Hosted by Shashi Jagtap · 🇺🇸 US · EN-GB · 19 episodes
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Welcome to The Superagentic AI Show — a podcast at the edge of Agentic AI, where we explore the rise of intelligent agents and the future of Agent Experience (AgentEx).Hosted by Shashi Jagtap, founder of Superagentic AI and ex-Apple engineer, this show dives into the tools, frameworks, and real-world shifts that are transforming how software is built — not for users, but for agents. Exploring the rise of intelligent agents, AgentEx, and co-intelligent systems. Build the future with agents.🚀 It’s time to stop watching the future happen — and start building it with agents.
Shashi Jagtap hosts The Superagentic AI Show, a technology show with 19 episodes published.
SpecMem is an innovative Agent Experience (AgentEx) platform designed to provide a unified cognitive memory layer for AI coding agents. It addresses common industry challenges like context loss, proprietary format lock-i
CodeOptiX, developed by Superagentic AI, is a universal optimization and evaluation engine designed to enhance the reliability of AI coding agents. The platform addresses common risks such as security vulnerabilities, po
This pod is all about the Agent Context Engineering and discusses the evolution of prompt engineering into Context Engineering and the new discipline of Agentic Context Engineering (ACE), introduced by Stanford, which vi
ntroduces GEPA, a novel DSPy optimizer integrated into the SuperOptiX AI agent framework, which enables AI agents to self-improve through reflective prompt evolution. Unlike traditional methods requiring extensive data,
This episode describes SuperOptiX, an optimization platform for AI systems, and its integration with Optimas, a unified optimization framework. SuperOptiX leverages Optimas to extend its optimization capabilities beyond
This episode introduces GEPA (Genetic-Pareto Prompt Optimizer), a novel approach to optimizing prompts for Agentic AI systems. Unlike traditional methods like Reinforcement Learning (RL) that rely on sparse rewards, GEPA
This episode explains the crucial need for observability in AI agent systems, moving beyond traditional infrastructure monitoring to understand model behavior, reasoning processes, and decision-making patterns. It highli
This episode describes SuperOptiX, a unified platform designed to simplify local and self-hosted AI model management for both individual developers and enterprises. It highlights the challenges of the current fragmented
SuperSpec, a declarative DSL (Domain Specific Language) designed for defining AI agents. It functions similarly to Kubernetes for AI agents, allowing users to specify desired behaviors and configurations in YAML playbook
This episode compares two DSPy-powered AI agent frameworks, SuperOptiX by Superagentic AI and Agent Bricks by Databricks, highlighting their differing philosophical approaches to AI development. Agent Bricks prioritizes
SuperOptiX AI is presented as a comprehensive, full-stack framework for developing and deploying production-grade AI agents. It emphasizes an "evaluation-first" philosophy, integrating behavior-driven development (BDD) f
This episode explore the debate surrounding the implementation of multi-agent AI systems, contrasting their benefits and drawbacks. While some sources, like Anthropic, champion multi-agent architectures for fostering par
This episode explore the evolving landscape of AI development, particularly focusing on the transition from prompt engineering to context engineering. This shift highlights the importance of curating, optimizing, and pro
This episode discuss Agent Bricks, a new Databricks product designed to simplify and automate the development of high-quality, domain-specific AI agents by handling evaluation and optimization. Agent Bricks aims to overc
Agent Engineering, a new discipline focused on designing, developing, and supervising intelligent AI agents. These agents, powered by Large Language Models (LLMs), are distinct from traditional software as they are auton
"Agent Experience," or AgentEx, represents the evolution of experience design, shifting focus from human users (UX) and developers (DevEx) to autonomous AI agents. This new discipline addresses the unique needs of AI age
In this Episode, we will explore the concept of the Agentic Co-Intelligence. A New chapter in Human and AI collaboration. In an era where AI agents are building software, making decisions, and redefining how work gets do
Agentic DevOps for the Rest of Us: A New Era of Intelligent SDLC. This episode elaborate concept of Agentic DevOps for the rest of the us (not just Microsoft) to enhance the software development life cycle using intellig
This is an AI generated first episode introducing the The Superagentic AI Show and what kinds of content we are going to cover as part of this show. We will be having more real episodes coming soon to get you started int
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The Superagentic AI Show is hosted by Shashi Jagtap. The show is categorised under technology and has published 19 episodes.
The Superagentic AI Show has published 19 episodes.
The Superagentic AI Show regularly covers technology. It sits in the technology category.
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