AI in Engineering

The evolving role of DevProd teams in the AI era

AI is reshaping the mandate for platform teams. Here’s what they should focus on to stay relevant and drive impact.

Sep 4 •

and

The SPACE of AI: Real-world lessons on AI’s impact

Developers overwhelmingly believe AI enhances their productivity, yet its impact is far from uniform across all tasks and teams.

Aug 21 •

How Faire's platform team built an AI code review agent

A closer look at how Faire is putting AI to work beyond just code generation.

Aug 13 •

and

Unpacking METR’s findings: Does AI slow developers down?

Why the slowdown occurred, and advice for using AI tools more effectively.

Aug 6 •

Measuring engineering productivity in the AI era

How to track AI's impact, keep an eye on quality, and use metrics to drive action.

Jul 30 •

and

METR’s study on how AI affects developer productivity

In this study, developers were 19% slower when using AI.

Jul 23 •

Introducing the AI Measurement Framework

A research-based approach for measuring the impact of AI-assisted engineering in your organization.

Jul 9 •

and

How to communicate the reality of AI-assisted engineering in today’s hype cycle

Show real use cases, outline the cost of enablement, and tell a story with data.

Jun 11 •

and

Findings from Microsoft’s 3-week study on Copilot use

After three weeks of using Copilot, developers felt more positive about the tool and AI overall, but they also emphasized the ongoing need to carefully…

May 21 •

How Google is accelerating code migrations with AI

Google cuts code migration time in half by automating tasks with AI.

May 14 •

Driving AI tool adoption — Lessons from Microsoft

An interview with researcher and SPACE author Brian Houck about proven strategies for driving AI adoption.

Apr 23 •

and

Can LLMs earn $1M from real freelance coding work?

A new benchmark tests AI’s ability to complete real-world tasks.

Apr 16 •

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