Ryan J. Salva

Beyond the IDE: A new era of agent collaboration

What if your AI coding partner could learn from its mistakes and update its own workflow to become more efficient over time?

Beyond the IDE: A new era of agent collaboration
#1about 3 minutes

Grappling with the uncomfortable truths and motivations of AI

AI's impact on jobs raises questions about its purpose, which ranges from reducing toil and breaking barriers to pure capitalism.

#2about 3 minutes

Introducing Gemini CLI for direct model interaction

Gemini CLI provides lightweight, bare-metal access to models, grounding them with local files and search while enabling automation and personalization.

#3about 4 minutes

Live demo of an AI agent fixing a GitHub issue

A live demonstration shows how to prompt Gemini CLI to plan a fix for a real GitHub issue, utilizing an MCP server and a ReAct loop.

#4about 4 minutes

Guiding AI agent behavior with structured markdown files

The AI agent's workflow is customized by combining three types of markdown files for personal process, team best practices, and project structure.

#5about 4 minutes

Observing the AI agent execute a test-driven development plan

The AI agent follows a test-driven development plan by writing a failing test, implementing the fix, and troubleshooting errors until the tests pass.

#6about 2 minutes

Improving the AI agent's process through reflection

By prompting the agent to reflect on its troubleshooting session, it generates improvements that are then saved back into its guiding markdown files.

#7about 3 minutes

The strategic choice of TypeScript for Gemini CLI

Gemini CLI was built with TypeScript to maximize community contribution, leverage team familiarity, utilize the rich ecosystem, and ensure portability across environments.

#8about 3 minutes

Exploring diverse real-world use cases for AI agents

Real-world applications of Gemini CLI range from SRE root cause analysis at Delivery Hero to personal knowledge management and solving philosophical logic puzzles.

#9about 2 minutes

How AI gives developers the courage to experiment

Beyond efficiency, the true value of AI tools is giving developers the courage to tackle unfamiliar problems and rediscover the joy of creation.

Related jobs
Jobs that call for the skills explored in this talk.

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Saby Company
Delebio, Italy

Intermediate

test

Milly
Vienna, Austria

Intermediate

Matching moments

Building interactive agents with the Gemini Live API
34:02 MIN

Building interactive agents with the Gemini Live API

What’s New with Google Gemini?

Building agents with Google Gemini and open source tools
18:41 MIN

Building agents with Google Gemini and open source tools

Beyond Chatbots: How to build Agentic AI systems

Choosing the right AI-powered developer tools and IDEs
03:58 MIN

Choosing the right AI-powered developer tools and IDEs

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge

The current era of AI-assisted development
20:07 MIN

The current era of AI-assisted development

From Punch Cards to AI-assisted Development

The evolution of AI-powered coding assistants
38:09 MIN

The evolution of AI-powered coding assistants

Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen

The shift towards agentic AI in software engineering
12:44 MIN

The shift towards agentic AI in software engineering

10 commandments for vibe coding

Building web apps and live experiences with AI Studio
15:26 MIN

Building web apps and live experiences with AI Studio

Google Gemma and Open Source AI Models - Clement Farabet

The future of AI as a colleague in the workplace
06:21 MIN

The future of AI as a colleague in the workplace

Leading efficiency, empathy, and the human experience with AI

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From learning to earning

Jobs that call for the skills explored in this talk.