Every AI coding agent learns from context. The hard part is deciding what should be remembered—and who should remember it.
In this special "Just Vibes Allowed" episode, Dex and Vaibhav workshop a new HumanLayer feature called Context Shards, a system designed to capture the knowledge teams repeatedly teach their agents and turn it into shared context for everyone. Rather than storing every interaction, the goal is to identify the patterns that matter, surface them for review, and build a single source of truth that improves every future coding session.
Along the way, they demonstrate what collaborative product design actually looks like. From challenging assumptions and simplifying the user experience to designing rollout strategies, human review loops, and supervisor agents, the episode becomes a live case study in building AI products through rapid iteration instead of isolated implementation.
TIMESTAMPS
Why AI Memory Systems Keep Failing
What This Episode Covers
Building a Shared Memory System for Your Team
Why Claude's Memory Can Become a Bad Habit
Instructions vs. Information: Does the Difference Matter?
Designing Context That Doesn't Become Slop
One Source of Truth for Your Entire Team
Always-On Context vs. Task-Specific Context
Why Prototypes Beat Building the Wrong Product
How Great Teams Design Features Together
Launch AI Features Before They're Perfect
Building the First Milestone Instead of the Whole Product
Whiteboarding a Supervisor Agent Architecture
Why Human Approval Still Matters
Using Human Feedback to Improve AI Memory
The Hardest Problem in Context Engineering
Turning Product Design Into Working Software
Why Big Features Should Ship in Small Milestones
Why Voice Is the Fastest Way to Work With AI
Building Better AI Workflows Through Team Collaboration
System Design Before Implementation
#AIThatWorks #ContextEngineering #AIAgents #SoftwareEngineering #ProductDesign #HumanLayer #AIEngineering #CodingAgents #ArtificialIntelligence