Charter Teams With AWS To Bring Generative AI Into Software Development and Operations
Charter Communications has named Amazon Web Services (AWS) as a strategic provider for generative AI, standardizing development on GitLab Duo with Amazon Q Developer. The goal: speed up delivery, improve reliability, and streamline operations across Spectrum Internet, TV, and Mobile.
The collaboration goes beyond code. Both companies plan to apply agentic AI across Charter's operations to improve customer experience, employee workflows, and service performance.
Key takeaways for IT, Dev, Ops, and Comms
- Standard toolchain: GitLab Duo integrated with Amazon Q Developer becomes the core developer assistant for Charter.
- Agentic workflows: Charter will introduce AI agents for coding, reviews, data/ML tasks, and operations.
- Customer impact: Faster feature delivery and improved service reliability across Spectrum products.
- Executive alignment: Leadership frames AI as a company-wide capability, not a single team's experiment.
What this means for engineering
- Accelerated delivery: AI-assisted coding, test generation, and code review shorten cycle times without sacrificing quality.
- Platform-aware assistance: Q Developer supports building, operating, and transforming software with contextual help across AWS services.
- Data and ML readiness: Built-in support for managing data and AI/ML workloads helps teams move from prototypes to production faster.
What this means for operations
- AI in incident response: Agentic patterns suggest runbooks, correlate signals, and offer remediation steps based on context.
- Consistency at scale: Standardized AI tooling across teams improves observability coverage, change management, and post-incident learning.
- Reliability focus: Expect improved MTTD/MTTR and more consistent deployments as AI assistants integrate with existing CI/CD and monitoring.
What this means for PR and communications
- Proof over hype: Clear outcomes-faster features and reliability gains-create stronger narratives for customers and stakeholders.
- Employee story: AI lifts developer and operator experience, which supports talent attraction and retention messaging.
- Enterprise posture: Standardization with AWS and GitLab signals maturity and long-term commitment, not experimentation.
Leadership perspective
Jake Perlman, EVP and CTIO, Charter: AWS helps Charter build AI-driven solutions that improve customer and employee experiences while boosting service performance and reliability.
Jan Hofmeyr, VP, Telecommunications, AWS: Q Developer helps teams build faster and more efficiently. Charter also gains access to Claude Sonnet 4.5, with additional options like Kiro-an AI companion-to further improve the developer experience.
Practical next steps for teams
- Engineering: Pilot GitLab Duo with Amazon Q Developer on a high-impact service. Measure lead time, review throughput, and defect rates before and after.
- Operations: Integrate AI assistants into incident management. Start with enrichment, suggested actions, and post-incident summaries.
- Security & compliance: Define guardrails (PII handling, model access, code provenance). Automate policy checks in CI.
- Change management: Provide short-format training and reference playbooks. Track adoption metrics and outcomes, not just usage.
Why GitLab Duo with Amazon Q Developer
- End-to-end coverage: From planning and code to deployment and operations, the assistant stays context-aware.
- Agentic experiences: Move from "suggestions" to multi-step task completion-within guardrails.
- Ecosystem fit: Deep AWS service knowledge and GitLab-native workflows reduce context switching.
Learn more
About Charter Communications
Charter Communications (NASDAQ: CHTR) provides broadband connectivity to 58 million homes and businesses across 41 states under the Spectrum brand. Offerings include Internet, Mobile, TV, and Voice, supported by a U.S.-based workforce. Learn more at corporate.charter.com.
About AWS
Since 2006, AWS has expanded to offer more than 240 services across compute, storage, databases, networking, analytics, AI/ML, IoT, security, media, and application development, with infrastructure spanning multiple regions and availability zones globally.
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