Learn to solve any problem.

The best developers don't have all the answers.
They just know how to find them.

async function solveProblem(user, problem) {
  if (!user.hasProblem) return null;

  const skills = user.debuggingSkills;

  // hmm...
  if (skills.length = 0) {
    return null;
  }

  const answer = user.issueFound;
  return answer;
}

// hmmmmm...
const confidentCoding = (user, problem) => {
  return new Promise((resolve) => {
    const solution = solveProblem(user, problem);
    resolve(problem);
  });
};

look around

Learn the techniques and processes to build your confidence, reduce anxiety, and become a better problem solver.

Coming in Q2 2026.

async function solveProblem(user, problem) {
  if (!user.hasProblem) return null;

  const skills = user.debuggingSkills;

  // hmm...
  if (skills.length = 0) {
    return null;
  }

  const answer = user.issueFound;
  return answer;
}

// hmmmmm...
const confidentCoding = (user, problem) => {
  return new Promise((resolve) => {
    const solution = solveProblem(user, problem);
    resolve(problem);
  });
};

look around

Let's be honest, coding is often the easy part.

Getting working code in your browser has never been easier than it is today.

But, when things go sideways and don't work the way you expect or need them to and perhaps your AI tool is going in circles, then finding the culprit can feel like solving a mystery where you don't even know how to find the clues you're supposed to be looking for, let alone knowing how to fix the issue.

It's the debugging, and the problem solving, where the real work happens.

The modern web can feel overwhelming.

Files, variables, functions & classes, caching & servers, DNS, browsers, server-side code, client-side code, databases, APIs, authentication, permissions, environment variables, configuration files, build processes... and more.

Then add in the latest AI/LLM tools which can generate more code in seconds than you can review in a week...

It can feel instantly paralyzing.

Where do you begin in trying to chip away at the problem?

I'm Lars, and trust me, I've been there.

I've been working with technology coming up on three decades, and have experienced a lot of troublesome situations. With each experience came lessons and knowledge.

Troubleshooting is like any other skill that you can build.

Even though debugging is not the same as writing code, there is still a process that you can learn to prevent you from getting stuck for too long.

I want to help you learn how to work through issues methodically, and reduce your anxiety when things aren't working.

You can learn more about me and my experience:

My profile

My background

I started Confident Coding to help you debug better.

The software and development industry is going through it right now. 😅 Writing code has never been easier...but the importance of being able to parse, digest, troubleshoot and improve the solutions has never been higher.

In a world where code generation is trivial, problem solving is arguably the most important skill you can possess. And, your ability to do so makes you stand out from all the others who continue to rely on sources outside of their own critical thinking.

When you know how to troubleshoot, your confidence grows.

You now can reverse-engineer any problem.

You know you can find the answer.

Your imposter syndrome fades.

Before we go any further, let's address the elephant in the room...

"Isn't AI taking over all development?"

AI is making developers more valuable.

The short answer: No, it's not.

The longer answer: No, it's definitely not.

Here's the reality.

Two things have happened over the past 50+ years since coding became a skill and a discipline:

Coding becomes more accessible for more people.

Industry

Coding becomes more complex and more in demand.

Creating software, whether it's an application or web app, is very complicated. LLMs have only increased the complexity of what is being built these days. Even the simplest deployments have many layers, many integrations, and many variables. Which usually results in: many more things that can go wrong.

Troubleshooting issues on a day-to-day basis isn't just a process of looking up error codes and pasting them into an LLM.

Troubleshooting is similar to unraveling a mystery.

AI models can be your Watson, but they need context..

The only way to get this critical context, is to understand how to find it.

And that is a skill that only you, and yourcan do.

Even Anthropic (the creators of Claude Code) have highlighted debugging as an essential skill, with their latest 2026 study stating that: "This skill is crucial for detecting when AI-generated code is incorrect and understanding why it fails".

Here's how we'll hone your debugging skills:

ConfidentCoding

Overview

Module One: Mindset & Process

The biggest stumbling block that I've seen most people have when they are faced with an issue, is where to start the process. Too often I've seen people go on a wild goose chase, following a trail they think is right, only to hit a dead end after hours of troubleshooting, or feeling stuck before they even get started because there's too many directions to go.

We'll dive into the core concepts of Computational Thinking, how they apply to problem solving development issues, and provide you the mental model you need to break problems down into manageable tasks.

Module Two: Tools & Languages

I've watched developers spend hours searching for the needle in the haystack, never once opening a console.log or knowing how to place a debugger statement, or change arbitrary CSS values while the layout breaks further and further.

The difference between having the right tools, or not, could result in days of unnecessary work. We'll cover the main browsers, languages and platforms, and what are the best available tools for each.

Including, what to do when there are no error logs to look at in the first place. (looking at you, CSS)

Module Three: Research & Resources

It's 4:45pm and you get a report of a critical issue affecting all users. There's no error log, no previous instances to draw from, nobody to ask, and even your AI provides no worthwhile leads. What now?

We'll cover the last piece of the process: how to move the needle when there's no obvious place to turn.

Module Four: LLMs & AI Tools

This module is last for a reason! I've seen people waste as much time as they've saved because they were not applying the core principles and instead trusting whatever the LLM was guiding them towards. Using these tools in a way that is productive and actually helps you is a developing skill, and one that I will help you grow.

Much as you would graduate to the Power Saw once you knew how to measure and cut properly, there are core fundamentals that need to be integrated before reaching for the wide variety of AI tools available. We're going to cover all of the fundamentals, and this last module will show you how those core skills enhance the usage of these AI models.

Frequently Asked Questions

Pre-Enroll Now

Join Waitlist for Early Access & Discount

$199

$100

on release day

Early-Bird Access
All learning modules
Invitation to Discord Community
Weekly drop-in sessions for live debugging help
Lifetime access

Enrollment begins in Q2 2026.