Zencoder is introducing its Zenflow desktop app in an try to assist growth groups transition from vibe coding to AI-First Engineering.
Based on the corporate, AI coding has hit a ceiling as a result of LLMs producing code that appears right however fails in manufacturing or will get worse as it’s iterated on.
Zenflow introduces an AI Orchestration layer to show “chaotic mannequin interactions into repeatable, verifiable engineering workflows.”
This orchestration layer relies on 4 pillars:
- Structured AI workflows that comply with a Plan > Implement > Check > Evaluation cycle
- Spec-driven growth, the place brokers are anchored to technical specs
- Multi-agent verification, leveraging mannequin range to cut back blind spots, comparable to having Claude evaluation code written by OpenAI fashions
- Parallel execution of a number of fashions working on the similar time in remoted sandboxes
Zencoder’s inner testing of Zenflow discovered that it improved code correctness by a mean of 20%. “Chat UIs have been nice for copilots, however they break down whenever you attempt to scale,” mentioned Andrew Filev, CEO of Zencoder. “Groups are hitting a wall the place pace with out construction creates technical debt. Zenflow replaces ‘Immediate Roulette’ with an engineering meeting line the place brokers plan, implement, and, crucially, confirm one another’s work.”
Zenflow is offered now, and helps the main AI suppliers, together with Anthropic, OpenAI, and Google Gemini.
