#programming-practices
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cybergame.bsky.social
The NIST Cybersecurity Framework (CSF) is a globally recognized, voluntary set of guidelines and best practices developed by the U.S. National Institute of Standards and Technology.

View More: blackcatwhitehatsecurity.com

#technology #business #programming
November 9, 2026 at 8:33 PM
javapedianet.bsky.social
What are some best practices for evolving gRPC service contracts in a Spring microservices system over time?

https://www.javapedia.net/spring-grpc-interview-questions/11747/what-are-some-best-practices-for-evolving-grpc-service-contracts-in-a-spring-mic

#javapedia #interviewquestions #programming
November 8, 2026 at 11:50 PM
cybergame.bsky.social
Microsoft Secure Score is a built-in measurement and analytics tool in the Microsoft Defender Portal. It provides a numerical rating indicating your organization's security posture based on recommended best practices.

View More: blackcatwhitehatsecurity.com

#technology #business #programming
November 6, 2026 at 5:07 PM
wyvernamerica.bsky.social
Is your CMM inspection workflow spending too much time on part setup and repositioning?

For manufacturers inspecting complex components, the measurement setup can be just as important as the CMM itself. Read our guide on optimizing rotary measurement inspection.

wyvernamerica.com/best-practic...
CMM Inspection Best Practices with Rotary Measurement Optimization
Learn how to apply CMM inspection best practices to increase repeatability, simplify programming, and enhance measurement performance.
wyvernamerica.com
November 6, 2026 at 3:19 PM
codedive.bsky.social
What if memory safety isn’t a programming language problem, but an engineering process? 🔐

Alexandre Langenieux looks beyond language choice to how architecture, coding practices and continuous verification can make memory safety an ongoing practice.

👉 Registration is open tiny.pl/xgxvcrgzq
November 5, 2026 at 11:22 AM
suporma3354.bsky.social
Not linking the original (it was on what was Twitter 11 years ago), but this image is *mostly* right except for one thing. It's not just mathematics, computer science is also just like this. Most academic fields are, but math and comp sci are extraspecially guilty of this.
An image stating: "Imagine if I asked you to learn a programming language and culture of practices where: - All the variables were a single letter, pathologically so, and that programmers enjoyed using foreign alphabets, glyph variation and fonts to disambiguate their code from meaningless gibberish.. - None of the functions were documented independently, and instead the API documentation consisted of circular references to other pieces of similar code, often with the same names overloaded into multiple meanings, often impossible to Google. - None of the sample code could be run on a typical computer, in fact most of it was pseudo-code lacking a clear definition of input and output, or even the environment and domain in which it is typically expected to be run. - Expressive code in this language was impossible to write in a typical text editor or word processor, and transcribing code from paper back into something useful was an error-prone process. - Papers describing novel ideas in the field were incomprehensible by default, so that the world's most established experts on the subject would need years to decide whether a particularly cutting-edge program is meaningful or in fact insane gibberish. - These experts not only see nothing wrong with this picture, but in fact, revel in symbolic obscurity and ego-driven naming, dismissing sincere attempts at fixing these deep seated problems as meaningless taste arguments or pointless pop culture entertainment. If you were an experienced programmer, you would rightly call me insane. If you were a mathematician, it would be a day ending in y."
November 5, 2026 at 11:21 AM
sexabolition.blog
Not really the same sort of issue, but one of the broad successes of things like Rust programming language has been not just caring about making the language secure, but fostering a community and ecosystem that supports secure practices in a more general sense.

This takes active work to cultivate.
November 4, 2026 at 11:26 AM
olj1.bsky.social
🔮 I've noticed a shift in programming approaches lately. Embracing agile methodologies has made my team more adaptive and collaborative. It's fascinating how tools like Jira streamline our workflow! How are you adapting your coding practices? 🤔 #agile #programming #collaboration #innovation
Illustration for post: I've noticed a shift in programming approaches lately. Embracing agile methodolo...
November 2, 2026 at 11:36 PM
summonthejson.bsky.social
The best Christmas gift for a programmer may be a Summon The JSON fantasy card deck. Choose one at summonthejson.com/collections/...
Coding Flashcards
Master programming with coding flashcards designed for beginners and pros alike! Perfect for learning Python, JavaScript, Git, and other essential skills, these flashcards help you grasp key concepts, functions, and best practices faster. Whether you're preparing for coding interviews, building your first project, or e
summonthejson.com
November 1, 2026 at 9:44 PM
pighway.bsky.social
Sorry to doomer but I’ve gained the validation that the chip supply chain from AI is compromising and threatening the production of human pacemakers so add that to the list/radar, this is also deathspiraling with industry brain bleed: www.mgbu.edu/news-and-mor...
Why Cardiac Device Technicians Are in High Demand Nationwide
If you’ve never heard of a cardiac device technician, you’re not alone. But in hospitals and cardiology practices across the U.S., these professionals perform essential work—monitoring, programming, a...
www.mgbu.edu
November 1, 2026 at 6:12 PM
cybergame.bsky.social
COBIT is a globally recognized IT governance and management framework. It helps organizations bridge the gap between business goals and IT objectives by providing structured best practices.

View More: blackcatwhitehatsecurity.com

#technology #business #programming
November 1, 2026 at 5:14 PM
sephdebusser.bsky.social
Oh, it's the old adage of "software engineering is the art of programming under constantly changing requirements"(paraphrased). All our best practices are based on "how easy is it to keep adding stuff as new requirements come in". Seeing this formalized into "coherence" is really nice.
November 1, 2026 at 3:30 PM
inanna-nalytica.bsky.social
I.e. with coding prompts, I rely on my memory of frustrations and mistakes and foundations from three decades of programming, plus some late-absorbed "good practices". And I fear that we yet haven't found good frameworks for teaching new generations these then at once useless and essential skills.
October 31, 2026 at 10:13 AM
jacobo.tarrio.org
So programming languages, operating systems, security awareness, best practices, etc. keep churning and churning and churning but never improve because every new generation keeps reinventing them from scratch instead of building on what came before.
October 31, 2026 at 4:26 AM
cybergame.bsky.social
CMMC is a framework designed to protect sensitive unclassified defense information from cyberattacks. It requires all defense contractors to implement strict, verifiable cybersecurity practices before winning or maintaining DoD contracts.

View: blackcatwhitehatsecurity.com

#technology #programming
October 30, 2026 at 3:22 PM
wearealsc.bsky.social
Planning, balance, and communication can be key in creating healthier, sustainable staff and programs. Learn more...
https://www.alsc.ala.org/blog/2026/10/reduce-stress-building-sustainable-library-workloads/
Reduce Stress: Building Sustainable Library Workloads
Reduce stress in your library through better planning, balanced programming, clear communication, and sustainable practices.
www.alsc.ala.org
October 30, 2026 at 1:37 PM
thumbv.bsky.social
Education, list, set, tuple, python list, python set, python tuple, python data structures, python data types, python collections, collections in python, store data in python, python lists vs tuples, python sets vs tuples, python lists vs sets, python lists vs sets vs tuples, python sets tutorial, when to use tuples, when to use sets, python coding, python programming, python explained, python tutorial beginner, python tips, python best practices, python for beginners
October 30, 2026 at 6:00 AM
stepheneb.ruby.social.ap.brid.gy
Quoting and also reposting the original screenshots with alttext of Proton’s internal memo describing a complete pivot to AI.
Al @ Proton, Engineering Manifesto It should come as a surprise to no one at Proton, least of all in engineering, that software engineering has irrevocably changed this year if not before. LLMs and their associated tooling have gained the ability to write code to the point where a senior Proton engineer told me a few days ago, and I quote, "No one writes code in {business unit name} anymore." Like memorizing phone numbers in the 20th century or riding horses in the 19th, writing great code manually is a core skill whose time has passed. That is in general a fantastic thing. Much of code writing was and is time-consuming drudgery, at least in production and at scale. Documentation and testing are both necessary things that few like doing and historically have often been neglected at the cost of poor communication, inefficiencies and reliability. Boilerplate is the epitome of software engineering grind, and it may never be something a human being has to worry about again. Models can now advise and propose architectures and system designs that, while often imperfect, contribute meaningfully to discussion, decision-making, and education. Outside Proton, the Al revolution is taking the world by storm. A lot of that is fluff and superficial, cosmetic campaigns more to be seen as innovative rather than truly be innovative. But much of it is very real, and the investments those companies (including our competitors) are making now are going to determine the business environment we operate in the future. This is not about chasing trends—we are being left behind here, and it is an existential threat to the success of the mission itself. So why, at Proton, does it not feel like the revolution has come? Why has productivity not increased dramatically if everyone is using LLMs all the time already? I believe it comes down to three things, all of which we will need to correct if we are to be successful in the new era that is already here today, not on its way. The first is a change in engineering culture and engineer mentality. Your job has fundamentally changed. It is no longer to write code, and LLMs are not here to help you write better code faster. Your job is to help the LLM write better code faster. Every engineer is now a team leader, a manager, and your direct reports are the models and agents you use. Guiding them directly and correcting them when they are wrong are part of it, for sure. But a team of two people who always pair-programmed together would not be much of a team, nor would a team where no one worked when the team leader was in a meeting. Al needs to be able to work autonomously and continuously with less and less human babysitting. Your job is to identify problems that the LLM cannot solve on its own and help them not only solve them this time but be able to better solve them next time, not just for you but for everyone: repository-level context files, shared skills and prompts, and habit of ensuring that repeated failures trigger an investigation and a fix. Your job is to push the limits of what the LLM can do autonomously, step in for the things that it cannot, and always think of how you can improve the status quo. This is not the death of expertise. The LLM is fast. You are slow, but you carry with you a lifetime of experience, judgment calls, and understanding. You are also (hopefully) much less prone to hallucination and being mislead by bad or malicious inputs, and are accountable to yourself, your teammates, and to Proton in a way a model can never be. Together you can do far more, far faster than either can do alone. It is also not the death of good engineering practices. Maintainability and velocity is better on well-architected codebases. Documentation and tests remain crucial. That said, we need to be open to best practices changing as costs and capabilities change. Testing is a good example of this. Old best practice says that too many tests (particularly end-to-end tests) are a bad tradeoff in a world where writing and maintaining tests are expensive. If writing and maintaining tests become cheap, the place where we draw that line will likely change as well. The second reason we have not been able to take full advantage of the Al revolution is that we have been almost completely stuck at phase 1- using LLMs to speed up tasks as part of existing workflows. But writing code is not the only part of the software development lifecycle, and what happens when you eliminate a bottleneck? Another takes it is place. Maybe it is the speed and capacity of the Cl. Maybe it is design, approvals, specifications, and code reviews (yes, we need to and will get to a point where most human code review will end). Maybe the workflow does not change much but LLMs allow us to finally invest in automation which was cost-prohibitive before. If we do not look at all of our processes holistically and ruthlessly eliminate bottlenecks, we will not achieve our full potential. Often eliminating these bottlenecks will not only involve optimization of parts of our existing workflows but reworking and rethinking them altogether. This is phase 2, and we need to get there now. The third reason is a collective action problem. Using LLMs effectively to write code is something an individual engineer can do for themselves. Rebuilding or optimizing the CI process for a whole team, business unit, or company is a much heavier lift, and it comes with opportunity costs and tradeoffs. Not impossible, and many people at Proton have done amazing things on their own, some of which have spread far and wide. But to retool the company at large requires amounts of both organization and resourcing that we simply have not invested in yet. Regarding the software development lifecycle discussion in the previous paragraph, in many cases we do not even know where the bottlenecks are because we have not invested in the tools necessary to find out. Some caution may have been warranted in the past -- it took some time to figure out how to best use these new tools and we will continue to encourage experimentation. But it is past time to commit, as an organization, to the transformation that the moment requires. So what does this mean for you, the engineer? Well, your agency and responsibilities have both expanded. Not only are you responsible for the work getting done, you also now own how it gets done, and therefore are responsible for continual optimization and maximal automation (and sharing those enhancements with your colleagues — success at Proton is a team sport). It is also your responsibility to flag and escalate needed improvements that you cannot execute on your own. Proton, for its part, will organize and resource the critical investments that are required to get through phase 2 and fully achieve the potential of the Al revolution. The bottom line is that we are in a new world. "Programming" is dead. Engineering is not, nor is expertise. Your old job is gone. Your new job as a builder will let you do more and have more impact than you ever have, if you seize the opportunity. And Proton will set you up to do that, efforts you will hear more about in the coming days and weeks. The era of experimentation continues, but the time to act is now. The future is here — let's make it ours. -Bart
October 29, 2026 at 7:49 PM
discuss.privacyguides.net.web.brid.gy
Manifestos, Fear, and ‘Loser Thinking’: Inside Proton’s AI Reckoning
I interpret this as a company pushing the boundaries, just like we did in Software Programming when RAD (rapid application development) and Agile were the push - to name a few (versus the slow structured development practices of the past) Yes, the fear of crap code, privacy and security risks are always present but I think this is just pushing the boundaries vs any type of overt corruption. (please do correct me where I am wrong) Currently, proton’s AI Lumo, appears to allow us to use it in “Ghost mode” and not keep track of a persons searches. (is this just privacy by policy again?)
discuss.privacyguides.net
October 29, 2026 at 5:36 PM
thomastgnome.bsky.social
Ugh... @pbs.org is using Generative AI in some of it's programming.

At least they're honest about it:
www.pbs.org/standards/bl...
Show Your Work: How Five PBS Programs Use Generative AI Transparently
Transparency is a core principle of the PBS Editorial Standards & Practices.  This is “the principle that content should be produced in a way tha…
www.pbs.org
October 29, 2026 at 4:10 PM
solo.ist
Bonus: #promptstacks are readable.

Anyone can audit them for dark patterns and extractive practices.

In a way it finally delivers on COBOL's original promise: a #programming language non-programmers can read and audit, i.e. natural language.
October 29, 2026 at 3:11 PM
lobsters-feed.bsky.social
"You Already Don't Understand Your Code": What "ten sorts in ten languages" and various JS engines say about the abstraction we're living through now https://lobste.rs/s/w2tk85 ##practices ##programming
You Already Don't Understand Your Code
Ten sorts in ten languages, one JavaScript sort across twenty years of engines, and what both say about the abstraction we're living through now.
george.mand.is
October 29, 2026 at 12:45 PM
njschooljobs.com
FULL TIME SPECIAL EDUCATION TEACHER/ORTON-GILLINGHAM READING INTERVENTIONIST at Oakland Public Schools in Oakland, NJ
Requirements:? Valid New Jersey Teacher of Students with Disabilities (TOSD) certification.? Formal training in the Orton-Gillingham approach to structured literacy instruction.? Experience providing individualized and small-group reading interventions.? Knowledge of evidence-based literacy practices, differentiated instruction, and special education programming.? Ability to assess student progress, analyze instructional data, and collaborate effectively with teachers, families, and Child Stu...
dlvr.it
October 28, 2026 at 4:18 PM
velstrak.bsky.social
part of the subterfuge is how proper programming practices is entirely about not reinventing the wheel.

modern programming languages have so many well established libraries that the need for extensive coding is quite minimal already.

generating code that poorly reinvents said libraries is a waste
October 26, 2026 at 2:52 AM