Delphi & ACBr

More productivity with Delphi and ACBr. More judgment when using AI.

ACBr with AI in Practice

Artificial intelligence applied to everyday development with Delphi and ACBr

Turn AI responses into Delphi solutions you understand, test, and maintain.

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This book is currently available in Brazilian Portuguese.

EditionIn preparation2026Book languagePortugueseBrazilFormatsComing soonComing soon

About the book

A complete view of the book.

ACBr with AI in Practice shows how to incorporate artificial intelligence into everyday Delphi and ACBr component development without confusing speed with certainty. It begins with real tasks—understanding a project, locating sources, configuring components, filling documents, interpreting responses, and investigating failures—to teach productive AI use while preserving control over the code.

Across four parts, readers follow a fictional Delphi VCL retail application through NFC-e issuance in the testing environment. Context, documentation, schemas, compilation, tests, logs, review, and traceability form an evidence chain that turns AI suggestions into solutions developers can understand, verify, and maintain.

The challenge

Does this situation sound familiar?

AI can explain code, suggest configurations, and produce implementations in seconds—but a convincing answer may still use a nonexistent API, ignore the installed version, or propose an unsuitable fiscal workflow.

The book’s approach

A path from intention to practice.

Learn to provide context, consult applicable sources, constrain tasks, and validate every result through compilation, tests, schemas, testing environments, and review proportional to risk.

“An AI response is raw material. The work ends when there is evidence proportional to the risk.”

By the end of the book, you will be able to:

✓Identify where AI truly saves time in ACBr development

✓Prepare Delphi project context without exposing secrets

✓Guide AI with sources, instructions, and validation criteria

✓Configure, fill, and validate fiscal documents in the testing environment

✓Diagnose rejections and failures with logs, tests, and debugging

✓Update and deliver integrations with traceability and security

Questions that guide the reading

Answers begin with the right questions.

Questions explored through context, criteria, and examples.

Where does AI save time without taking over technical or fiscal decisions?

Which context and sources reduce suggestions that are incompatible with the project?

How should configuration, document filling, and issuance be validated before production?

How can logs and rejections become experiments that reveal the cause?

Inside the book

A structured journey that helps you move forward.

Concepts and applications presented in a coherent sequence.

AI, context, and evidence

Recognize tasks suited to AI, prepare sufficient context, and distinguish responses, sources, and evidence.

ACBr environment and architecture

Understand installation, project structure, and responsibilities in an integration that directly uses ACBr components.

Configuration and testing

Separate parameters from secrets, configure certificates, and build a safe preflight for the testing environment.

Fiscal documents and issuance

Map fictional data, validate schemas, and treat issuance, responses, XML, events, and printing as verifiable states.

Diagnosis and validation

Organize facts, hypotheses, and experiments; use compilation, DUnitX, diffs, and adversarial review to validate changes.

Maintenance and delivery

Compare versions, protect data, preserve reversibility, and bring the complete method together in a traceable project.

Explore the companion resources

Content in preparation

Planned book structure

Explore the 4 parts and 12 planned chapters. Titles may be refined during editorial review.

View chapters12 chapters

Part I — Working with AI and ACBr

Where AI saves time in ACBr development
Preparing Delphi project context
Sources, instructions, and skills for safe work

Part II — Developing with ACBr components

Understanding and preparing the ACBr environment
Integration architecture in Delphi
Configuration, certificates, and testing
Filling and validating the fiscal document
Issuance, responses, XML, events, and printing

Part III — Diagnosis and validation

Logs, responses, rejections, and assisted debugging
Tests, compilation, and review of AI-produced code

Part IV — Maintenance and delivery

Updating and protecting an ACBr integration
Complete project: from request to validated issuance

What makes this book different

Depth to understand. Clarity to keep moving forward.

Direct use of ACBr components in Delphi VCL

An NFC-e integrator project using fictional data in a testing environment

Compiled code, tests, and evidence as part of the method

Security, limits, and fiscal responsibility throughout the journey

Who this book is for

Knowledge that becomes action.

Delphi developers who use or plan to use ACBr components directly will find a direct approach connected to concrete problems.

✓ Delphi developers who use ACBr components✓ Professionals maintaining retail and fiscal systems✓ Technical leaders seeking productivity with control✓ Teams updating or modernizing ACBr integrations

Before you begin

What you need to benefit from the book

✓Basic knowledge of Delphi, Object Pascal, and VCL projects

✓Familiarity with debugging, databases, and Git is helpful; AI expertise is not required

An informed choice

This may not be the right book if…

—Readers seeking a complete course in tax law or accounting

—Readers who want to copy AI responses into production without validation

Why this author, on this subject

Experience that gives the reading context.

An Embarcadero MVP and Delphi developer for more than 20 years, Régys connects his experience in corporate, fiscal, and retail automation systems to the responsible use of artificial intelligence in ACBr development.

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