Platforms and tools that accelerate software development, including AI coding assistants, CI/CD pipelines, and developer environments.
19
Use Cases
18
Tools
19
Companies
Developer Tools Tools
Agent development framework by Anthropic for building reliable, orchestrated multi-step AI agent systems.
Anthropic Claude API for building AI-powered applications
CLI-native AI coding assistant for software development
AI voice and audio generation API by ElevenLabs for creating realistic speech synthesis in apps.
AI-powered coding assistant for enterprise developers
CI/CD automation platform by GitHub for building, testing, and deploying code within repositories.
AI coding assistant by GitHub suggesting code completions and generating functions within developer IDEs.
Self-hosted DevOps platform by GitHub for enterprise-scale code collaboration with advanced security controls.
Cloud DevOps platform by GitHub for hosting, reviewing, and collaborating on enterprise software projects.
AI code assistant by IBM watsonx for generating, explaining, and reviewing code across languages.
Open protocol by Anthropic enabling AI models to securely connect with external tools and data sources.
AI-powered coding agent for autonomous software development, code review, and debugging
General-purpose programming language widely used for data science, ML, and scientific computing.
Statistical computing language used by data scientists for analysis, modeling, and visualization.
Standard interface for exposing and consuming web services, enabling integration between systems.
AWS SDK for building model-driven AI agent orchestration systems.
Application migration and workload mobility platform
No-code AI builder by Writer for creating AI-powered apps and workflows without engineering resources.
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Use Cases (19)
General Motors consolidated 19,000+ developers and 150,000 repositories from 40+ fragmented tools onto GitHub Enterprise Cloud, reducing a critical build from 4–6 hours to 27 minutes. By adopting GitHub Advanced Security with Copilot Autofix and deploying GitHub Copilot to 8,000+ developers, GM remediated 100% of leaked secrets and modernized legacy COBOL and Fortran systems.
Duolingo, the world’s most popular language learning app with over 500 million users, relies on GitHub Enterprise, GitHub Copilot, and GitHub Codespaces to keep 300 engineers moving fast across a 400-repository microservices codebase. GitHub Copilot delivered a 25% speed increase for developers new to a codebase, Codespaces reduced setup time for the largest repository to under a minute, and custom API integrations cut code review turnaround time by 67%.
Cathay, the Hong Kong-based premium travel brand that operates Cathay Pacific airline across 100 destinations with 30,000+ employees, unified its development and security toolchain on GitHub Enterprise, deployed GitHub Copilot to 1,000+ developers, and embedded security scanning into daily workflows through GitHub Advanced Security. The result was a 63% reduction in mean time to remediate security vulnerabilities and a 40% year-over-year improvement in tech debt fixes.
Fifth Dimension, a global AI platform for commercial real estate asset managers and owner-operators, built a multi-model workflow on Google Cloud using Gemini for large-scale document ingestion and Claude for high-precision reasoning. The platform compressed investment memo drafting from days or weeks to just 30 minutes and achieved 99.9% reliability for multi-hour workflows, driving deals with top-10 U.S. asset managers.
AstraZeneca, one of the world’s largest pharmaceutical companies, unified 5,000 developers and scientists onto GitHub Enterprise, automated CI/CD with GitHub Actions, and deployed GitHub Copilot — achieving a 40% increase in developer velocity in its pilot program and generating 9 to 10 additional hours of productive output per developer each week. With drug development timelines measured in decades, the company views even marginal acceleration as directly impacting patient outcomes.
WEX, a global fintech company that processes payments for fleet management, employee benefits, and corporate spending, consolidated a fractured developer ecosystem of 300+ Azure DevOps organizations onto GitHub Enterprise and deployed GitHub Copilot across its engineering workforce of 1,700+. The result was approximately 30% higher developer productivity, ~60% ROI on Copilot licenses, and a 99% reduction in deployment cycle times.
Epic Systems — the healthcare technology company behind MyChart, used by 195 million patients — deployed Claude Code across its entire workforce, not just engineers. Today, more than half of Claude Code usage at Epic comes from non-technical employees, including a pharmacist who built a fully interactive MyChart prototype without writing a single line of code.
Airtree, a $2 billion Australian venture capital firm, deployed Claude Cowork as shared firm-wide infrastructure to unify fragmented data across tools like Notion, Slack, Google Drive, and Affinity. The team built custom Skills to automate board meeting prep, market research, and portfolio reporting — cutting multi-hour tasks down to minutes. What began as individual productivity gains quickly scaled into a collaborative system where Skills built by one person benefit the entire firm.
Anything built a full-stack AI coding agent on Claude and the Agent SDK, enabling 1.5 million non-technical users to create production-ready software — from recruiting platforms to mobile apps — without writing a single line of code. In just five months, users shipped over 800,000 apps with a 91–96% agent success rate. Claude's reliable tool-calling, coding quality, and personality made it the clear choice for Anything's agent architecture.
Slack partnered with Anthropic to integrate Claude's AI models into its platform, enabling intelligent search, conversation summaries, and automated recaps. The collaboration saves the average user 97 minutes per week while unlocking organizational knowledge across billions of daily messages and files.
Postman selected Claude Opus 4.6 as the default model for Agent Mode, saving developers up to 1,150 hours per year and nearly $1M annually for a 10-person team in API development automation.
Cogent built an AI-powered cybersecurity platform with Claude as the reasoning layer, reducing critical vulnerability exposure from days/weeks to minutes — a 97% reduction — while reclaiming 40+ hours monthly from manual reporting.
Stripe collaborated with Anthropic to create a signed enterprise binary of Claude Code, deploying it to 1,370 engineers with zero configuration. One team migrated 10,000 lines of Scala to Java in 4 days instead of 10 weeks.
Datadog integrated OpenAI Codex into live PR review workflows, catching 22% of incidents that passed human review and enabling 1,000+ engineers with AI-powered system-level code analysis.
Cisco embedded OpenAI Codex into production engineering workflows, achieving 20% faster builds, 10-15x defect resolution throughput, and saving 1,500+ engineering hours per month.
Rakuten integrated OpenAI Codex into incident response, CI/CD pipelines, and autonomous development — cutting mean time to recovery by 50% and compressing quarter-long projects into weeks.
ComplyAdvantage deployed Gemini Code Assist across its 170-person engineering team, achieving 37% faster development, 100% more merge requests per developer, and 75% accuracy in auto-categorizing 500+ support requests.
Scuderia Ferrari HP partnered with IBM Consulting to reimagine their mobile fan app using IBM watsonx AI, delivering AI-generated race summaries, personalized content, and interactive features that doubled daily active users and increased in-app engagement by 35%.
Blue Origin deployed 2,700+ AI agents with 70% company-wide adoption, achieving a 90% reduction in hardware development time using Amazon Bedrock.
Strands Agents SDK