Call for Speakers

in 28 days

AI Dev Tools Today

planned future dates

15 Jul 2025, 22 Jul 2025, 29 Jul 2025

location

Online


AI Dev Tools Today is a fast-paced, 20-minute show where developers, builders, and innovators explore the latest AI-powered tools transforming software development.

Each episode features a guest from the AI or dev tool ecosystem who shares hands-on demos, practical workflows, and real-world use cases to help you code smarter, ship faster, and build better with AI.

Whether you're an engineer curious about integrating AI into your stack, or a founder building the next-gen dev tool — this show gives you the insights, tools, and inspiration to stay ahead.

open, 7 months left
Call for Speakers
Call opens at 12:00 AM

08 May 2025

Call closes at 11:59 PM

31 Dec 2025

Call closes in India Standard Time (UTC+05:30) timezone.
Closing time in your timezone () is .

Are you building or working with an AI tool that’s helping developers code smarter, automate faster, or ship more efficiently?

We’re looking for innovators, engineers, founders, and DevRel professionals to be featured on AI Dev Tools Today — a 20-minute video series that highlights practical AI tools, platforms, and products shaping the future of software development.

💡 What We’re Looking For

  • We want short, demo-driven or insight-packed conversations that showcase:
  • AI-powered developer tools & SDKs
  • Automation, testing, or debugging with AI
  • Copilot-like experiences or AI codegen
  • AI APIs, open source tools, or developer platforms
  • How your team is integrating AI into dev workflows
  • If it helps devs build better — we want to feature it!

🎬 Show Format

  • Duration: ~20 minutes
  • Format: Pre-recorded (with occasional live sessions)
  • Streaming On: Global AI Community & CSharp TV
  • Promotion: Shared across C# Corner & Global AI platforms (LinkedIn, X, YouTube)

📂 Proposed Session Categories 

  • AI-Powered Developer Tools : Tools that help write, refactor, test, or debug code using AI (e.g., Copilots, AI IDE plugins).
  • AI Infrastructure & Platforms: APIs, SDKs, and platforms that enable developers to build AI-native applications.
  • AI in DevOps & Automation: Tools that use AI to streamline CI/CD, code reviews, infrastructure management, or deployment workflows.
  • Prompt Engineering & LLM Integration: Techniques and tools focused on prompt design, prompt chaining, or integrating large language models into dev environments.
  • Open Source AI Tools: Demos or walkthroughs of open-source AI projects built for developers.
  • AI Testing & Debugging: Tools that automate QA, bug detection, test case generation, and debugging using machine learning.
  • Real-World Use Cases: Case studies showing how teams have integrated AI into their development pipelines to save time or improve quality.
  • Productivity Boosters: AI tools that help with task management, documentation, code generation, or team collaboration.
  • AI Tool Demos: Walkthroughs of new or emerging AI tools and platforms built for developers.
  • Behind the Build: Founders, engineers, or product teams talking about the story behind their AI tool or platform — what problem they’re solving and how.

CODE OF CONDUCT


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