engineer@aine:~$ ls -la press-kit/
Press kit.Take what you need.
Everything a podcast, newsletter, conference or bookshop needs, with nothing to request by email. Copy the bios, download the images, use the talking points.
- 5 assets
- 3 bio lengths
- 8 talking points
- Title
- Learning AI-Native Software Engineering
- Subtitle
- Building software with AI agents and spec-driven development
- Author
- Alfonso Graziano, AI Lead at Nearform
- Publisher
- O'Reilly Media
- Status
- Early Release — manuscript due 25 November 2026
- Length
- 11 chapters, 392 sections, ~135k words
- Audience
- Mid-level to staff engineers, tech leads, engineering managers
- Site
- ainativesoftware.engineering
- Speaking
- 7 talks in rotation, 13 appearances
Learning AI-Native Software Engineering teaches professional engineers how to build reliable, production-grade software by integrating AI across the entire development lifecycle — not as a tool, but as a core engineering capability.
Alfonso Graziano is an AI Lead at Nearform and the author of Learning AI-Native Software Engineering (O'Reilly).
Alfonso Graziano is a hands-on AI Lead at Nearform, where he builds AI agents and runs them in production, and drives AI-native engineering adoption across the whole engineering department. He wrote an MCP server for Node.js with over 100,000 downloads on Docker Hub and has given more than 20 conference talks across Europe and the US. He is the author of Learning AI-Native Software Engineering (O'Reilly).
Alfonso Graziano is a hands-on AI Lead at Nearform who builds AI agents and uses edge AI tools in production every day. He is driving the adoption of AI-native engineering across his company's entire engineering department, helping teams move from ad-hoc AI use to structured, production-ready workflows. Alfonso built an MCP server for Node.js that has over 100,000 downloads on Docker Hub, giving developers a practical way to integrate AI into their environments. He has delivered more than 20 conference talks across Europe and the US on career development, deep technical topics and AI, and is active in the community, sharing practical insights on AI and software engineering with thousands of followers on LinkedIn. Based in Italy, Alfonso writes and speaks from the perspective of someone who ships AI-powered systems, designs agent workflows, and coaches teams on AI-native engineering.
- 01Why buying every engineer an AI licence moves no metric on its own.
- 02The three named ways vibe coding fails in production, and why they are predictable.
- 03What actually changes in the engineering role: from implementer to orchestrator.
- 04Context engineering as the discipline that replaced prompt engineering.
- 05Why the bottleneck moved from writing code to trusting it, and what to do about it.
- 06The harness as the real deliverable of an AI-native team, and why it compounds.
- 07Where humans must stay in the loop, and how to calibrate that to risk.
- 08How many agents one engineer can actually supervise, honestly.
downloads
usage
- Use the bios, one-liner and talking points as-is, or edit them for length. No attribution needed for those.
- Use the cover and headshot for anything promoting the book, a talk, or an interview.
- Do not alter the cover artwork or use it to imply an endorsement from O'Reilly Media.