user@machine: ~/code-agents-ts

AI writes the code.You build the system.

The complete ClaudeClaude Code course for engineers and technical founders. Build the TDD pipelines, guardrails, and verification systems that turn AI-generated code into production-grade software. Apply everything to your own project.

~/market

# The market is splitting in two.

// Engineers who build systems around AI are pulling ahead.
// The rest are competing for fewer spots.

Warning
-33%
DEV_POSTINGS

Software dev job postings fell 33% since 2020 - while overall hiring across all sectors is up 10%. The biggest boom-and-bust of any industry.

Edge
+56%
WAGE_PREMIUM

Engineers with AI skills earn 56% more than identical roles without. Doubled from 25% in just 12 months. The gap is accelerating.

Opportunity
36.3%
SOLO_FOUNDERS

One in three startups are now solo-founded - up from 24% in 2019. AI expanded what one person can build. The cofounder mandate is fading.

~/outcomes

# Measured results. Not promises.

// Peer-reviewed research, Big 4 reports, first-party platform data.

src/agent/pipeline.ts
8- await sleep(30_000);
8+ await agent.plan();
9+ await agent.execute();
10 return result;

Ship_Mode

55%Faster

Developers completed tasks 55% faster with AI assistance. Google's internal RCT: 21% faster at enterprise scale. Copilot Enterprise: PR cycle times dropped 75%.

quality-gate.log
Type coverage: 98.2%
Zero lint warnings
Security scan: clean
Tech debt score: A

Quality_Gate

Less Debt

AI without guardrails drives 8x more code duplication and rising churn. DORA 2025 confirms: AI amplifies existing team quality. With TDD: 85% faster test coverage and 56% more tests pass.

Queue
Agent
Done

Autonomous_PR

67%More PRs

Engineers using Claude Code merged 67% more PRs daily. Faros AI (10,000+ devs): heavy AI users merge 98% more PRs. 27% of work was tasks that would not have been attempted without AI.

Revenue/employee: $420K
Industry avg: $73K

Solo_Founder_Mode

5.7×Rev/Employee

AI-native startups generate $3.48M revenue per employee vs $610K for traditional SaaS. Fortune: top engineers at Anthropic and OpenAI report AI writes 100% of their code. AI companies reach $30M ARR in 20 months vs 60+.

14:02:22[SALES]Lead qualified: high_intent
14:02:24[OPS]Invoice generated #9921
14:02:25[SUPPORT]Ticket resolved automatically
14:02:28[SALES]Outbound sequence started

Founder_OS

$40MSaved

Klarna's AI agents handle 2.3M conversations/month, replacing 700 full-time agents. Resolution: 11min to 2min. Deloitte 2026: 66% of enterprises report AI productivity gains. Gartner: 80% of support autonomous by 2029.

wage-premium.analysis
Standard
+AI Skills

Career_Shield

+56%Wage Premium

AI-skilled engineers earn 56% more in every industry analyzed. JetBrains and Stack Overflow confirm: 85% of devs now use AI tools. 39% of core skills will change by 2030. The gap is widening now.

~/packages

Essentials

v0.0.1-alpha · Pre-order
presale// locks in at checkout
The complete AI-native engineering toolkit.
  • 10-chapter course: AI-native workflows
  • Starter repo: meta skills, commands, agents, and example hooks and CLAUDE.md
  • A feedback loop with quality guardrails
  • A complete agentic SDLC workflow running on your machine
  • Context management for cost-efficient sessions
  • Lifetime access, every future update included
Best Value

Autopilot

v0.0.1-alpha · Pre-order
presale// locks in at checkout
Create tasks on mobile. Wake up to merged PRs.
  • Everything in Essentials
  • PRP templates, issue tracking integration for autonomous agents
  • Memory persistence hooks for cross-session continuity
  • Multi-agent orchestration with multi-model review
  • Extended quality gates, running on CI/CD pipelines
  • Complete issue-to-PR pipeline with Docker
  • Autonomous loop configuration (Ralph Wiggum, stop hooks and more)

Operator

v0.0.1-alpha · Pre-order
presale// locks in at checkout
You operate the system. Agents run the business.
  • Everything in Autopilot
  • Cloud VM deployment with mobile management
  • Custom plugins: build, package, and distribute
  • Agent SDK services deployed as infrastructure
  • Swarm orchestration for parallel workstreams
  • Business automation: support, content, ops
  • ALL premium plugins and agents (exclusive)
pricing.lock

$ cat .price-lock.json | jq '.courses[]'

~/curriculum

# What You'll Build

// 3 courses. 24 chapters. One transformation: from prompting LLMs to engineering the systems that keep AI output production-grade.

git diff career.ts
--- a/career/before.ts
+++ b/career/after.ts
AI generates code but nothing catches regressions
No test coverage, no hooks, no verification
Every new feature breaks two existing ones
Scaling means scaling the bugs
"The AI wrote it" - but nobody reviewed it
+ TDD pipelines catch regressions before merge
+ Hooks, guardrails, and quality gates run automatically
+ Every change verified against your full test suite
+ Scale output without scaling tech debt
+ AI writes it, your system proves it works

Essentials

Turn yourself into an AI-native hyper-velocity engineer. Go from unverified AI output to a complete engineering system with TDD, hooks, and guardrails that makes every generation production-grade.

What you'll deliver

A fully configured Claude Code environment with TDD pipeline, custom skills for your stack, and autonomous task loops running on a real project.

"I can build any product I like and scale it to production. And I do it while I sleep."

~/about
MAINTAINER.md

# Önder Ceylan

@onderceylanAward-winning SWEGoogle Developer Expert (AI for Web Developers)
## Built with Claude

I built this entire platform with Claude Code, but the real story is the system underneath: TDD pipelines, hooks, and guardrails that kept the codebase clean as it scaled. That system is what I'm here to teach you.

#dogfooding#agentic#buildinpublic
~/referral

# Share the knowledge. Help your peers level up.

// First few course chapters are yours, free, no strings.
// Share with colleagues who'd benefit, and more content opens up for you too.

Share with colleagues who'd find this useful:

1 colleague
Chapter 4
Optimizing permissions
3 colleagues
Chapters 5-6
Guardrails and feedback loops
5 colleagues
Chapters 7-8
TDD and the complete SDLC workflow
10 colleagues
Chapters 9-10
Complete Essentials curriculum, free
Help fellow engineers level up ➜

Referrals confirm once your colleague starts learning. This keeps things fair for everyone.

~/teams

# Teams. Coming soon.

// Get your team AI-native.
// Let me know you're interested and I'll reach out when team licensing is ready.

Team size
Current AI tools (select all that apply)
                           /$$                                                            /$$                           /$$
                          | $$                                                           | $$                          |__/
  /$$$$$$$  /$$$$$$   /$$$$$$$  /$$$$$$          /$$$$$$   /$$$$$$   /$$$$$$  /$$$$$$$  /$$$$$$   /$$$$$$$     /$$$$$$  /$$
 /$$_____/ /$$__  $$ /$$__  $$ /$$__  $$ /$$$$$$|____  $$ /$$__  $$ /$$__  $$| $$__  $$|_  $$_/  /$$_____/    |____  $$| $$
| $$      | $$  \ $$| $$  | $$| $$$$$$$$|______/ /$$$$$$$| $$  \ $$| $$$$$$$$| $$  \ $$  | $$   |  $$$$$$      /$$$$$$$| $$
| $$      | $$  | $$| $$  | $$| $$_____/        /$$__  $$| $$  | $$| $$_____/| $$  | $$  | $$ /$$\____  $$    /$$__  $$| $$
|  $$$$$$$|  $$$$$$/|  $$$$$$$|  $$$$$$$       |  $$$$$$$|  $$$$$$$|  $$$$$$$| $$  | $$  |  $$$$//$$$$$$$//$$|  $$$$$$$| $$
 \_______/ \______/  \_______/ \_______/        \_______/ \____  $$ \_______/|__/  |__/   \___/ |_______/|__/ \_______/|__/
                                                          /$$  \ $$
                                                         |  $$$$$$/
                                                          \______/                                                         

Build the system. Ship with confidence.

Start Building →

Level up your AI skills for free, no credit card.