coding
Coding Pack
Technical planning, implementation, test repair, and review before merge.
A repeatable workflow from idea to production. For technical founders who already code.
Agent Library included
CourseAI teaches the workflow, while Agent Library gives you the components to install it in a repository: product planning, coding, testing, UI, quoting, and growth research.
Example install command
npm run install:claude -- --pack coding --target ../your-project Each pack installs selected agents into .claude/agents and an optional command wrapper into .claude/commands. You start from one pack instead of manually copying prompts.
coding
Technical planning, implementation, test repair, and review before merge.
product
PRD, roadmap, UX, and interface contract before an agent starts coding.
quote
Messy client notes into a quote-ready package and proposal handoff.
growth
Targeting, competition, branding, pricing, and offer direction from research.
ui
Hooks, offer copy, landing pages, presentation pages, UX, and UI review.
implementation
Design docs, spec sync, dependency graph, and demo data for rollouts.
testing
LLM flow tests, Goose scenarios, Playwright E2E, and evaluation quality.
repo-health
Repo status, worktree/branch triage, cleanup risk, and reporting.
docs
Docs audit, updates, AI instructions, translation, and status reports.
search
SEO, GEO, AI visibility, and crawler citation readiness.
agent-creation
Create, audit, and improve portable agents for future workflows.
12 chapters. 4 phases. From setup and execution contracts to the decision layer, fleet, and worktrees.
Phase 1
You set up the environment, take control of the brief, and build your first agent so the workflow starts with clear boundaries instead of improvisation.
Chapter 01
You configure the terminal, Copilot CLI, and first instructions so the agent works inside a real repo instead of guessing.
Chapter 02
You turn vague requests into an execution contract with constraints, decomposition, and a stop-on-ambiguity rule.
Chapter 03
You build an agent from scratch and learn the difference between chat, a skill, and an autonomous workflow.
Phase 2
You shape scope in a PRD, turn it into a technical plan, and close the response format so the agent ends in a decision-ready state.
Chapter 04
You decide when a feature needs a PRD and capture scope, out-of-scope, and acceptance criteria without drifting into implementation.
Chapter 05
You research the repo, close gaps through Q&A, and turn scope into a technical contract for the coder.
Chapter 06
You force answers that are ready for a decision: Done, Test, Benefit, ELI5, and meaningful [A][B][C] options.
Phase 3
You validate direction before implementation and then standardize and improve agents so quality scales with the system.
Chapter 07
You validate direction, trade-offs, and architecture through deliberation before paying the implementation cost.
Chapter 08
You standardize agent creation through a shared file contract, taxonomy, placement, and responsibility boundaries.
Chapter 09
You improve existing agents through experiments, diagnosis, and the forge loop instead of rewriting them from scratch.
Phase 4
You move from one chain to parallel lanes and then to multiple worktree-backed sessions so execution scales without losing ownership.
Chapter 10
You move from manually steering the agent to one goal and one chain that carries the full flow.
Chapter 11
You run the same chain in parallel across multiple lanes and learn how to parameterize fleet work without chaos.
Chapter 12
You scale further through isolation: separate worktrees, branches, and PR handoff for each mutating session.
Your backlog is bigger than one person's weekly capacity
You want to ship faster without handing your roadmap to agencies or freelancers
You need leverage that increases output without forcing early hiring
You know the bottleneck isn't code quality — it's throughput
You want to shorten the path from issue to ready PR, not just type functions faster
You have a side project or product idea and no energy for a second full shift after work
You are just entering AI coding and want a concrete workflow instead of chaos
You need a system that shows what to do step by step, not another list of tools
You want to build your first working app instead of getting stuck in tutorials and prompts
Pricing
one-time · 30 days
— 30 days of course updates
+ All chapters, examples, and working materials
+ Self-serve — learn and implement at your own pace
1197 PLN + VAT upfront for 3 months
+ Full CourseAI program without the 30-day limit
+ 3 months in the private founder community included
+ 2× live Q&A per month
+ Feedback on your product and workflow
+ Networking with other founders
one-time
— Everything in Founder
+ 8×30 min 1:1 sessions
+ Architecture review for your product
+ Roadmap and build sprint priority review
+ Support adapting the workflow to your project
+ Priority feedback on high-stakes decisions
Priced for a team of up to 4 coders
We work together on improving your team's efficiency
Implementation workshop for the team
Dedicated webinar tailored to the company
Rollout plan after the workshop
Additional seats and broader scope are quoted separately
Who’s behind it
Founder-builder and AI Engineer @ AwesomeWorks
6 years as a developer before building with agents. Today I build my own SaaS products with the workflow I teach in CourseAI.
"Agents can increase velocity — but only if you understand the system you’re building with them."
Yes. CourseAI is for people who already code. I show you how to build faster with agents, not how to start programming.
Most materials show individual tools. CourseAI shows the full operating model: idea to spec to agents to production.
No. Builder Pass is a one-time 30-day access. Founder is the better choice if you want community and implementation support.
90-Day Build Sprint: full program, 3 months of founder community, 2× live Q&A per month, product feedback.
Yes. The full course is in Polish. Tools, commands, and some working materials are naturally in English because that’s how the developer ecosystem works, but I explain everything clearly in Polish.
Yes, VAT invoices included. 7-day money-back guarantee, no questions asked.
No. CourseAI is a series of articles written specifically as an easy-to-follow course. Chapters are written and updated on an ongoing basis. You get access to a living, evolving resource — not a frozen package.
No. There won't be a second version you need to buy again. What you're buying is continuous access to my knowledge and experience, shared directly with students. The course grows and improves over time — you're always on the latest version.
Regularly. New chapters, refinements, and real-world examples are added as the workflow evolves. Builder Pass includes 30 days of updates. Founder gives you ongoing access.
Join CourseAI and install a workflow that helps you ship faster.
This is the speed you're buying into
This is the speed you're buying into