Book by Marcel Lewandowski AI software engineering
The End of Traditional Software Development
Most companies will not fall behind because they refused AI. They will fall behind because they bought AI tools and kept the old development model.
This is not a book about “AI writing code faster”. It is about the shift from traditional software delivery to AI-native engineering operations: repository memory, agent workflows, browser QA, MCP-connected tools, isolated worktrees, reviewable background execution and teams that treat engineering work as an orchestrated system.
Product details
- ASIN
- B0H35WZZSZ
- Format
- Digital book
- Language
- English
- Author
- Marcel Lewandowski
- Length
- 57 pages
- Topic
- AI-native engineering operations
- Publisher
- Marcel Lewandowski
- Prepared by
- Webase Global
- Current-fact notes
- Checked against official product materials on May 15, 2026
What this book is really about
The book argues that the real advantage is execution capacity, not autocomplete. It breaks down why the strongest practical stack is not one model or one editor, but a coordinated operating layer: Cursor as the AI-native cockpit, Claude Code as the programmable workflow engine, Codex as the delegated execution layer, and MCP as the controlled bridge into real systems.
- Why AI tools alone do not create leverage.
- How old delivery queues make AI adoption look fake.
- Execution capacity, not faster autocomplete.
- The four layers: context, tools, workflows, review.
- Repository memory as a business advantage.
- Agent instructions that reduce repeated explanation.
- Cursor as the human-agent engineering cockpit.
- Claude Code as programmable engineering behavior.
- Codex as delegated, reviewable execution.
- MCP as access to real systems, not guesses.
- Browser QA as proof, not opinion.
- Worktrees for safe parallel agent work.
- Self-healing repos without unsafe autopilot.
- Scheduled engineering checks nobody forgets.
- Permission design before agents touch production.
- A 60-point AI-native readiness scorecard.
- Five questions before buying more AI tools.
- How small teams become operationally unfair.
If an agent cannot understand the repository, verify its changes, work safely, produce reviewable evidence and turn repeated work into a reusable workflow, more AI subscriptions will not create leverage. They will reveal the operating problem.
