Zillow Engineers Boosted Code Production Speed by 40%

The real estate firm reports widespread adoption of AI-coding tools, integrating large language models into its core development pipeline.

Updated on Sept. 19, 2026 in Artificial Intelligence

Isometric editorial illustration of a stack of interlocking blocks representing modular software systems, centered against a plain background. — Zillow reported a 40% increase in software production speed after integrating AI-assisted coding tools into its core engineering and CRM development pipelines. AI Illustration. Upload story photo >

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Zillow has integrated AI-assisted coding tools across its engineering department, resulting in a 40% increase in the speed at which software reaches production. Currently, 97% of the company's 650 engineers are using these tools to automate development tasks.

Why it matters

By shifting development workflows toward AI-assisted coding, Zillow aims to reduce administrative overhead and allow human agents to focus on high-value client interactions. This integration reflects a broader shift toward using AI to optimize software delivery while maintaining regulatory compliance.

Zillow reports that 97% of its 650 engineers now utilize AI-coding tools to accelerate development. This shift has resulted in a 40% improvement in the speed at which new code reaches production environments compared to prior benchmarks.

The players

Zillow

A real estate technology company operating a platform for property listings and data services with an engineering team exceeding 650 staff.

Toby Roberts

The Senior Vice President of Engineering at Zillow who oversees the company's software development strategy and AI implementation.

The details

Zillow integrated the Model Context Protocol — an open standard that enables AI models to safely connect to data systems — to bridge its internal databases with ChatGPT. The company built custom map interfaces and security systems to manage permissions within this framework. These tools automate routine coding tasks and provide agents with CRM-integrated conversation summaries, ensuring that lead response times remain within a two-minute window.

September 2026: Zillow engineering leadership discussed the integration during a podcast recording at Atmosphere Seattle.
September 19, 2026: News of the company's AI-assisted development metrics was published.

The Tech Race

Zillow is leveraging the Model Context Protocol to standardize how its real estate data interacts with external AI environments like ChatGPT. This deployment positions the firm ahead of competitors who have yet to move beyond simple API integrations toward full-scale, protocol-based system interoperability.

Consumers engaging with Zillow's platform will experience faster automated lead responses, with agents now receiving AI-generated summaries and prompts within two minutes of a request. These efficiencies are designed to allow human agents to dedicate more time to direct client interactions rather than data entry.

The takeaway

Zillow's pivot toward AI-assisted development demonstrates how effectively internal engineering metrics can improve when AI is applied to repetitive coding workflows. Watch for the company's next progress report on its internal code review processes to see if these gains in production speed translate into accelerated feature deployment.