Handle
@ericzakariasson
Followers
10K-50K
Focus Area
AI Development
Eric Zakariasson is a developer experience engineer at Cursor AI, one of the fastest-growing AI-powered code editors transforming how developers write software. Based in San Francisco and working at Anysphere (the company behind Cursor), Eric represents the cutting edge of AI-assisted development and autonomous coding workflows.
As a core member of the Cursor team, Eric doesn't just build AI coding tools—he actively experiments with pushing them to their limits. His 24-hour Cursor Agent experiment demonstrated the potential of autonomous AI agents by successfully building a complete project management application with minimal human intervention. This hands-on approach to testing and sharing real-world AI coding workflows makes his insights invaluable for developers exploring prompt engineering and AI pair programming.
Eric is a leading contributor to the Model Context Protocol (MCP) ecosystem, creating multiple open-source MCP servers that extend AI capabilities:
His MCP Night 2.0 presentation revealed compelling data about how developers actually use MCP in production, offering insights into one-click installation, OAuth support, and real adoption patterns that shaped the protocol's evolution.
Eric regularly shares detailed threads on maximizing AI coding tool productivity. His comprehensive framework covers:
Prompting Strategies: How tool access fundamentally changes prompt design. With terminal access, developers can write autonomous prompts like "Write a test for add(a, b) that sums two positive numbers and run the test. Iterate until it passes."
Context Management: Understanding that every new agent session starts with minimal memory—like onboarding a new engineer. Eric emphasizes providing relevant context upfront for better code generation results.
Self-Verification Patterns: Teaching AI agents to validate their own work through test execution and iterative improvement.
Model Selection: Strategic guidance on choosing between different LLMs (GPT-4, Claude, Gemini) based on task requirements and coding scenarios.
Parallel Agent Workflows: His personal approach involves running 1-3 agents simultaneously, each scoped to clearly defined, non-overlapping tasks for maximum developer productivity.
Eric is credited as a contributor to OpenAI's GPT-5 prompting guide, sharing key insights from Cursor's prompt tuning work. This recognition highlights his expertise in LLM-based coding and understanding of how frontier AI models can be optimized for software development tasks.
As part of the Cursor team, Eric has been instrumental in launching Cursor 2.0 features including:
Before joining Cursor, Eric led frontend development at Waytobill, a payment solutions startup. He joined in the company's earliest days, architecting and building their entire frontend infrastructure while designing scalable solutions with future flexibility in mind. His experience extends beyond frontend to backend services, automation, and technical leadership—giving him a holistic understanding of full-stack development challenges.
With a decade of experience across industries, Eric describes himself as a "jack of all trades" developer who brings practical engineering wisdom to AI-assisted development discussions.
Real-World AI Experiments: Eric consistently shares hands-on experiments like running Cursor Agent for 24 hours continuously, providing transparent insights into what works and what doesn't with autonomous coding agents.
Technical Depth with Accessibility: His content balances deep technical knowledge about AI agents, MCP servers, and prompt engineering with practical, actionable advice that developers can implement immediately.
Open Source Contributions: With 44+ GitHub repositories and multiple popular MCP servers, Eric actively contributes to the open-source AI development ecosystem.
Inside Perspective: Working at Cursor gives Eric unique insights into how leading AI code editors are built and how professional developers integrate AI into daily workflows.
Educational Philosophy: Rather than hype, Eric focuses on teaching developers the mental models and practical patterns needed to successfully adopt AI pair programming tools.
Eric's X feed combines product updates, technical tutorials, philosophical reflections on software development, and occasional industry insights. Recent topics include:
Eric regularly interacts with his 46,000+ followers, sharing both successes and learnings from the frontier of AI-assisted development. His posts often include video demonstrations, code examples, and detailed explanations that help developers understand complex AI coding concepts.
AI-First Developers: Those embracing AI as a core part of their development workflow and wanting to stay at the cutting edge of AI-powered coding tools.
Cursor Users: Anyone using or considering Cursor who wants insider tips, advanced workflows, and feature announcements directly from the team.
MCP Developers: Builders creating or using Model Context Protocol servers to extend AI agent capabilities.
Frontend Engineers: Developers interested in TypeScript, React, and modern frontend architectures who want to enhance productivity with AI.
Technical Leaders: Engineering managers and tech leads exploring how AI coding tools can transform team productivity and development processes.
Prompt Engineers: Those studying effective prompt patterns specifically for code assistant tools and software development tasks.
Eric Zakariasson offers a unique blend of product builder, educator, and experimenter perspectives that make his X profile essential following for anyone serious about mastering AI-assisted development and staying ahead in the rapidly evolving world of intelligent developer tools.
Eric Zakariasson is a developer experience engineer at Cursor AI (Anysphere), creator of popular MCP servers including uber-eats-mcp-server and pg-mcp-server, and a contributor to OpenAI's GPT-5 prompting guide. He shares extensive insights on AI-assisted development and autonomous coding workflows.
Eric posts about AI coding tools (especially Cursor), prompt engineering techniques, MCP server development, autonomous AI agents, practical coding experiments, developer productivity workflows, and real-world insights from building at the frontier of AI-assisted development.
Follow Eric for insider perspectives on Cursor AI features, practical prompt engineering frameworks, open-source MCP server projects, real-world AI coding experiments (like his 24-hour autonomous agent test), and actionable advice on maximizing AI coding tool productivity.
Eric is known for creating popular MCP servers with hundreds of GitHub stars, running extensive AI agent experiments, contributing to OpenAI's GPT-5 prompting guide, and teaching developers how to effectively use AI coding tools through detailed threads and demonstrations.
MCP (Model Context Protocol) servers extend AI agent capabilities by enabling them to interact with external services. Eric builds MCP servers like uber-eats-mcp-server and pg-mcp-server to demonstrate practical integrations and help developers understand how to enhance AI coding workflows with external data and automation.
Before joining Cursor, Eric led frontend development at Waytobill payment solutions startup, where he architected their entire frontend infrastructure. With a decade of development experience across industries, he brings full-stack expertise spanning frontend, backend, automation, and technical leadership.
Eric uses Cursor Agent with parallel workflows, running 1-3 agents simultaneously on clearly defined, non-overlapping tasks. He emphasizes context management, autonomous prompting, self-verification patterns, and has experimented with running agents for 24 hours continuously to test autonomous capabilities.
Eric teaches comprehensive prompt engineering frameworks including how tool access changes prompt design, context management strategies, self-verification patterns, model selection guidance, and parallel agent workflows. His approach focuses on practical patterns that work in real-world coding scenarios.
Follow @YifanBTH for data-driven analysis of AI coding tools, model comparisons, and cost optimization strategies. Former Improbable founding team member sharing insights on Claude, Cursor, Gemini, and multimodal AI development.
Follow Lee Robinson (@leerob) - VP of Developer Experience at Cursor, former Vercel leader. Learn Next.js, React, AI coding with Cursor, web performance, and developer experience best practices from an industry expert with 200K+ followers.
Follow David Ondrej (@DavidOndrej1) for AI development insights, Cursor tutorials, and workflow automation. Founder of Vectal.ai with 300K+ YouTube subscribers.