Software Development

760 Articles

AI Code Review The Right Way

August 1, 2025 by 3 Comments

Do you use a spell checker? We’ll guess you do. Would you use a button that just said “correct all spelling errors in document?” Hopefully not. Your word processor probably doesn’t even offer that as an option. Why? Because a spellchecker will reject things not in its dictionary (like Hackaday, maybe). It may guess the wrong word as the correct word. Of course, it also may miss things like “too” vs. “two.” So why would you just blindly accept AI code review? You wouldn’t, and that’s [Bill Mill’s] point with his recent tool made to help him do better code reviews.

He points out that he ignores most of the suggestions the tool outputs, but that it has saved him from some errors. Like a spellcheck, sometimes you just hit ignore. But at least you don’t have to check every single word.

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Testing Your Knowledge Of JavaScript’s Date Class

July 21, 2025 by 18 Comments

JavaScript is everywhere these days, even outside the browser. Everyone knows that this is because JavaScript is the best programming language, which was carefully assembled by computer experts and absolutely not monkeyed together in five days by some bloke at Netscape in the 90s. Nowhere becomes this more apparent than in aspects like JavaScript’s brilliantly designed Date class, which astounds people to this day with its elegant handling of JavaScript’s powerful type system. This is proudly demonstrated by the JS Date quiz by [Samwho].

Recently [Brodie Robertson] decided to bask in the absolute glory that is this aspect of JavaScript, working his way through the quiz’s 28 questions as his mind gradually began to crumble at the sheer majesty of this class’ elegance and subtle genius. Every answer made both logical and intuitive sense, and left [Brodie] gobsmacked at the sheer realization that such a language was designed by mere humans.

After such a humbling experience, it would only seem right to introduce the new JS convert to the book JavaScript: The Good Parts, to fully prepare them for their new career as a full-stack JS developer.

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Coroutines In C

July 14, 2025 by 20 Comments

It is virtually a rite of passage for C programmers to realize that they can write their own cooperative multitasking system. C is low-level enough, and there are several ways to approach the problem, so, like Jedi light sabers, each one is a little bit different. [Christoph Wolcher] took his turn, and not only is his system an elegant hack, if that’s not an oxymoron, it is also extremely well documented.

Before you dig in, be warned. [Christoph] fully admits that you should use an RTOS. Or Rust. Besides, after he finished, he discovered the protothreads library, which does a similar task in a different way that is both more cool and more terrible all at the same time.

Once you dig in, though, you’ll see the system relies on state machines. Just to prove the point, he writes a basic implementation, which is fine, but hard to parse and modify. Then he shows a simple implementation using FreeRTOS, which is fine except for, you know, needing FreeRTOS.

Using a simple set of macros, it is possible to get something very similar to the RTOS version that runs independently, like the original version. Most of the long code snippets show you what code the macros generate. The real code is short and to the point.

Multiprocessing is a big topic. You can have processes, threads, fibers, and coroutines. Each has its pros and cons, and each has its place in your toolbox.

Measuring The Impact Of LLMs On Experienced Developer Productivity

July 11, 2025 by 73 Comments

Recently AI risk and benefit evaluation company METR ran a randomized control test (RCT) on a gaggle of experienced open source developers to gain objective data on how the use of LLMs affects their productivity. Their findings were that using LLM-based tools like Cursor Pro with Claude 3.5/3.7 Sonnet reduced productivity by about 19%, with the full study by [Joel Becker] et al. available as PDF.

This study was also intended to establish a methodology to assess the impact from introducing LLM-based tools in software development. In the RCT, 16 experienced open source software developers were given 246 tasks, after which their effective performance was evaluated.

A large focus of the methodology was on creating realistic scenarios instead of using canned benchmarks. This included adding features to code, bug fixes and refactoring, much as they would do in the work on their respective open source projects. The observed increase in the time it took to complete tasks with the LLM’s assistance was found to be likely due to a range of factors, including over-optimism about the LLM tool capabilities, LLMs interfering with existing knowledge on the codebase, poor LLM performance on large codebases, low reliability of the generated code and the LLM doing very poorly on using tacit knowledge and context.

Although METR suggests that this poor showing may improve over time, it seems fair to argue whether LLM coding tools are at all a useful coding partner.

Dearest C++, Let Me Count The Ways I Love/Hate Thee

July 11, 2025 by 59 Comments

My first encounter with C++ was way back in the 1990s, when it was one of the Real Programming Languages™ that I sometimes heard about as I was still splashing about in the kiddie pool with Visual Basic, PHP and JavaScript. The first formally standardized version of C++ is the ISO 1998 standard, but it had been making headways as a ‘better C’ for decades at that point since Bjarne Stroustrup added that increment operator to C in 1979 and released C++ to the public in 1985.

Why did I pick C++ as my primary programming language? Mainly because it was well supported and with free tooling: a free Borland compiler or g++ on the GCC side. Alternatives like VB, Java, and D felt far too niche compared to established languages, while C++ gave you access to the lingua franca of C while adding many modern features like OOP and a more streamlined syntax in addition to the Standard Template Library (STL) with gobs of useful building blocks.

Years later, as a grizzled senior C++ developer, I have come to embrace the notion that being good at a programming language also means having strong opinions on all that is wrong with the language. True to form, while C++ has many good points, there are still major warts and many heavily neglected aspects that get me and other C++ developers riled up.

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Embedded USB Debug For Snapdragon

July 10, 2025 by 5 Comments

According to [Casey Connolly], Qualcomm’s release of how to interact with their embedded USB debugging (EUD) is a big deal. If you haven’t heard of it, nearly all Qualcomm SoCs made since 2018 have a built-in debugger that connects to the onboard USB port. The details vary by chip, but you write to some registers and start up the USB phy. This gives you an oddball USB interface that looks like a seven-port hub with a single device “EUD control interface.”

So what do you do with that? You send a few USB commands, and you’ll get a second device. This one connects to an SWD interface. Of course, we have plenty of tools to debug using SWD.

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Dithering With Quantization To Smooth Things Over

July 9, 2025 by 19 Comments

It should probably come as no surprise to anyone that the images which we look at every day – whether printed or on a display – are simply illusions. That cat picture isn’t actually a cat, but rather a collection of dots that when looked at from far enough away tricks our brain into thinking that we are indeed looking at a two-dimensional cat and happily fills in the blanks. These dots can use the full CMYK color model for prints, RGB(A) for digital images or a limited color space including greyscale.

Perhaps more interesting is the use of dithering to further trick the mind into seeing things that aren’t truly there by adding noise. Simply put, dithering is the process of adding noise to reduce quantization error, which in images shows up as artefacts like color banding. Within the field of digital audio dithering is also used, for similar reasons. Part of the process of going from an analog signal to a digital one involves throwing away data that falls outside the sampling rate and quantization depth.

By adding dithering noise these quantization errors are smoothed out, with the final effect depending on the dithering algorithm used.

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