The Boosted Code EBook

How Engineers Can Build Long-Term Career Security, Leverage Agentic AI, And Not Get Lost In The Hype

If you are a engineer, developer, or any other kind of technology professional...

This $5 EBook (and its free bonus companion videos) is for you. What you learn in its 35 pages:

Part I:
Financial Security (For Engineers)

What true job security means today (it's not just about keeping your job)
The easiest way to build your professional network, especially for introverted professions like engineering
The non-technical business topic that every engineer needs to learn to apply in their own career
How to create 'assets' that boost your professional status while you sleep
A 19-minute video that will teach you how to become an idea machine
A simple technique for finding out what employers are truly looking for, and how to signal that ahead of time
the two most important skills to create not just long-term job security, but attract the absolute best opportunities and professional connections to you
The smartest strategy for signaling your value to the job market
How to earn the authority, status and gravitas an author gets from writing a book... without having to write a book yourself
The two most important (and completely non-technical) skills to develop if you want to create long-term career security, fulfillment and growth

Part II:
Agentic Coding

The limitations of LLMs you must understand
Curing the sloppy thinking around "context windows"... what it truly means, and how to think about it when using coding agents
The primary use case for subagents
The AGENTS.md file... how to decide what to put inside it... and why you need to update AGENTS.md as LLMs evolve
The most important word to keep in mind when working with coding AI
How to think about spec-driven development
An alternate mental model for the 'agentic loop', and its pros and cons compared to the most common way it is presented
The most powerful way to use agent skills
Controversial advice on what coding agent to choose

Part III:
Engineering Foundations

How to increase your creativity, to the point your ideas are recognized as rare and valuable
A programming technique extensively used inside the source code of Django, Flask, Pytest, SQLAlchemy, Pandas, Requests, Ansible, Pytest and many other wildly successful libraries and tools... which your team can start using now
How to get into a state of coding flow
The #1 "superpower" tech skill every effective development team holds dear
A different way of thinking about first principles in software engineering
How to NOT shove your performance off a cliff when processing large amounts of data
A case study of the standard Strategy Pattern, and what it reveals about first-principles thinking
The surprising link between OOP and a Harvard psychologist's research
A code example of how to elegantly manage a flakey API endpoint

Bonus Video #1:
The 'Coder Dream Job' Method: How To Promote Yourself As An Engineer

How to leverage cognitive psychology to “pre-suade” people to focus on your best qualities
The easy (and free) technique for researching exactly what skills you need to focus on to land your dream jobs. Now, and for the rest of your career
What kinds of GitHub project will bump your reputation most impressively with the least amount of effort
Becoming an “idea machine”... so you find yourself getting amazing ideas all day long for exciting new program features and inspiring open-source projects
How to take feedback from interviews and turn them into tremendous assets for your coding portfolio
How to write great articles quickly and easily, even if you are a terrible writer now and are certain you can never learn (this is life-changing on its own)
The BEST technical blogging platform to use that makes you look and feel like an in-demand professional even in your first blog post
How the "Marketing Mindset" differs from the "Engineering Mindset"... And how to switch between them as needed
The surprisingly over-powered way to "catch" email addresses of people who follow you (completely legally and ethically, in fact they directly tell you that they want you to email them)
The "accelerator" with the potential to ridiculously amplify all the results you are getting (this one thing will make a night and day difference in the arc of your career)
Current trends affecting our industry, and how they relate to your future career prospects
Why this "self-promotion" toolset is adaptive, and gives you an unfair advantage over other technology workers in the coming years and decades
How to identify and reach out to specific decision-makers who are already primed to think of you as a desirable candidate
The software development style almost no one does, but MASSIVELY optimizes for all the right things when your goal is to get a flood of interviews

Bonus Video #2:
Understanding Coding Agents

Understanding providers, models and tokens
The different "modes" of coding agents, when to use each, and how to use them together
The surprising answer to "which coding agent is best?"
Why "LLMs are nondeterministic" is, technically speaking, a lie
The primarily limitation on how LLMs can "think" that they will never overcome
How to manage the costs of using LLMs (and get your employer to pay for it instead)
The two broad types of statistical estimation... which one LLMs can easily do... and which one LLMs can NEVER do, at all
Intuition about how tokens work in LLM computation

Bonus Video #3:
Engineering Excellence: How To Become The Best Developer On Your Team With Engineering First Principles

The unusual Python class that changed the world, and its lessons for effective software development
An astonishing theory on the true sources of engineering innovation
How cognitive psychology applies to software development
Why 'spatial complexity' is critically important in modern software
One of highest-leverage things you can do when creating software
A technique available in Python and some other languages that lets you solve complex and difficult code problems, in a way that others can trivially reuse
How to ensure your team is producing software that gracefully handles larger data input sizes

What Engineers Say About The Boosted Code EBook

Daniel Cox, Senior Software Engineer, Georgia, USA

"I've never seen a book cover all of these topics, and it does so very well. I'm at heart a technical type, and never before thought to "market" myself, but these days, it takes that something extra. This book provides excellent insight. Thanks!"

Rich Goldstein MD, Production Engineer, Meta

"Most writing about AI coding is either hype or tool tips. Aaron does something more useful: he places agentic coding in a practical framework for working engineers, one built to hold up as our work keeps evolving."

Todd Feld, Embedded Software Engineer, Wisconsin, USA

"I found the book very informative. People networking and speaking are very important assets in having a long successful career. Being open in sharing/educating others and excepting critiques is very important for personal growth and allows other people to trust you. I found the section on AI interaction very informative."

Daniel Barnett, Supervisor, Infrastructure Security Services, Iowa, USA

"I highly recommend this book to anyone who wants to build a professional career, whether it involves coding, or some other field in information technology. The book also works for early-career engineers, experienced developers adapting to AI, or anyone who just wants to learn more these topics. It's my hope that all readers will enjoy the lessons given in this book as much as I have."

Courtenay Teska, Principal Engineer, Wisconsin, USA

"This is a great book for anyone in software development or related fields looking for a solid overview of key concepts and principles for the new AI era. Each of the sections are great for spurring meaningful discussions and important actions for individuals and teams using AI in their SDLC."

Praveen Venkatesh, Enterprise Applications Engineer, Portland, Oregon, USA

"Overall, Boosted Code demonstrates that agentic AI is most valuable when combined with sound software engineering fundamentals, scalable implementation patterns, effective verification, and continuous professional development. For data engineers, its central message is that AI can accelerate implementation, but the ability to design, understand, validate and communicate reliable systems remains essential."

Questions And Answers

How long is the EBook?: 35 pages, currently. You get all future updates, and it may grow over time as the author adds to it.
Who is this EBook for?: Broadly speaking, technology professionals - meaning engineers and others who write code as part of their work.
Can I get a refund if I am not satisfied?: Yes, however if everything listed above is not clearly worth far more than $5 to you, then I recommend you not buy it.
How long are the bonus videos?: Video #1 is 93 minutes long; Video #2 is 15 minutes; and Video #3 is 26 minutes.
I have another question.: Send it to service@boostedcode.com and we will reply by the next business day.

Buy For $5 USD