See how 139 companies
use AI for code generation

Context Windows brings together credible AI case studies from the open web, so you can pick and prioritise the use cases that are already working.

Real-world implementations from

Nissan logoN
NissanSoftware development platform
Spotify logoS
SpotifyAutomated code migration
Southwest Airlines logoS
Southwest AirlinesSoftware development
PwC logoP
PwCLegacy code analysis
University of California San Diego logoU
University of California San DiegoProgramming education
Nissan logoN
NissanSoftware development platform
Spotify logoS
SpotifyAutomated code migration
Southwest Airlines logoS
Southwest AirlinesSoftware development
PwC logoP
PwCLegacy code analysis
University of California San Diego logoU
University of California San DiegoProgramming education
Try:,,
Showing 9 of 139 case studies
Southwest Airlines logoS

Southwest Airlines

Travel & Tourism

Software development

AgenticL3

On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.

via lebigdata.fr
Published Jun 22, 2026
Rhapsody logoR

Rhapsody

Healthcare Providers|Mid-size
up to

Data integration

AgenticL2

Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.

80%Reqs & Build Time Saved
via aws.amazon.com
Published Jun 16, 2026
Netsmart logoN

Netsmart

Software & Platforms|Mid-size

Code modernization

AgenticL3

Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.

via aws.amazon.com
Published Jun 10, 2026
Musinsa logoM

Musinsa

Developer productivity

AgenticL2

More output meant more headcount. AI coding agents shifted 700 engineers toward harder problems and cut new-hire ramp-up in half.

2.1%Equiv. Hiring Costvs full hiring cost for 37.6 additional developers
via n.news.naver.com
Published Jun 10, 2026
Delight AI logoD

Delight AI

Software & Platforms|SMB

Software development

AgenticL3

Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.

1-2 daysFix Time Reductionvs about a week
via anthropic.com
Published Jun 6, 2026
Albatha logoA

Albatha

Consumer Products|Enterprise

Data integration

AgenticL3

1,000 extractors, each needing 5–10 manual steps to configure—AI agents now write the ETL scripts. Full scope done in 4 weeks, not 19.

~$270KPotential Savings
via sap.com
Published Jun 5, 2026