The First Autonomous AI Software Engineer? (Zenflow Deep Dive & Tutorial) скачать в хорошем качестве

The First Autonomous AI Software Engineer? (Zenflow Deep Dive & Tutorial)

Is the era of "babysitting" AI code finally over? In this episode of Ai Verdict, we explore Zenflow, the world's first AI software engineer designed to run fully autonomously. While orchestration frameworks like BMAD and OpenSpec are powerful, they often lack a persistent, end-to-end environment to manage AI work at scale. We put Zenflow to the test to see if it can solve the biggest problem in AI coding: Drift. When using standard tools like Google AI Studio, assumptions pile up during iteration, leading to broken code and constant reprompting. Zenflow claims to solve this through Spec-Driven Development (SDD). In this video, we cover: 🚀 The Problem with Prompting: Why standard AI models create "drift" and how Zenflow uses architecture docs and PRDs to keep agents aligned. 🛠️ Installation & Setup: How to get started with Zenflow for free locally on Mac OS and Windows. We walk through the onboarding flow, choosing default agents, and configuring the dashboard. ⚙️ Advanced Configuration: A look at integrating GitHub for managing pull requests and syncing code. We also show how to enhance agents using Model Context Protocols (MCPs), such as adding Playwright for browser automation. Hit the timestamps to jump to specific sections: 0:00 - Introduction: Orchestration vs. Autonomous Engineering 2:15 - The "Drift" Test: Google AI Studio vs. Zenflow 4:30 - The 4 Workflows: Quick Changes, Fix Bugs, Spec & Build, and Full SDD 6:45 - Live Demo: Building a "Daily Habit Tracker" from scratch 8:20 - Parallel Agents: Watch backend and frontend agents work simultaneously 10:10 - The "Secret Sauce": The Verification Agent Loop 12:30 - Final Review: Analytics, Timers, and Production-Ready Code Key Features Verified: • Parallel Execution: Zenflow spins up multiple agents to handle tasks like backend logic and frontend UI at the same time. • Live Visibility: We utilize the dashboard to view the terminal, track live file generation, and review commits in real-time. • The Verification Loop: Once coding is done, Zenflow automatically deploys debugging agents to run tests, review code, and fix errors before you ever see the final product. The Verdict: By anchoring work through specs and running continuous verification, Zenflow turns AI from an unpredictable helper into a reliable engineer. The final result was a fully functional habit tracker with activity logs, session timers, and analytics—all built without manual intervention. 🔗 Links & Resources: • Download Zenflow (Free): [Link in Description] • Subscribe to the Newsletter: Stay up-to-date with the latest AI developments. If you found this breakdown helpful, don't forget to Like and Subscribe to Ai Verdict for more honest reviews of the latest AI tools. #AI #SoftwareEngineering #Zenflow #ArtificialIntelligence #Coding #DevTools #AutoGPT