Combine Skills and MCP to Close the Context Gap — Pedro Rodrigues, Supabase

AI Engineer · Beginner ·🤖 AI Agents & Automation ·1h ago
Agents working with Postgres will confidently create a view over a table with row-level security enabled and silently bypass that security in the process. Not because they can't reason. Because they don't know about the security_invoker flag, and nobody told them. Pedro Rodrigues from Supabase ran this exact test: same agent, same task, MCP alone versus MCP plus a skill. The one without the skill shipped a query that exposed data it shouldn't have. The talk covers what Supabase learned building their agent skill from scratch: critical security rules go directly in skill.md because agents will reliably skip reference files, skills should point to living documentation rather than duplicate it, and opinionated workflow guidance matters more than comprehensive coverage. Their evals ran across Claude and GPT models in three conditions and the result was unanimous. Skills without MCP underperform. MCP without skills misses environment-specific constraints. Together they close the gap that makes agents unreliable on real production systems. Speaker info: - https://x.com/rodriguespn23 - https://www.linkedin.com/in/pedro-neves-rodrigues/ - https://github.com/Rodriguespn
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The AI Bridge Problem: Why Enterprise AI Integration Is an Architecture Challenge, Not an AI Challenge
Enterprise AI integration is an architecture challenge, not an AI challenge, requiring a focus on bridging complex systems
Dev.to AI
BizNode's self-healing watchdog auto-restarts crashed services. Zero downtime, zero babysitting needed
Learn how BizNode's self-healing watchdog ensures zero downtime for services, eliminating the need for manual intervention
Dev.to AI
Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3
Learn to restrict access to sensitive documents in Amazon Quick knowledge bases for Amazon S3 by configuring document-level ACLs
AWS Machine Learning
The Context Layer: Why Enterprise AI Agents Fail Without It — and What It Actually Takes to Fix That
Enterprise AI agents often fail due to lack of context, but understanding the four-layer context problem can help fix this issue
Dev.to · Swapnil Chougule
Up next
I Tested 3 Ways to Deploy Claude Agents (Here's When to Use Each)
Nate Herk | AI Automation
Watch →