Zencoder is introducing its Zenflow desktop app in an attempt to help development teams transition from vibe coding to AI-First Engineering.
According to the company, AI coding has hit a ceiling due to LLMs producing code that looks correct but fails in production or gets worse as it is iterated on.
Zenflow introduces an AI Orchestration layer to turn “chaotic model interactions into repeatable, verifiable engineering workflows.”
This orchestration layer is based on four pillars:
- Structured AI workflows that follow a Plan > Implement > Test > Review cycle
- Spec-driven development, where agents are anchored to technical specifications
- Multi-agent verification, leveraging model diversity to reduce blind spots, such as having Claude review code written by OpenAI models
- Parallel execution of multiple models running at the same time in isolated sandboxes
Zencoder’s internal testing of Zenflow found that it improved code correctness by an average of 20%. “Chat UIs were fine for copilots, but they break down when you try to scale,” said Andrew Filev, CEO of Zencoder. “Teams are hitting a wall where speed without structure creates technical debt. Zenflow replaces ‘Prompt Roulette’ with an engineering assembly line where agents plan, implement, and, crucially, verify each other’s work.”
Zenflow is available now, and supports the major AI providers, including Anthropic, OpenAI, and Google Gemini.
