Zencoder is introducing its Zenflow desktop app in an try to assist improvement groups transition from vibe coding to AI-First Engineering.
Based on the corporate, AI coding has hit a ceiling because 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 > Evaluate cycle
- Spec-driven improvement, the place brokers are anchored to technical specs
- Multi-agent verification, leveraging mannequin range to cut back blind spots, resembling having Claude evaluation code written by OpenAI fashions
- Parallel execution of a number of fashions operating on the identical time in remoted sandboxes
Zencoder’s inside testing of Zenflow discovered that it improved code correctness by a mean of 20%. “Chat UIs have been effective for copilots, however they break down once you attempt to scale,” stated Andrew Filev, CEO of Zencoder. “Groups are hitting a wall the place velocity 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 obtainable now, and helps the key AI suppliers, together with Anthropic, OpenAI, and Google Gemini.