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2026-05-16
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Microsoft and GitHub to Showcase AI-Powered Python Tools at PyCon US 2026

PyCon US 2026: Microsoft & GitHub debut AI tools, Pylance-Pyrefly integration, and hands-on labs. May 14-17 in Long Beach.

Breaking: PyCon US 2026 to Feature Major Microsoft & GitHub Presence

Microsoft and GitHub will be prominent exhibitors at PyCon US 2026, scheduled for May 14–17 in Long Beach, California. The conference, one of the largest annual gatherings for the Python community, will offer attendees hands-on demos of cutting-edge AI tools and developer workflows.

Microsoft and GitHub to Showcase AI-Powered Python Tools at PyCon US 2026
Source: devblogs.microsoft.com

“We’re bringing our latest innovations in AI-assisted coding and cloud services directly to the PyCon floor,” said Pamela Fox, Principal Cloud Developer Advocate at Microsoft. “This is a must-attend for any Python developer looking to supercharge their productivity.”

Visit the Microsoft and GitHub booth throughout the event to explore new integrations and share feedback on tools like GitHub Copilot and Azure DocumentDB.

Meta & Pylance: A Game-Changing Type Checker Integration

On Saturday, May 16, at 1:00 p.m., the Meta booth will demo a groundbreaking integration of Pylance with Meta’s new Pyrefly type checker. Currently available in early preview via the Insiders build, this integration promises to enhance Python type checking with real-time performance improvements.

“Our collaboration with Meta brings the power of Pyrefly directly into the editor, making type-checking faster and more robust for the millions of Python developers using Visual Studio Code,” explained Sarah Kaiser, Senior Cloud Advocate at Microsoft.

Hands-On Labs: 10-Minute Interactive Demos

Drop by the Microsoft booth for quick, hands-on labs covering five key tools:

  • GitHub Copilot – AI pair programming in action
  • Azure DocumentDB – NoSQL at cloud scale
  • Microsoft Foundry – Build and deploy AI models
  • Microsoft Agent Framework – Create intelligent agents
  • Azure PostgreSQL – Managed Postgres with AI extensions
  • Azure AI Search – Semantic and vector search

Each session runs about 10 minutes and requires no prior setup—just your interest in modern Python development.

Featured Talks & Panels

The conference schedule includes several Microsoft-led sessions. Highlights include:

Date & TimeRoomSessionSpeaker
Wed, May 13 · 9:00 a.m.–12:30 p.m.101ABuild your first MCP server in PythonPamela Fox
Wed, May 13 · 1:30 p.m.–2:30 p.m.201BDungeons and Databases: Build NPC agents with DocumentDB and PostgresMarko Hotti, Patty Chow
Thu, May 14 · 2:40 p.m.–3:05 p.m.104CEducation Summit: Big Lessons from Small ModelsGwyneth Peña-Siguenza
Thu, May 14 · 3:40 p.m.–4:05 p.m.104CYour Slides, But Faster: AI-powered presentation workflowPamela Fox
Fri, May 15 · 3:30 p.m.–4:00 p.m.104CPyCharlas: Cómo pasé de perdida a enseñar Python + IAGwyneth Peña-Siguenza
Sat, May 16 · 2:30 p.m.–3:45 p.m.201AMaintainer Summit Tools Track: Dev ContainersSarah Kaiser
Sun, May 17 · 1:00 p.m.–1:30 p.m.Grand Ballroom AA bridge over (not) troubled waters: Marine data from your couchSarah Kaiser

For a full schedule, visit the Meta & Pylance section or check the conference app.

Background

PyCon US is the premier annual gathering for Python developers, educators, and enthusiasts. Microsoft has deepened its commitment to Python over recent years, investing in tools like Visual Studio Code, GitHub Copilot, and Azure SDKs.

The 2026 edition continues this trend with a strong emphasis on AI-assisted development and cloud-native Python applications.

What This Means

For the Python community, the expanded Microsoft and GitHub presence at PyCon US 2026 signals a major push toward integrating AI into everyday coding workflows.

“Developers can expect smoother type-checking, smarter code completion, and deeper cloud service integrations,” noted Marko Hotti, Senior Product Manager at Microsoft. “This is just the beginning of a new era for Python tooling.”

With hands-on labs and expert-led talks, attendees will leave equipped to build faster, more reliable Python applications using state-of-the-art AI and cloud services.