Isolated codebases and manual security reviews slowed 500+ engineers. Now, AI pairs with developers to write code and auto-fix flaws.
A leading Portuguese telecommunications provider relies on over 500 active cloud engineers to build and maintain connectivity solutions spanning mobile, broadband, and TV networks.
A rapid expansion of cloud engineering practices resulted in isolated source control systems that prevented code reuse and cross-team collaboration....
“The purpose behind our rapid adoption of technologies is simple: we wanted to evolve the company’s collaboration culture.”
NOS's Software development is part of this use case:
Telecommunications and media provider of mobile, broadband, and television services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Drove GitHub adoption and technological transformation within the parent company, NOS.
Related implementations across industries and use cases
Manual testing held back legacy updates. AI now writes 2M+ lines of code annually, automating routine tasks and complex upgrades.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Manual testing held back legacy updates. AI now writes 2M+ lines of code annually, automating routine tasks and complex upgrades.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Isolated codebases and manual security reviews slowed 500+ engineers. Now, AI pairs with developers to write code and auto-fix flaws.
A leading Portuguese telecommunications provider relies on over 500 active cloud engineers to build and maintain connectivity solutions spanning mobile, broadband, and TV networks.
A rapid expansion of cloud engineering practices resulted in isolated source control systems that prevented code reuse and cross-team collaboration....
“The purpose behind our rapid adoption of technologies is simple: we wanted to evolve the company’s collaboration culture.”
NOS's Software development is part of this use case:
Telecommunications and media provider of mobile, broadband, and television services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Drove GitHub adoption and technological transformation within the parent company, NOS.
Related implementations across industries and use cases
Manual testing held back legacy updates. AI now writes 2M+ lines of code annually, automating routine tasks and complex upgrades.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Manual testing held back legacy updates. AI now writes 2M+ lines of code annually, automating routine tasks and complex upgrades.
Boilerplate and unfamiliar code slowed 700 developers. AI now acts as a pair programmer, clearing bottlenecks and handling rote tasks.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.