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Software development and AI coding tools

GitHub

GitHub provides a software development platform where developers share code and collaborate on projects, including proprietary software, while tracking one another’s changes. GitHub Copilot adds AI coding capabilities with access to models from Microsoft, OpenAI, and Anthropic. The product family also includes a desktop app introduced in 2026 for working with coding agents.

Founded in 2008, GitHub’s co-founders are Chris Wanstrath, Tom Preston-Werner, PJ Hyett, and Scott Chacon. Its origins lie in making collaboration through Git version control easier. Chief Product Officer Mario Rodriguez oversees its product portfolio and AI/Copilot strategy. GitHub’s engineering contributions include Tree-sitter, developed for the Atom editor: it incrementally maintains a syntax tree as code changes, supporting syntax highlighting, folding, and structural selection without reparsing the entire file.

Microsoft completed its acquisition of GitHub in 2018 in a $7.5 billion transaction. In July 2026, Microsoft reported 225 million GitHub users, adoption by over 90% of the Fortune 500, and 50 million Copilot users. Copilot’s commercial offering combines Business and Enterprise seats with usage-based billing, introduced in 2026, connecting its business to both organizational subscriptions and consumption.

github.com ↗

15 talks

Newest first

15 speakers at AIE

Affiliations reflect their AIE appearances, not necessarily current employment.

Jon PeckSenior product marketing managerChristopher HarrisonSenior Developer AdvocateThomas DohmkeCo-founder and chief executive of EntireDave BurnisonSenior enterprise advocateAlex MalebrancheDimitrios PhilliouSenior growth product managerChristina WarrenSenior developer advocateHaraldRahul PanditaStaff researcherSarah KhalifeMaggie AppletonDesign EngineerIdan GazitHead of GitHub NextSam MorrowSenior software engineerJohn PeckMario RodriguezGitHub’s Chief Product Officer

Start here

  1. The AI Evolution

    Start with Mario Rodriguez's account of early unsuccessful pull-request experiments to understand how Copilot reached its technical preview and why product integration mattered.

    Mario RodriguezAI Engineer Summit 2023

  2. Real world MCPs in GitHub Copilot Agent Mode

    Follow Jon Peck's PostgreSQL example to learn how local and remote MCP connections let an agent retrieve database information and generate test fixtures.

    Jon PeckAI Engineer World's Fair 2025

  3. One Developer, Two Dozen Agents, Zero Alignment: Why we Need Collaborative AI Engineering

    Watch Maggie Appleton's experimental Ace demonstration to see how shared conversations, isolated branches, and collaborative editing support coordination among developers and other teammates.

    Maggie AppletonAI Engineer Europe 2026

  4. GitHub Next Explorations

    GitHub researcher Rahul Pandita introduces GitHub Next's approach to exploring future software-engineering tools through prototypes, internal dogfooding, and product incubation.

    Rahul PanditaAI Engineer World's Fair 2024

Messages from the stage

Making assistance fit developer workflows

Mario Rodriguez discusses latency, offline evaluations, and quality scorecards as foundations for useful AI products. Rahul Pandita's prototype walkthrough adds planning, iteration, and developer trust to the picture.

Giving agents context and constrained tool access

Jon Peck demonstrates repository instructions and database access through MCP, while Sam Morrow examines the costs of large tool inventories and the risks of credential exposure and private-data exfiltration.

Coordinating teams beyond code generation

Maggie Appleton argues that more agent output leaves alignment and review bottlenecks unresolved. Her Ace demonstration and Idan Gazit's session examine shared workspaces alongside governed automation for repository tasks.

Affiliations reflect each recorded session, not necessarily current employment.

Company sources · checked 2026-08-27