Muhammad Usman Akbar · Technical Press

A free technical library for building the AI-native future.

Muhammad Usman Akbar's free book collection spans agentic engineering, software sales, cloud, frontend and backend development, PostgreSQL, and vector retrieval. Every volume combines first-principles explanation, real practice, AI pairing patterns, and independent verification.

Edition shelf · 31 July 2026

The complete shelf

Choose a volume. Keep the whole library.

Each volume has its own table of contents, search, chapter navigation, and machine-readable index.

  1. 01Intermediate to advanced

    Volume 01

    Digital FTEs: Engineering

    Achieving 10× Productivity

    Subject
    Spec-driven engineering and autonomous AI systems
    Built for
    Engineers and technical leaders building agentic systems
    Sections
    13
    Chapters
    402
    • Spec-driven development
    • Context engineering
    • Multi-agent systems
    Explore the bookStart reading
  2. 02Beginner to advanced

    Volume 02

    AI-Native Sales

    The Complete Guide to Selling Software & AI in 2026

    Subject
    Modern software and AI sales from research to enterprise scale
    Built for
    Founders, sales leaders, consultants, and technical sellers
    Sections
    4
    Chapters
    48
    • ICP and positioning
    • Discovery and demos
    • Enterprise trust
    Explore the bookStart reading
  3. 03Zero to production

    Volume 03

    AI-Native Cloud on Microsoft Azure

    From Zero to Production

    Subject
    Microsoft Azure foundations, automation, AI, and architecture
    Built for
    Cloud beginners, developers, operators, and architects
    Sections
    10
    Chapters
    52
    • Azure foundations
    • Infrastructure as code
    • Microsoft Foundry
    Explore the bookStart reading
  4. 04Zero to expert

    Volume 04

    AI-Native Frontend Development

    From Zero to Expert with Next.js, TypeScript & Tailwind CSS

    Subject
    Frontend engineering from browser fundamentals to production judgment
    Built for
    Complete beginners, working developers, and technical leaders
    Sections
    11
    Chapters
    11
    • TypeScript and React
    • Next.js App Router
    • Tailwind CSS 4
    Explore the bookStart reading
  5. 05Zero to production

    Volume 05

    AI-Native Backend Development

    Python, FastAPI, PostgreSQL, Redis, and Intelligent Systems

    Subject
    Backend engineering from zero knowledge to production AI systems
    Built for
    Complete beginners, backend engineers, AI engineers, and architects
    Sections
    11
    Chapters
    56
    • Python and FastAPI
    • PostgreSQL and Redis
    • RAG, agents, and operations
    Explore the bookStart reading
  6. 06Zero to production

    Volume 06

    AI-Native Agent Engineering

    From Zero to Production with OpenAI Agents SDK, Claude Agent SDK, and AI Harnesses

    Subject
    AI agent development, provider SDKs, production harnesses, and operations
    Built for
    Complete beginners, AI engineers, platform teams, and architects
    Sections
    6
    Chapters
    52
    • OpenAI Agents SDK
    • Claude Agent SDK
    • AI harness engineering
    Explore the bookStart reading
  7. 07Zero to expert

    Volume 07

    AI-Native Relational Databases with PostgreSQL

    From First Table to Production Intelligence

    Subject
    Relational databases, production PostgreSQL, pgvector, and governed RAG
    Built for
    Complete beginners, developers, data engineers, DBAs, and AI engineers
    Sections
    10
    Chapters
    52
    • SQL and data modeling
    • PostgreSQL operations
    • pgvector and RAG
    Explore the bookStart reading
  8. 08Zero to production

    Volume 08

    AI-Native Vector Databases with PostgreSQL & pgvector

    From Zero to Production RAG, Search, and Agent Memory

    Subject
    Vector databases, hybrid retrieval, RAG, and agent memory with PostgreSQL
    Built for
    Complete beginners, AI engineers, database teams, and architects
    Sections
    10
    Chapters
    64
    • PostgreSQL and pgvector
    • Hybrid retrieval and RAG
    • Agent memory and operations
    Explore the bookStart reading

Which learning path should I take?

Begin with the problem you need to solve. The books complement one another, so your second volume can deepen the product, business, cloud, or engineering side.

  1. 01I want to engineer autonomous AI systems.Start with Digital FTEs for specification, context, and multi-agent engineering.
  2. 02I need to sell software or AI responsibly.Choose AI-Native Sales for research, discovery, demos, trust, and scale.
  3. 03I need cloud foundations through production architecture.Use the Azure volume for identity, cost, services, AI, automation, and operations.
  4. 04I want to build modern web products from zero.Follow AI-Native Frontend from browser basics through Next.js production judgment.
  5. 05I want to build secure APIs and AI backends.Use AI-Native Backend for Python, FastAPI, data, caching, RAG, and operations.
  6. 06I need to engineer dependable AI agents.Choose AI-Native Agent Engineering for SDKs, harnesses, evaluation, and production safety.
  7. 07I need relational data and production PostgreSQL.Start with the PostgreSQL volume for SQL, modeling, operations, and governed AI data.
  8. 08I need vector search, RAG, or agent memory.Use the pgvector field manual for embeddings, retrieval, evaluation, and production operations.

Reader questions

What should you know before opening a volume?

Are all books in the library free to read online?
Yes. Every listed book and chapter is available on this website without a paid subscription. Choose a volume, open its complete table of contents, and begin with the first chapter or the section that matches your current work.
Which book should a complete beginner read first?
Choose AI-Native Frontend Development if you want to build web interfaces from the beginning, or AI-Native Cloud on Microsoft Azure if your goal is cloud operations and architecture. Both define foundational terms before moving into production decisions.
How do the books use AI without creating dependency?
The books teach AI as a bounded collaborator. You provide context and acceptance criteria, inspect proposed changes, run independent checks, and keep human responsibility for architecture, accessibility, security, permissions, destructive actions, and production release decisions.
Can an experienced engineer jump directly to an advanced section?
Yes. Each landing page exposes the full server-rendered contents, and every chapter has a stable direct link. Experienced readers can enter by topic, while beginners should follow the numbered progression so later projects build on earlier mental models.

Beyond the shelf

Learn the systems. Then apply them to a real operating problem.

Read more about Muhammad Usman Akbar, explore practical AI engineering insights, or review the AI Native Consultant approach before discussing an implementation.

Book a strategy call