All the time. Causes include:

• Test depends on an external system (database, package manager)
• Race conditions
• Failing the test cleared bad state (test expects test data not to be in the system and clears it when it exits)
• Failing test set up unknown prerequisite (Build 2 tests depends on changes in Build 1 but build system built them out of order)
• External forces messing with the test runner (test machine going to sleep or running out of resources)

We call those "flaky tests" and only fail a build if a given test cannot pass after 2 retries. (We also flag the test runs for manual review)

Kotlin jvm is extremely stable

I don't want to use Kotlin on (just) JVM. The reason I am working with Kotlin is Kotlin Multiplatform (so JVM and JavaScript). The JavaScript side is where all of my frustrations have come from.

The point of using a cache is to have data in memory and not on disk. From what I can tell, Postge Unlogged tables are still written to (and read from) disk. It is just that the write is done in an unsafe way.

The article explains how one would go about benchmarking performance but forgets to actually include performance metrics. Luckily they link to another write up that does. Using an Unlogged table vs. a regular table reduces write times about 45% and gives you about 3 times as many transactions per second. It is not nothing but it is probably not worth the code complexity vs. writing directly to a persistent table.

Even the "no persistence" behavior of a cache is not strictly true: an unlogged table is only truncated if Postgre is shut down unexpectedly (by kill -9 the process or by killing the VM). If you restart if you shut down the process in a controlled manner, the unlogged table is properly persisted and still has data when it starts.

I have used Kotlin a bit for a hobby project and it felt like they were 95% done with a 1.0 version. I love the promise of a single code base that can run on the JVM and browser, but it is not all there. Until recently, the API was not guaranteed to be stable. Every one in a while, I hit a feature that is JVM only or does work right in JavaScript. The JS compiler will "helpfully" remove uncalled public functions unless you explicitly mark them with JsExport.

Also, from what I can tell, only InteliJ is the only supported IDE (which makes sense, since they are the language developers). There is an official Eclipse Plugin, but the last time I tried it, it did not work and tried to take the entire IDE down with it.

Having said that, it was very close to complete and I have not worked on that project for a few months, so it could all be perfect now.

They forgot the Erlang approach: throw exceptions but never catch them. If you are throwing an exception either your code is wrong or your system is bad. In either case, you should crash violently and let another instance handle the retry.

As someone who was a web developer since the mid-2000's (and not more recently), an HTML first approach speaks to me. I am still of the belief that your contents should be in HTML and not pulled in via JavaScript.

The article is a bit self contradictory. It encourages specifying style and behavior inline and not using external styles and scripts but also discourages using a website build pipeline or dynamically generated HTML. So how can you maintain a consistent look and feel between pages? Copy and paste?

If anyone is like me and wondering what the heck Litestar is, I clicked through enough to find the GitHub repo: https://github.com/litestar-org/litestar/

Litestar is a powerful, flexible yet opinionated ASGI framework, focused on building APIs, and offers high-performance data validation and parsing, dependency injection, first-class ORM integration, authorization primitives, and much more that's needed to get applications up and running.

How is this group feature different from the existing group feature (https://github.blog/changelog/2023-06-30-grouped-version-updates-for-dependabot-public-beta/)? Just that it is no longer a beta feature (i.e. they have settled on the configuration syntax and are re-announcing it)?

That is a bit dismissive of Java developers around the world. There are several of us still left and we are in key positions of power.

In my opinion, Python is still missing one key feature: the removal of the Global Interpreter Lock, which is finally starting in Python 3.13.

I have not done much GoLang development, but I am working on automating some dependency updates for our kubernetes operator. The language may be good, but the ecosystem still feels immature.

Too many key libraries are on version 0.X with an unstable API. Yes, semantic versioning does say that you can have breaking changes in minor (and patch) releases as long as the major version is still 0, but that should be for pre-release libraries, not libraries ment for production use.

The immediate use for this that jumps out at me is batch processing: you take n inputs and return n outputs, where output[i] is the result of processing input[i]. You cannot throw since you still have to process all of the valid input.

This style also works for an actor model: loosely coupled operations which take an input message and emit an output message for the next actor in the chain. If you want to be able to throw an exception or terminate prematurely, you would have to configure an error sink shared by all of the actors and to get the result of an operation, you so have to watch for messages on both the final actor and the error sink.

I knew basic CLI commands (such as cd and ls) for a while, but did not do learn much more. Some things have helped me grow my skills:

• Necessity: Some times I need to do something on a VM or container that does not have a graphical interface installed. Some utilities only have a command line interface and not a graphical client. My only option is to Google how to do it. The more I do it, the less I have to Google and the more focused my searches become (instead of searching for "How to do x", I search for "How to do x in utility").
• Learning from others: For many tasks, I follow internal or external guides, which typically use CLI commands. Often I look at how my coworkers accomplish tasks and pay attention to what commands they use. Then, when I have time, I look up any new commands I saw and decide if they will be useful for me too. Lately, I have been doing code reviews that involve shell scripts. Those are especially nice, because I can take my time, going line by line, and understand what each command does.
• Keep notes: Every time I find a command that I think I will need again, I copy it into a text file (and I have many such text files). It also makes it easier when I need to run the command with slightly different arguments (a different commit id or something), I can just edit the command in my editor (with searching and undo) and paste it in to my terminal with all the flags and arguments correct.

I also exclusively use the git CLI. I have tried to use a graphical client and could never figure out what it was doing and what was going on. I probably picked it up so easily because when I learned git, I was already used to using a CLI version control client. At the time, I was working at a company that heavily used Perforce and had a custom wrapper around the p4 cli that injected a bunch of custom configuration.

My favorite YOLO-Driven Development practice (from a former employer) was Customers as QA. We would write code, build the code, and ship it to the customer, then the customer would run the code, file bugs for what broke, and we would have a new build ready next week.

It provides many benefits:

• No need to hire QA engineers.
• Focuses developer debugging time on features actually used by customers instead of corner cases that no customer is hitting.
• Developers deliver features faster instead of wasting time writing automated tests.
• Builds are faster because "test" stages are no-op.

One time a developer was caught writing automated tests (was not sure in the correctness of his code, a sign of a poor developer). Our manager took 15 minutes out of his busy day to yell at him about wasting company resources and putting release timelines in jeopardy.

I have not read the PEP itself or the PEPs that they claim to simplify, but this feel like a very bad idea that only really benefits Meta and a few other mega servers. It is enabling a micro-optimization that is only usable in a niche use case (forking long running processes with shared memory). Unfortunately, it is making all other python applications, on average, 2% slower. This is a minor regression but it hurts everyone and benefits almost no one.

That should be a disciplinary issue. The engineers in question should be brought forth in front of management to explain why they thought that this particular change should be exempt from testing and why this was not explained, in detail, in the code review.

Yes, you should use third party tools (just don't take credit for them, maybe even credit the tools used in the footer). In a real job, you would leverage third party libraries to work more efficiently, so you should do the same when showing off your skills.

As a student (and even as an alumnus), you should have access to university career counseling. They can edit your resume for you. They may also have job listings from companies looking to hire students.

Also, you mentioned in a reply that your LinkedIn profile is not up to date. Fix that. Make sure you have all of your skills listed and experience described (then update it once your university career counselor rewrites your resume). The last two jobs I got via LinkedIn. I have had the best results from recruiters looking to fill a specific role as opposed to ones who wanted my resume to spam out.

P.S. Assuming you are talking about lambdas as a language feature and not AWS Lambda, they are the same thing as anonymous functions. lambda is just a keyword to declare anonymous functions in many languages.