AI in Engineering

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 •

The gap between developers’ ideal and actual workdays

How developers allocate their time and where AI can help.

Apr 2 •

Structured rollout boosts Copilot adoption and satisfaction by 20%

The impact of structured Copilot training and rollout at a company with 2,000 engineers.

Nov 19, 2024 •

Why developers lose trust in AI tools

Customization and control are key to AI adoption.

Oct 18, 2024 •

Copilot productivity gains at a Fintech company with 2K+ engineers

Independent data on Copilot productivity impact.

Oct 11, 2024 •

Copilot’s impact on productivity: Results from three experiments

Microsoft and Accenture’s studies found a 26% increase in task completion with Copilot, but adoption rates varied.

Sep 27, 2024 •

How developers want to use AI tools

A Microsoft study on the use cases for tools like Copilot and developers' main concerns with using AI tools.

Aug 9, 2024 •

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