Investor Presentation First Quarter Fiscal Year 2026 © GitLab Inc. First quarter fiscal year 2026 results $215M Revenue1 27% Revenue Growth1 12% Q1 FY26 Non-GAAP Operating Margin1 49% Q1 FY26 Non-GAAP Adj. Free Cash Flow Margin1 122% Dollar-Based Net Retention Rate1 10,104 Base Customers1 1,288 $100K ARR Customers1 1 Platform Note: Figures as of the three months ended April 30, 2025 Q1 FY26) unless otherwise noted. 1 Definitions and reconciliations with most directly comparable GAAP figure can be found in t ...

Amazon Q Developer Overview - Amazon Q Developer is an AI coding assistant designed to integrate into various stages of the Software Development Life Cycle (SDLC) [2][5] - It supports multiple IDEs (VS Code, IntelliJ, Eclipse), CLI, and GitHub, aiming for a seamless experience across different developer preferences [5][15][22] - Users can start using Amazon Q Developer in the command line or IDE without requiring an AWS account [5] Key Features and Use Cases - Amazon Q Developer can assist in the planning phase by providing best practices and suggesting robust, production-ready approaches [30] - It can generate code, unit tests, and documentation, streamlining the development process [16][19] - The tool facilitates debugging by analyzing logs and identifying root causes of errors within the AWS console [26] - Amazon Q Developer supports feature development through context-aware feature building and bug fixing [18] - It offers security scans and monitoring within GitHub, enabling code review and automated fixes in pull requests [23] SDLC Integration - Amazon Q Developer aids in deploying applications to cloud services by generating SAM scripts [25] - It helps maintain and modernize applications by providing insights into application performance and potential issues [4][26] Best Practices and Considerations - The industry emphasizes the importance of pre-planning, including infrastructure considerations, to avoid production issues [29][30] - Prompt engineering is highlighted as a crucial skill for developers to effectively utilize generative AI and obtain desired outputs [31]