Claude Code
Claude Code is powerful. Getting productive with it takes more than installing it.
Claude Code changes how you develop. But the learning curve is real. Context windows, MCP servers, CLAUDE.md files, workflow design, subagents, hooks — there’s a lot to figure out before it starts working with you instead of against you.
I've been using Claude Code daily in production for over a year. I help engineers and teams build a deliberate practice around it so they get real results, not just interesting demos.
Rolling out Claude Code across your engineering team? Book an intro call to scope a project →
Who This Is For
- Developers who installed Claude Code and aren't sure they're using it effectively
- Engineers who want to build a real workflow around it, not just use it ad hoc
- Engineers with an AI coding practice and no peer to compare it against
- Developers building MCP servers or custom tooling and hitting walls
How We Work Together
AI-Native Engineering Coaching
$5,500 · 6 weeks
For engineers who want a deliberate AI coding practice. Claude Code and Codex are the main reference tools; the patterns transfer across AI coding tools.
We work through your actual setup, codebase, and habits: stack configuration, steering, iterative planning, feedback loops, when not to use AI, and practice review.
Explore AI-Native EngineeringOne-Off Working Session
Starts with a 30-min call
For a specific Claude Code, Codex, or AI coding workflow problem that does not need a six-week arc.
We scope the problem first. If there is a tight working session to run, we book it from there; if not, I'll say so.
See coaching pathsProduction AI Retainer
For teams shipping production AI features — Claude Code rollouts, custom CLAUDE.md systems, MCP servers, and integration work.
Built on your actual codebase. Starts with a 2-week Foundation Sprint, then ongoing retainer at the intensity you need.
How we work togetherWhat Clients Say
"I discovered Damian on YouTube. I found his videos especially clear-headed. I booked a couple of private sessions to discuss OpenClaw, and to my delight, he was equally clear-headed in person."
"Working with Damian was one of the most productive technical sessions we've had. He quickly understood where we were with AI tooling and gave us immediately actionable advice, not generic frameworks. He identified gaps we hadn't considered, walked us through how he architects agent loops in production, and helped us think through our product-level agent strategy without over-engineering it. If you're a technical founder trying to move faster with AI, Damian is the person to talk to."
Go Deeper
Practical articles from my experience using Claude Code in production every day.
How I Use Claude Code: My Complete Development Workflow
After 8 months with Claude Code, here's my actual process: Linear for issues, MCP servers for context, Obsidian for knowledge.
Understanding Claude Code's Context Window
How the context window works, what consumes tokens, and how to manage it effectively with subagents and skills.
Build Efficient MCP Servers: Three Design Principles
Token efficiency matters. Real reductions: 746k to 262 tokens. Three principles for building MCP servers that don't blow your context.
Ready to Get More Out of Claude Code?
Book a 30-minute intro call and we'll decide whether AI-Native Engineering coaching, a one-off working session, or a team engagement is the right fit.
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Practical insights on Claude Code, AI workflows, and shipping real products with AI tools.
Occasional emails. No fluff.