In the last two or three years, I read dozens of non-fiction books. The truth is I don’t remember reading some of them, even when I took notes. I don’t even remember their front cover or why I decided to read them.
I was reading to increase a book count. Pure FOMO. Without realizing it, I was trying to copy those YouTube videos: “I read <insert large number here> books, here’s what I learned.”
After that realization, I adapted the slip-box or Zettelkasten method, described in How to Take Smart Notes by Sönke Ahrens, and other reading techniques into my own reading system.
This is the six-step process I follow to read and retain more from non-fiction books:
Step 1: Intention
Start by asking why you want to read a book.
We don’t jump into a book with the same attitude if we’re just curious about a subject or want to answer a particular question.
That intention will set the tone for our reading. And based on that, we could decide if we want to read the book from cover to cover or jump into a particular section.
Step 2: Overview
Ask if the book you’re about to read can answer your questions or satisfy your curiosity.
For that, understand the purpose of the book and its content. Use reviews, summaries, or anything else to understand the overall book content.
Often book authors go on podcast tours to promote their books, and listening to those podcast episodes helps us understand what their books are about.
A good experiment to try is to use ChatGPT or Copilot for this step. We could use any of the two to generate an executive summary of a book, for example.
Step 3: Note
Create a new place for your notes, either a text file or a piece of paper.
For the new note, use the date and the book title as the note title. Then divide the note into two halves. The first half is for questions and connections, and the second half is for the actual notes.
Also, link to the new book note from a book index and a subject index. The book index is a note that links to all books you’ve read. And the subject index is a note that references all other notes related to a specific subject. These notes work like “index” notes.
My note structure and links between notes
Step 4: Question
Read the table of contents, introduction, and conclusion to look for the book’s structure and interesting topics.
Also, skim through the book to find anything that grabs your attention: boxes, graphs, and tables.
In the first half of your note, write questions you have about the subject and questions that arise after skimming the book.
If you decide not to read the book from cover to cover, in the first half of your note, create an index of the chapters and sections to read or the ones to skip. Keep this index for future reference.
I learned this idea of asking “pre-reading” questions from Jim Kwik’s Speed Reading program and the idea of a custom index from the post Surgical Reading: How to Read 12 Books at Once.
Step 5: Read
Then, read the book while taking note of interesting parts and quotes.
Use the second half of your notes to write down those interesting bits. Avoid copying and pasting passages from the book, except for quotes. Use your own words instead.
After every chapter, stop to recall the main ideas from that chapter.
If you find the answer to any of your questions from the “Question” step, go back to the first half of your note and write those answers there.
Step 6: Connections
While reading or after finishing a chapter, notice connections with other subjects. Ask yourself how that expands or contradicts anything else you’ve learned.
Use the first half of the note to write these connections.
If you’re familiar with the Zettelkasten method, to write your connections, we should use a separate set of notes: the permanent notes. For simplicity, I keep these connections in the same file but in the first half.
This way, the next time you open your note, you will find your connections and critique first.
Parting Thought
The key to retaining more is reading actively. Don’t just pass from page to page. Read with intention, not to grow a book count. Read for answers and connections.
The next time you’re about to jump into a new book, remember to set an intention and then capture and connect.
Reading more books isn’t the answer. Reading for retention and action is.
That announcement made the coding world run in circles, screaming in desperation. It also triggered an interesting conversation with a group of colleagues and ex-coworkers.
Here’s a summary of how a group of senior engineers viewed Devin and AI in general, and my own predictions for coding in the next 10 years.
If You Think You’re Out, You’re Out!
We all agreed that Devin and AI in general won’t take out jobs yet, but it will change the landscape for sure.
This is when the meme “AI needs well-written and unambiguous requirements, so we’re safe” is true.
One part of the group believed that software engineering, as we know it, would disappear in less than 10 years. They expected to see more layoffs and unemployment. They were also planning escape routes away from this industry.
If you’re reading this from the future, a bit of context about layoffs:
Around the 2020 pandemic, we enjoyed a boom in employment. We only needed “software engineer” as the title in our LinkedIn profiles to have dozens of recruiters offering “life-changing opportunities” every week.
But, in 2023 and 2024, we experienced massive layoffs. Either we were laid off or knew someone in our inner circle who was. It was a crazy time: one job listing, hundreds of applicants, and radio silence after sending a CV.
Most people claimed that AI took those jobs. Others claimed tech companies were so used to free money that went crazy hiring and then, when money wasn’t free anymore, they went crazy firing too. In any case, it was hard to get a new job in that season of layoffs.
Ok, end of that detour and back to the AI story.
While one part of the group was thinking of escaping routes, the other part believed the world would still need software engineers, at least, to oversee what AI does.
We wondered if AI needs human oversight, what about the working conditions for future software engineers? Maybe will they come from developing countries, with an extremely low wage and poor working conditions to fix the “oops” of AI software engineers? And if unfortunate software engineers were already under those conditions, wouldn’t all future software developers (at least the ones still standing) face the same fate?
Our conversation was divided into despair and change.
The World Will Need a Different Type of Coders
In 2034, knowing programming and coding by itself won’t be enough.
We will need to master a business domain or area of expertise and use programming in that context, mainly with AI as a tool.
Rather than being mundane code monkeys, our role will look like Product Managers. The coding part will be automated with AI. We will work more as requirement gatherers and writers and prompt engineers. Soft skills will be even more important than ever. Essentially, we all will be engineering managers overseeing a group of Devin’s.
We will see more Renaissance men and women, well-versed in different areas of knowledge, managing different AIs to achieve the goal of entire software teams.
In the meantime, if somebody else writes requirements and we, software engineers, merely translate those requirements into code, we’ll be out of business sooner rather than later.
Voilà! That’s how Software Engineering will look like in 2034: more human interaction and business understanding to identify requirements for AI software engineers. No more zero-value tasks like manual testing, code generation, and pointless meetings. Yeah, I’m looking at you, SCRUM daily meetings. AI will handle it all. Hopefully.
LINQ doesn’t get new features with each release of the .NET framework. It just simply works. This time, .NET 9 introduced two new LINQ methods: CountBy() and Index(). Let’s take a look at them.
1. CountBy
CountBy groups the elements of a collection by a key and counts the occurrences of each key. With CountBy, there’s no need to first group the elements of a collection to count its occurrences.
For example, let’s count all movies in our catalog by release year, of course, using CountBy(),
CountBy() returns a collection of KeyValuePair with the key in the first position and the count in the second one.
By the way, if that Console application doesn’t look like one, it’s because we’re using three recent C# features: the Top-level statements, records, and global using statements.
CountBy() has the same spirit of DistinctBy, MinBy, MaxBy, and other LINQ methods from .NET 6.0. With these methods, we apply an action direcly on a collection using a key selector. We don’t need to filter or group a collection first to apply that action.
If we take a look at the Index source code on GitHub, it’s a foreach loop with a counter in its body. Nothing fancy!
Voilà! Those are two new LINQ methods in .NET 9.0: CountBy() and Index(). It seems the .NET team is bringing to the standard library the methods we needed to roll ourselves before.
Want to write more expressive code for collections? Join my course, Getting Started with LINQ on Udemy and learn everything you need to know to start working productively with LINQ—in less than 2 hours.
Starting with .NET 8.0, we have a better alternative for testing logging and logging messages. We don’t need to roll our own mocks anymore. Let’s learn how to use the new FakeLogger<T> inside our unit tests.
.NET 8.0 introduces FakeLogger, an in-memory logging provider designed for unit testing. It provides methods and properties, such us LatestRecord, to inspect the log entries recorded inside unit tests.
Let’s revisit our post on unit testing logging messages. In that post, we used a Mock<ILogger<T>> to verify that we logged the exception message thrown inside a controller method. This was the controller we wanted to test,
usingMicrosoft.AspNetCore.Mvc;namespaceFakeLogger.Controllers;[ApiController][Route("[controller]")]publicclassSomethingController:ControllerBase{privatereadonlyIClientService_clientService;privatereadonlyILogger<SomethingController>_logger;publicSomethingController(IClientServiceclientService,ILogger<SomethingController>logger){_clientService=clientService;_logger=logger;}[HttpPost]publicasyncTask<IActionResult>PostAsync(AnyPostRequestrequest){try{// Imagine that this service does something interesting...await_clientService.DoSomethingAsync(request.ClientId);returnOk();}catch(Exceptionexception){_logger.LogError(exception,"Something horribly wrong happened. ClientId: [{clientId}]",request.ClientId);// ^^^^^^^^// Logging things like good citizens of the world...returnBadRequest();}}}// Just for reference...Nothing fancy herepublicinterfaceIClientService{TaskDoSomethingAsync(intclientId);}publicrecordAnyPostRequest(intClientId);
Let’s test the PostAsync() method, but this time let’s use the new FakeLogger<T> instead of a mock with Moq.
To use the new FakeLogger<T>, let’s install the NuGet package: Microsoft.Extensions.Diagnostics.Testing first.
Here’s the test,
usingFakeLogger.Controllers;usingMicrosoft.Extensions.Logging;usingMicrosoft.Extensions.Logging.Testing;// ^^^^^usingMoq;namespaceFakeLogger.Tests;[TestClass]publicclassSomethingControllerTests{[TestMethod]publicasyncTaskPostAsync_Exception_LogsException(){varclientId=123456;varfakeClientService=newMock<IClientService>();fakeClientService.Setup(t=>t.DoSomethingAsync(clientId)).ThrowsAsync(newException("Expected exception..."));// ^^^^^// 3...2...1...Boom...// Look, ma! No mocks here...varfakeLogger=newFakeLogger<SomethingController>();// ^^^^^varcontroller=newSomethingController(fakeClientService.Object,fakeLogger);// ^^^^^varrequest=newAnyPostRequest(clientId);awaitcontroller.PostAsync(request);// Warning!!!//var expected = $"Something horribly wrong happened. ClientId: [{clientId}]";//Assert.AreEqual(expected, fakeLogger.LatestRecord.Message);// ^^^^^^^^// Do not expect exactly the same log message thrown from PostAsync()// Even better:fakeLogger.VerifyWasCalled(LogLevel.Error,clientId.ToString());// ^^^^^}}
We needed a using for Microsoft.Extensions.Logging.Testing. Yes, that’s different from the NuGet package name.
We wrote new FakeLogger<SomethingController>() and passed it around. That’s it.
2. Asserting on FakeLogger
The FakeLogger<T> has a LatestRecord property that captures the last entry we logged. Its type is FakeLogRecord and contains a Level, Message, and Exception. And if no logs have been recorded, accessing LatestRecord will throw an InvalidOperationException with the message “No records logged.”
But, for the Assert part of our test, we followed the lesson from our previous post on testing logging messages: do not expect exact matches of logging messages in assertions. Otherwise, any change in the structure of our logging messages will make our test break, even if the underlying business logic remains unchanged.
Instead of expecting exact matches of the logging messages, we wrote an extension method VerifyWasCalled(). This method receives a log level and a substring as parameters. Here it is,
publicstaticvoidVerifyWasCalled<T>(thisFakeLogger<T>fakeLogger,LogLevellogLevel,stringmessage){varhasLogRecord=fakeLogger.Collector// ^^^^^.GetSnapshot()// ^^^^^.Any(log=>log.Level==logLevel&&log.Message.Contains(message,StringComparison.OrdinalIgnoreCase));// ^^^^^if(hasLogRecord){return;}// Output://// Expected log entry with level [Warning] and message containing 'Something else' not found.// Log entries found:// [15:49.229, error] Something horribly wrong happened. ClientId: [123456]varexceptionMessage=$"Expected log entry with level [{logLevel}] and message containing '{message}' not found."+Environment.NewLine+$"Log entries found:"+Environment.NewLine+string.Join(Environment.NewLine,fakeLogger.Collector.GetSnapshot().Select(l=>l));thrownewAssertFailedException(exceptionMessage);}
First, we used Collector and GetSnapshot() to grab a reference to the collection of log entries recorded. Then, we checked we had a log entry with the expected log level and message. Next, we wrote a handy exception message showing the log entries recorded.
Voilà! That’s how to write tests for logging messages using FakeLogger<T> instead of mocks.
If we only want to create a logger inside our tests without asserting anything on it, let’s use NullLogger<T>. But, if we want to check we’re logging exceptions, like good citizens of the world, let’s use the new FakeLogger<T> and avoid tying our tests to details like the log count and the exact log messages. That makes our tests harder to maintain. In any case, we can roll mocks to test logging.
I ran an experiment. Maybe it was fear of missing out. I decided to use AI to help me launch a new course. This is how I used Copilot and the prompts I used.
I got this idea after watching one of Brent Ozar’s Office Hours videos on YouTube where he shared he keeps ChatGPT opened all the time and uses it as a junior employee. I decided to run a similar experiment, but for launching a new course on unit testing, one of my favorite subjects.
1. Lesson content and materials
I planned the lesson content and recorded and edited all video lessons myself. #madebyahuman
For the editing part, I used Adobe Podcast to remove background noise. My neighbor’s dog started to bark every time I hit record. And the other day at home, somebody made a smoothie with a loud blender while I was recording. Arrrggg! The only downside is that my voice sounds auto-tuned, especially in word endings.
I used Copilot for its convenience. I don’t need to create an account. Even I made Microsoft Edge open Copilot as the default tab. I only need to press the Windows key, type “Edge,” and I’m right there.
These are the prompts I used.
Generate a list of title ideas for my course
You’re an expert on course creation, programming, and SEO, give me a list of titles for a course to teach insert subject here
Rewrite my draft for a landing page
Now you’re an expert on online writing, SEO, marketing, and copywriting, please help me improve this landing page for an online course to increase sales and conversions. Make sure to use a friendly and conversational tone.
This is my landing page:
insert landing page here
Turn a landing page into a script for an introductory video
Now turn that last version of the landing page into a list of paragraphs and sentences I can use to create a PowerPoint presentation. Keep it short and to the point. Use only 10 paragraphs. I will turn each paragraph into a slide
Once I got all the lesson content and a landing page ready, I moved to the promotion part.
These are the prompts I used.
Write an email inviting readers to buy this new course
You’re an expert on copywriting and email marketing, give me n ideas for a short email to invite a reader who already took some action to buy my new video course: insert course name here. In that course, I insert brief description here. Offer a promo code for a limited time. Use friendly and engaging language.
Write a call to action for my posts
You’re an expert copywriter, give me n ideas for a two-sentence paragraph to promote my new course insert course name here. I’d like to use that paragraph at the end of posts on my blog to invite my readers to join the course. Use a friendly and conversational tone.
Write a launching post on LinkedIn
You’re an expert on copywriting, LinkedIn, and personal branding. Give me n ideas for a LinkedIn post to promote my new course insert title here based on the landing page of the course. Use a friendly and conversational tone.
This is the course landing page of the course:
insert landing page here
Nothing fancy. I followed the pattern: “Act as X, do Y for me based on some input. This is the input.”
I don’t use the exact same words Copilot gives me. I change the words I don’t use to make it sound like me.
Voilà! That’s how I used AI, especially Copilot, to help me launch my new testing course. On a Saturday morning, I ended up with a landing page and the script for an intro video for the course. What a productive morning!
I use AI the same way Jim Kwik, the brain coach, recommends in one of his YouTube videos: “AI (artificial intelligence) to enhance HI (human intelligence), not to replace it.” I don’t want AI to take out the pleasure of doing what I like to do. It’s my assistant.