Replit Agent 4 - It's so over

Conor Martin · Intermediate ·🤖 AI Agents & Automation ·4mo ago

Key Takeaways

Breaks down the new features of Replit Agent 4, including parallel agents and infinite loops

Original Description

Join the Community here: https://www.skool.com/market-an-ai-app-to-10kmonth-4009/ Get $10 of extra replit credits if you sign up here: https://replit.com/refer/conormonaghan44 Replit just dropped Agent 4, and it's the biggest update they've ever shipped. In this video I'm breaking down everything that's new: parallel agents that work on multiple parts of your project simultaneously, an infinite design canvas for exploring UI variants without disrupting your build, a task-based workflow that kills the back-and-forth of linear chat, and the ability to create web apps, mobile apps, decks, animations and data tools all inside one project. Agent 4 is built around one idea: you should be spending your time creating, not coordinating. The agent handles the execution while you stay in creative flow. If you're building with AI tools right now, this changes things. Watch to see exactly what's new and how to use it.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Why $10B Meta-Anthropic talks matter: Measuring your agent’s true cost-per-task
Learn to measure the true cost-per-task of your agent to optimize continuous-agent workflows and reduce costs
Dev.to AI
📰
AI-Powered Label Adaptation for Specialty Food Producers
Learn how AI-powered label adaptation can help specialty food producers streamline their labeling process and improve compliance
Dev.to AI
📰
Day 104: AI Agent Orchestrator - AI System Design in Seconds
Learn to design AI systems with an agent orchestrator in seconds, enabling reliability, scalability, and recovery for complex tasks
Dev.to AI
📰
I Built a Brain for AI Agents — 8 Cognitive Layers, 23,000+ Lines, Zero Bullshit
Learn how to build a brain for AI agents with 8 cognitive layers to solve the amnesia problem, enabling them to remember and learn from past experiences
Dev.to AI
Up next
What is AI Agents Swarm Explained with Examples
VLR Software Training
Watch →