Platform
Platform
Overview

Explore our platform to see what’s possible when your data works together.

Capabilities
Developer Productivity

Drive engineering efficiency with AI insights

AI Transformation

Realize productivity gains from AI tools

Context for AI Agents

Eliminate AI agent mistakes and rework

Predictable Roadmap Delivery

Maximize capacity and derisk initiatives

Solutions
engineering Roles
CTOs and VPs

Drive strategic impact

AI Officers

Accelerate AI transformation

DevEx and Platform Engineering

Remove friction, delight developers

Technical Program Managers

Forecast capacity and mitigate risk

Context for engineering Roles
AI Impact

Measure AI’s productivity ROI

Engineering Productivity

Optimize SDLC workflows

Developer Experience

Unify surveys and metrics

Investment Strategy

Align resources to outcomes

Use cases
AI Benchmarking

Identify and remove blockers

DORA Metrics

Improve throughput and stability

Initiative Tracking

Keep critical commitments on track

Software Cost Capitalization

Automate R&D cost reporting

Pricing
Resources
RESOURCES
Blog

Engineering in the AI era

Guides

Playbooks that work

Customers

See who ships faster

News

What's new, what's next

Faros AI and Autodesk logos with a smiling man, highlighting AI-driven engineering productivity and software delivery insights.

Why Autodesk Chose a Platform Approach to Developer Productivity and GenAI Impact

About
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Leah McGuire

Leah McGuire

Leah McGuire has spent the last two decades working on information representation, processing, and modeling. She started her career as a computational neuroscientist studying sensory integration and then transitioned into data science and engineering. Leah worked on developing AutoML for Salesforce Einstein and contributed to open-sourcing some of the foundational pieces of the Einstein modeling products. Throughout her career, she has focused on making it easier to learn from datasets that are expensive to generate and collect. This focus has influenced her work across many fields, including professional networking, sales and service, biotech, and engineering observability. At Faros, she develops the platform’s native AI capabilities.

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Latest posts by Leah McGuire

Research
20
min
3/13/25

Does Copilot Improve Code Quality? The Cause and Effect Data Is In

Does GitHub Copilot improve code quality? Our causal analysis reveals its true impact on PR size, code coverage, and code smells.
Cause and effect relationship with Copilot logo
AI
Productivity
Platform Engineering
Leaders
Coding
20
MIN READ
Research
18
min
11/8/24

Mastering Domain-Specific Language Output: Getting an LLM to Perform Reliably without Fine-tuning

See how real-world user insights drove the latest evolution of Faros AI’s Chat-Based Query Helper—now delivering responses 5x more accurate and impactful than leading models.
AI
Data Engineering
18
MIN READ
Blog
15
min
2/12/24

Lessons from Implementing LLMs Responsibly at Faros AI

How we used GenAI to make querying unfamiliar data easier without letting the LLM take the wheel
A banner image of Leah McGuire, machine learning engineer at Faros AI, with the article title "Lessons from implementing LLMs responsibly at Faros AI."
AI
Data Engineering
15
MIN READ
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