Solutions
0
min read
March 15, 2022

Podcast: Orchestrate All The Things - Faros AI in conversation with George Anadiotis, ZDNet

Listen to this interesting conversation with George Anadiotis, ZDNet and learn more about Faros AI!

Mahesh Iyer
By
Mahesh Iyer
Solutions

Podcast: Orchestrate All The Things - Faros AI in conversation with George Anadiotis, ZDNet

Listen to this interesting conversation with George Anadiotis, ZDNet and learn more about Faros AI!

About the Company

Industry
Chapters
Heading 2
Heading 3
Heading 4
Copy link to blog post entry
Copied!
https://www.faros.ai/blog/orchestrate-all-the-things-faros-ai-in-conversation-with-george-anadiotis-zdnet
Copied!
https://www.faros.ai/blog/orchestrate-all-the-things-faros-ai-in-conversation-with-george-anadiotis-zdnet
Productivity

(Podcast originally posted on ZDNet on March 2, 2022 by George Anadiotis)

As part of our recent funding announcement, George Anadiotis from ZDNet interviewed our CEO Vitaly Gordon. They spoke at length about a variety of topics including the Faros AI origin story, what the EngOps platform does for modern engineering teams, plus all things about engineering velocity, developer productivity, and interesting anecdotes from Vitaly’s Salesforce Einstein days!

Listen to this in-depth conversation to catch all the details and learn more about the magic of Faros AI!

See Faros AI in Action

Head on over to GitHub to get started today OR Request a demo and we will be happy to set up time to walk you through the platform.

Mahesh Iyer

Mahesh Iyer

Connect on linkedin
AI Is Everywhere. Impact Isn’t.
75% of engineers use AI tools—yet most organizations see no measurable performance gains.

Read the report to uncover what’s holding teams back—and how to fix it fast.
Read the report
Cover of Faros AI report titled "The AI Productivity Paradox" on AI coding assistants and developer productivity.
Discover the Engineering Productivity Handbook
How to build a high-impact program that drives real results.
‍
What to measure and why it matters.

And the 5 critical practices that turn data into impact.
Get the handbook
Cover of "The Engineering Productivity Handbook" featuring white arrows on a red background, symbolizing growth and improvement.
Graduation cap with a tassel over a dark gradient background.
AI ENGINEERING REPORT 2026
The Acceleration 
Whiplash
The definitive data on AI's engineering impact. What's working, what's breaking, and what leaders need to do next.
  • Engineering throughput is up
  • Bugs, incidents, and rework are rising faster
  • Two years of data from 22,000 developers across 4,000 teams
Explore the report

More in Solutions

SEE ALL blog posts
Blog
8
MIN READ

OpenAI says 30% of SWE-Bench Pro is broken. We saw it first.

The same flaw is hiding in your own backlog, at a higher rate. Here's why graded scoring catches what pass/fail testing misses.

Solutions
8
MIN READ

AI model routing: How we score code without running tests

The AI code evaluation framework behind our open vs. frontier model test: rubric-based scoring, a blinded LLM judge, and validation on real SWE-bench data.

Blog
8
MIN READ

Best open-weight models for coding

Compare the best open-weight models for coding in 2026—GLM, DeepSeek, Qwen, Kimi and more—and learn when each one can cut your AI coding costs.