Complex Workflows in Natural Language
No scripts, no YAML. Just prompts. Try for free at https://gitar.ai
20s
Gitar - Faster Review Cycles
Handles feedback automatically. Merge faster. Try for free at https://gitar.ai
34s
Gitar - CI Heals Itself
Fixes build, test and other failures automatically. Stay focused. Try for free at https://gitar.ai
15s
Gitar - Understand Failures Instantly
No digging through logs. Just the root cause. Try for free at https://gitar.ai
16s
Introducing Gitar - CI for the Age of AI
Gitar lets you define pipelines as prompts, analyzes and fixes broken builds, and addresses code review feedback on your PRs. Merge more, faster with Gitar. Try for free at https://gitar.ai
1m 28s
How Agentic AI Is Transforming Code Maintenance
Summary This webinar explored the practical impact of Agentic AI on developer productivity, testing, and code maintenance at scale. Moderated by Gautam, the discussion featured insights from Ty Smith, an engineering leader at Uber, and Carlos, a Senior Principal Engineer at Amazon. Together, they examined real-world implementation of AI-assisted development tools, challenges in evaluating and adopting these technologies, and how roles and workflows are evolving in response. Relevant Resources Gitar.ai: https://gitar.ai/ Connect with Ty: https://tysmith.me/ Connect with Carlos: https://www.linkedin.com/in/carlos-arguelles-6352392/ Key Takeaways 1. AI at Scale: Uber’s “Auto Migrate” uses Agentic AI to convert millions of lines of Java to Kotlin—blending deterministic tools, LLMs, and multi-stage verification. 2. LLMs for Testing: At Amazon, natural language tests powered by LLMs outperform traditional frameworks in flexibility and bug discovery, but require strong guardrails. 3. Tool Overload: The rapid evolution of AI dev tools demands nimble evaluation strategies—prioritizing flexibility, optionality, and human-in-the-loop feedback. 4. Measuring ROI: ROI is multi-dimensional—factoring in test creation speed, flakiness, maintenance cost, and “dev years saved,” not just lines of code. 5. Changing Roles: Developers are shifting from coding to orchestrating agent workflows, requiring new team structures and cross-functional thinking. 6. MCP & Governance: Model-Component Protocols (MCPs) are powerful but bring security, auth, and governance challenges that must evolve alongside usage. 7. Experiment with all the AI tools you can get your hands on. Key Timestamps 00:00 – Intro to panelists and topic: Agentic AI & developer productivity 2:11 – Context on challenges post-code-generation (maintenance, security) 5:01 – Uber’s Auto Migrate project: centralizing code transformation 10:23 – Amazon’s use of LLMs for natural language-based test execution 15:17 – Evaluating AI tools, trust issues, and cultural blockers 23:09 – ROI frameworks and balancing dev time vs. hardware cost 27:04 – Changing job roles and future of developer archetypes 34:50 – Code quality and ownership in the age of AI generation 39:57 – Flaky tests and LLM creativity: managing guardrails 46:08 – Scaling AI agents: context size, modularity, and multi-agent systems 51:14 – MCP governance, authentication, and agent policy design 54:03 – Injecting expert agents for accessibility, image quality, etc. 57:00 – Final thoughts and advice for developers navigating the AI shift #AI #AgenticAI #SoftwareEngineering #DeveloperProductivity #CodeMaintenance #Gitar #UberTech #AmazonTech #AIInfrastructure #DevTools #MCP
59m 8s
The State of AI Development Tools: Innovations, Challenges, and the Road Ahead
Watch the full State of AI Development Tools webinar featuring industry experts Daniel Liem (Gentrace.ai) and Gautam Korlam (Gitar.ai) as they dive deep into the evolving landscape of AI-powered software development. This session covers: ✅ The latest AI development tools revolutionizing engineering workflows ✅ Key challenges in AI model reliability, scalability, and deployment ✅ Best practices for automated code refactoring and AI-driven testing ✅ Predictions on where AI in development is headed next 📢 Whether you're a developer, researcher, or AI enthusiast, this webinar offers valuable insights into the tools and strategies shaping the future of AI engineering.
46m 20s
How We Automated Code Maintenance and You Can Too!
Let’s face it: as developers, we dedicate a third of our time to code maintenance, which includes tasks such as upgrading dependencies, addressing security vulnerabilities, and removing obsolete code. This is tedious and repetitive. Neglecting regular maintenance can lead to costly outcomes, including unexpected crashes, and it makes the codebase more difficult to understand and evolve. However, automation of these tasks is not always straightforward. Existing tools such as security scanners and feature flag systems warn you about the issues or obsolete code, but fall short of automatically rectifying these problems. Tools that upgrade dependencies merely increase the version number, leaving engineers to handle any API compatibility issues. Automating code changes is hard, and the polyglot nature of modern development makes it harder. In this talk, we delve into code rewriting techniques such as pattern matching, program analysis, and AI. We illustrate how we leveraged the complementing power of these tools to generate over 1,800 automated pull requests, eliminating or refactoring more than 500,000 lines of code. In this talk, you also learn how to harness the power of these tools to drive down tech debt, ensuring your codebase is not only functional but also future-proof. Presented by Ameya Ketkar and Gautam Korlam (Gitar) at DPE Summit 2024, an event developed and hosted by Gradle.
14m 49s
Webinar: Code migration best practices: Successful strategies for automating code migrations
Replay Gitar's webinar to learn how to transform code migrations from a headache into a smooth, efficient process. We cover best practices, key steps to follow, and how to de-risk timelines with smart automation. You'll walk away with tips on getting executive buy-in, leveraging tools, preventing regressions, and articulating the business value of seamless migrations. Don’t miss out on unlocking a hassle-free migration strategy! Learn more at: https://gitar.ai Join our community: https://join.slack.com/t/gitarcommunity/shared_invite/zt-2v9b1j0mt-mrdX5WRUK0txQ8YLkO9TPw Don’t forget to like, comment, and subscribe to see more ways Gitar can streamline your development workflow! 🚀
39m 42s
