human judgment become more valuable—not less.* Data Sculptor may ultimately be a deliberately boring data application on the surface. But the way it is being built may be one of the most interesting parts of the project. Day 026. #AI #SoftwareDevelopment #ProductManagement #QualityAssurance #SpecDrivenDevelopment #VibeCoding #LLM #OpenSource #DataSculptor #Red5Sorcery