In 2025, the best product teams aren’t the fastest—they’re the ones building momentum.
Here’s why your obsession with output is holding you back—and what to measure instead:
https://t.co/PM82KTdXLT
#prodmgmt#ux#startups#agile#buildbetter
Claude Code ships with 5 architectural layers most engineers never open.
Not features. Not settings. Layers — each solving a distinct problem that LLMs alone can't solve. And four of them have nothing to do with prompting.
Here's the full Agent Development Kit:
Layer 1 — CLAUDE.md → The Memory Layer
Architecture rules, naming conventions, test expectations, repo map. Always loaded. Always active.
Two scopes:
• ~/.claude/CLAUDE.md → global
• .claude/CLAUDE.md → project
This isn't context you paste in before every session. It's context that never needs repeating. The agent's constitution.
Layer 2 — Skills → The Knowledge Layer
Each SKILL.md carries a description. Claude matches it at runtime and forks the skill into an isolated subagent. On-demand, never always-on.
Task-specific knowledge without inflating your main context window. Modular by design.
Layer 3 — Hooks → The Guardrail Layer
PreToolUse → PostToolUse → SessionStart → Stop → SubagentStop
This is the layer most teams skip. And the one they regret skipping first.
Hooks are NOT AI. They're deterministic event-driven shell commands.
• Auto-lint on every Write
• Hard-block on rm -rf
• Slack notification on Stop
Event fires → Matcher checks → Command runs
Quality enforced at the infrastructure level. Not the prompt level.
Layer 4 — Subagents → The Delegation Layer
Each subagent gets its own context window, model, tools, and permissions.
Main agent delegates down. Receives results up. That's it.
No infinite recursion — subagents can't spawn subagents. Main context stays clean. Hard boundaries by design.
Layer 5 — Plugins → The Distribution Layer
Bundle your skills + agents + hooks + commands into a plugin. One install. Whole team inherits the behavior.
Think npm packages — but for what your agent knows how to do.
Wrapping everything:
→ MCP Servers on the left (GitHub, databases, APIs, custom integrations)
→ Agent Teams on the right (parallel execution, message passing, shared permissions)
The 5-layer stack in one line:
CLAUDE.md sets rules → Skills provide expertise → Hooks enforce quality → Subagents delegate work → Plugins distribute to the team
Most production failures in agentic systems trace back to one missing layer.
Which one is the gap in your current setup?
Engineers-turned-PMs destroy design relationships in predictable ways.
I made every mistake for 4 years before finding the solution.
The 2-minute framework that saved countless products: 👇
JUST finished the Slides for my Keynote at Northeastern's PM conference (in Boston, MA)… and decided to share all the slides. 👇
The Aspiring Product Managers Club @ Northeastern University invited me to break down product strategy in 2025.
So many things have changed about strategy since the last content you read:
1. New AI prototyping tools have released
2. Annual planning gets outdated faster than ever
3. PM has become flatter, emphasizing super-IC work
I wanted to create a breakdown of how to handle this.
So I've spent the past week hunkered down...
Collecting all the best insights.
Want my slides?
Shoot me a DM and reply below.
I'll respond with the deck!
10/ Ready to apply this? Start small:
👉 Take your roadmap
👉 Map each initiative to a user & business outcome
👉 Cut anything that doesn’t drive value
Your product (and users) will thank you. 🚀
What are your thoughts on this approach? Drop them below! 👇 #ProductManagement
9/ TL;DR: Product Value-Based Mapping keeps you focused on outcomes, not output.
🔹 Start with business & user value
🔹 Map initiatives to clear goals
🔹 Avoid feature-first thinking
5/ PMF is dynamic. Market expectations shift over time—yesterday’s perfect fit can become today's friction. Continuously track not just satisfaction, but shifts in user expectations.
7/ Bottom line: Deep PMF isn't loud; it’s quiet, habitual, and frictionless. Pay attention to subtle signals—they often reveal the real strength of your fit.