Fil-C: A memory-safe C implementation
https://www.reddit.com/r/programming/comments/1ojwnec/filc_a_memorysafe_c_implementation/

<!-- SC_OFF -->A memory-safe implementation of C and C++ that aims to let C code run safely, unmodified. <!-- SC_ON --> submitted by /u/waozen (https://www.reddit.com/user/waozen)
[link] (https://lwn.net/SubscriberLink/1042938/38d8dde9db211cab/) [comments] (https://www.reddit.com/r/programming/comments/1ojwnec/filc_a_memorysafe_c_implementation/)

Java Generics and Collections • Maurice Naftalin & Stuart Marks
https://www.reddit.com/r/programming/comments/1ojzqgg/java_generics_and_collections_maurice_naftalin/

submitted by /u/goto-con (https://www.reddit.com/user/goto-con)
[link] (https://youtu.be/WpvmRaHEQzA?list=PLEx5khR4g7PJbSLmADahf0LOpTLifiCra) [comments] (https://www.reddit.com/r/programming/comments/1ojzqgg/java_generics_and_collections_maurice_naftalin/)

Zyn - An extensible pub/sub messaging protocol for real-time applications
https://www.reddit.com/r/programming/comments/1ok0myr/zyn_an_extensible_pubsub_messaging_protocol_for/

submitted by /u/ortuman84 (https://www.reddit.com/user/ortuman84)
[link] (https://github.com/zyn-org/zyn) [comments] (https://www.reddit.com/r/programming/comments/1ok0myr/zyn_an_extensible_pubsub_messaging_protocol_for/)

How I solved nutrition aligned to diet problem using vector database
https://www.reddit.com/r/programming/comments/1ok0pm7/how_i_solved_nutrition_aligned_to_diet_problem/

submitted by /u/vs-borodin (https://www.reddit.com/user/vs-borodin)
[link] (https://medium.com/coreteq/how-i-solved-nutrition-aligned-to-diet-problem-using-vector-database-d52812b8b71e) [comments] (https://www.reddit.com/r/programming/comments/1ok0pm7/how_i_solved_nutrition_aligned_to_diet_problem/)

How Google, Amazon, and CrowdStrike broke millions of systems
https://www.reddit.com/r/programming/comments/1ok3tt3/how_google_amazon_and_crowdstrike_broke_millions/

submitted by /u/milanm08 (https://www.reddit.com/user/milanm08)
[link] (https://newsletter.techworld-with-milan.com/p/how-google-amazon-and-crowdstrike) [comments] (https://www.reddit.com/r/programming/comments/1ok3tt3/how_google_amazon_and_crowdstrike_broke_millions/)

Qt Creator 18 released
https://www.reddit.com/r/programming/comments/1ok4935/qt_creator_18_released/

submitted by /u/jlpcsl (https://www.reddit.com/user/jlpcsl)
[link] (https://www.qt.io/blog/qt-creator-18-released) [comments] (https://www.reddit.com/r/programming/comments/1ok4935/qt_creator_18_released/)

How to Build a DenseNet201 Model for Sports Image Classification
https://www.reddit.com/r/programming/comments/1ok66er/how_to_build_a_densenet201_model_for_sports_image/

<!-- SC_OFF -->Hi, For anyone studying image classification with DenseNet201, this tutorial walks through preparing a sports dataset, standardizing images, and encoding labels. It explains why DenseNet201 is a strong transfer-learning backbone for limited data and demonstrates training, evaluation, and single-image prediction with clear preprocessing steps. Written explanation with code: https://eranfeit.net/how-to-build-a-densenet201-model-for-sports-image-classification/
Video explanation: https://youtu.be/TJ3i5r1pq98 This content is educational only, and I welcome constructive feedback or comparisons from your own experiments. Eran <!-- SC_ON --> submitted by /u/Feitgemel (https://www.reddit.com/user/Feitgemel)
[link] (https://eranfeit.net/how-to-build-a-densenet201-model-for-sports-image-classification/) [comments] (https://www.reddit.com/r/programming/comments/1ok66er/how_to_build_a_densenet201_model_for_sports_image/)

Zig's New Async I/O (Text Version)
https://www.reddit.com/r/programming/comments/1ok88li/zigs_new_async_io_text_version/

submitted by /u/BrewedDoritos (https://www.reddit.com/user/BrewedDoritos)
[link] (https://andrewkelley.me/post/zig-new-async-io-text-version.html) [comments] (https://www.reddit.com/r/programming/comments/1ok88li/zigs_new_async_io_text_version/)

Virtual List: Overcoming the 16,777,200px Limitation of Chrome
https://www.reddit.com/r/programming/comments/1okaygp/virtual_list_overcoming_the_16777200px_limitation/

submitted by /u/tanin47 (https://www.reddit.com/user/tanin47)
[link] (https://tanin.nanakorn.com/virtual-list-overcoming-the-16-777-200px-limitation-of-chrome/) [comments] (https://www.reddit.com/r/programming/comments/1okaygp/virtual_list_overcoming_the_16777200px_limitation/)

Jujutsu at Google
https://www.reddit.com/r/programming/comments/1okekv7/jujutsu_at_google/

submitted by /u/steveklabnik1 (https://www.reddit.com/user/steveklabnik1)
[link] (https://www.youtube.com/watch?v=v9Ob5yPpC0A) [comments] (https://www.reddit.com/r/programming/comments/1okekv7/jujutsu_at_google/)

Tik Tok saved $300000 per year in computing costs by having an intern partially rewrite a microservice in Rust.
https://www.reddit.com/r/programming/comments/1okf0md/tik_tok_saved_300000_per_year_in_computing_costs/

<!-- SC_OFF -->Nowadays, many developers claim that optimization is pointless because computers are fast, and developer time is expensive. While that may be true, optimization is not always pointless. Running server farms can be expensive, as well. Go is not a super slow language. However, after profiling, an intern at TikTok rewrote part of a single CPU-bound micro-service from Go into Rust, and it offered a drop from 78.3% CPU usage to 52% CPU usage. It dropped memory usage from 7.4% to 2.07%, and it dropped p99 latency from 19.87ms to 4.79ms. In addition, the rewrite enabled the micro-service to handle twice the traffic. The saved money comes from the reduced costs from needing fewer vCPU cores running. While this may seem like an insignificant savings for a company of TikTok's scale, it was only a partial rewrite of a single micro-service, and the work was done by an intern. <!-- SC_ON --> submitted by /u/InfinitesimaInfinity (https://www.reddit.com/user/InfinitesimaInfinity)
[link] (https://www.linkedin.com/posts/animesh-gaitonde_tech-systemdesign-rust-activity-7377602168482160640-z_gL) [comments] (https://www.reddit.com/r/programming/comments/1okf0md/tik_tok_saved_300000_per_year_in_computing_costs/)

An interview with Ken Silverman, creator of the Build Engine (Duke Nukem 3d, Shadow Warrior, Blood). Ken programmed the engine at the age of just 17.
https://www.reddit.com/r/programming/comments/1okfimd/an_interview_with_ken_silverman_creator_of_the/

submitted by /u/Tech-Jesse (https://www.reddit.com/user/Tech-Jesse)
[link] (https://youtu.be/WruzfQLxpQY) [comments] (https://www.reddit.com/r/programming/comments/1okfimd/an_interview_with_ken_silverman_creator_of_the/)

Mobile Home Screen with Live Preview and Source Code
https://www.reddit.com/r/programming/comments/1okges9/mobile_home_screen_with_live_preview_and_source/

<!-- SC_OFF -->Mobile Home Screen Tutorial - Live Preview With Source Code Learn how to create a stunning mobile interface with glassmorphism effects and animations <!-- SC_ON --> submitted by /u/justok25 (https://www.reddit.com/user/justok25)
[link] (https://colorbold.com/tutorial/mobile-home-screen) [comments] (https://www.reddit.com/r/programming/comments/1okges9/mobile_home_screen_with_live_preview_and_source/)

NeuroMark – AI-powered bookmark organizer for Firefox
https://www.reddit.com/r/programming/comments/1okojyn/neuromark_aipowered_bookmark_organizer_for_firefox/

submitted by /u/imizenoa (https://www.reddit.com/user/imizenoa)
[link] (https://addons.mozilla.org/en-GB/firefox/addon/neuromark/) [comments] (https://www.reddit.com/r/programming/comments/1okojyn/neuromark_aipowered_bookmark_organizer_for_firefox/)

Passwordless login via email OTP is that a good option?
https://www.reddit.com/r/programming/comments/1okph9u/passwordless_login_via_email_otp_is_that_a_good/

<!-- SC_OFF -->Hey everyone, we are planning to introduce Passwordless login via email OTP is that a good option over other traditional login methods like email-password login, login with other services like Google/Apple etc. Do you have any other option which is safe, secure and quick What are you thoughts? <!-- SC_ON --> submitted by /u/Agile_Guess_523 (https://www.reddit.com/user/Agile_Guess_523)
[link] (http://devloprr.com/) [comments] (https://www.reddit.com/r/programming/comments/1okph9u/passwordless_login_via_email_otp_is_that_a_good/)

We’re trying to make code reuse actually work
https://www.reddit.com/r/programming/comments/1okpwn8/were_trying_to_make_code_reuse_actually_work/

<!-- SC_OFF -->We’ve all said “I’ll turn this into a reusable package later” - and almost never do. We built Boilerplate.com because we wanted to actually make that easy. On Boilerplate you can: Package your code once and publish it (npm/Maven integrated).
Share it publicly or privately within your team.
Even earn from it if others start using your component.
There’s also a community blog built in - so devs can share how and why they built things, not just the code.
And everything’s security-scanned before it’s published. We’re a small startup trying to fix one of the oldest dev problems - how to stop rewriting the same stuff.
Would love your feedback on whether we’re solving something you’d actually use. 👉 boilerplate.com (https://boilerplate.com/) <!-- SC_ON --> submitted by /u/Boilerplatecom (https://www.reddit.com/user/Boilerplatecom)
[link] (http://boilerplate.com/) [comments] (https://www.reddit.com/r/programming/comments/1okpwn8/were_trying_to_make_code_reuse_actually_work/)

How my Node.js code was causing a massive memory leak and how I solved it
https://www.reddit.com/r/programming/comments/1okqswx/how_my_nodejs_code_was_causing_a_massive_memory/

<!-- SC_OFF -->For the longest time, I had a Node.js server with a slow memory leak. It would creep up for days and then crash. I'd internally blame V8, thinking the garbage collector was just "being slow" or "missing things." I was completely wrong. The GC wasn't the problem; my code was. The V8 garbage collector is an incredibly optimized piece of engineering. It's just a system with a clear set of rules. The problem was my code was breaking those rules. I realized that the GC is designed for two different scenarios: New Space (Scavenger): A high-speed cleanup crew for short-lived objects (like variables in a function). It's fast and efficient. Old Space (Mark-Sweep): A slower, more methodical crew for long-lived objects (like global singletons, caches). My code was causing leaks by actively sabotaging this system: Problem 1: GC Thrashing. I had a data.map() in a hot path that created thousands of new objects per request. My code was flooding the New Space, forcing the high-speed "Scavenger" to run constantly, burning CPU. Problem 2: Accidental Promotions. I had a simple per-request cache that I forgot to clear. V8 saw these temporary objects being held onto, so it assumed they were "long-lived" and promoted them to the Old Space. My temporary garbage was now in the permanent file cabinet, leading to the slow memory creep. Problem 3: The Closure Trap. I had an event listener whose callback only needed a userId but was accidentally holding a reference to the entire 10MB user object. The GC did its job and kept the object alive (because my code told it to). Once I learned these rules, I was able to solve the problem of regular crashing for that server. I wrote a full deep-dive on this. It covers how the GC actually works, how to spot these code anti-patterns, and the practical "3-snapshot technique" for finding the exact line of code that's causing your leak. You can read the full guide here: article (https://medium.com/codetodeploy/de-mystifying-the-v8-garbage-collector-how-your-code-is-sabotaging-your-apps-memory-c290f80eb1d0?source=friends_link&sk=fc1c16b78a846500f40de8539dba7332) <!-- SC_ON --> submitted by /u/Paper-Superb (https://www.reddit.com/user/Paper-Superb)
[link] (https://medium.com/codetodeploy/de-mystifying-the-v8-garbage-collector-how-your-code-is-sabotaging-your-apps-memory-c290f80eb1d0?source=friends_link&sk=fc1c16b78a846500f40de8539dba7332) [comments] (https://www.reddit.com/r/programming/comments/1okqswx/how_my_nodejs_code_was_causing_a_massive_memory/)

Are you drowning in AI code review noise? 70% of AI PR comments are useless
https://www.reddit.com/r/programming/comments/1okvtqp/are_you_drowning_in_ai_code_review_noise_70_of_ai/

<!-- SC_OFF -->Most AI code review tools generate 10-20 comments per PR. The problem? 80% are noise. Here's a framework for measuring signal-to-noise ratio in code reviews - and why it matters more than you think. <!-- SC_ON --> submitted by /u/Jet_Xu (https://www.reddit.com/user/Jet_Xu)
[link] (https://jetxu-llm.github.io/posts/low-noise-code-review/) [comments] (https://www.reddit.com/r/programming/comments/1okvtqp/are_you_drowning_in_ai_code_review_noise_70_of_ai/)

Friendly Attributes Pattern in Ruby
https://www.reddit.com/r/programming/comments/1okwrhe/friendly_attributes_pattern_in_ruby/

submitted by /u/brunobilling (https://www.reddit.com/user/brunobilling)
[link] (https://brunosutic.com/blog/ruby-friendly-attributes-pattern) [comments] (https://www.reddit.com/r/programming/comments/1okwrhe/friendly_attributes_pattern_in_ruby/)

Horror Coding Stories: Therac-25 — A deadly race condition and overflow
https://www.reddit.com/r/programming/comments/1okxks7/horror_coding_stories_therac25_a_deadly_race/

submitted by /u/teivah (https://www.reddit.com/user/teivah)
[link] (https://read.thecoder.cafe/p/therac-25) [comments] (https://www.reddit.com/r/programming/comments/1okxks7/horror_coding_stories_therac25_a_deadly_race/)

I compiled my research on modern bot detection into a deep-dive on multi-layer fingerprinting (TLS/JA3, Canvas, Biometrics)
https://www.reddit.com/r/programming/comments/1okyk2z/i_compiled_my_research_on_modern_bot_detection/

<!-- SC_OFF -->As part of the research for my asyncio Python automation library (pydoll), I fell down the rabbit hole of modern bot detection and ended up writing what is essentially a technical manual on the subject. I wanted to share the findings with the community. I found that User-Agent spoofing is almost entirely irrelevant now. The real detection happens by correlating data across a "stack" of fingerprints to check for consistency. The full guide is here: https://pydoll.tech/docs/deep-dive/fingerprinting/ The research covers the full detection architecture. It starts at the network layer, analyzing how your client's TLS "Client Hello" packet creates a unique signature (JA3) that can identify Python's requests library before a single HTTP request is even sent.Then, it moves to the hardware layer, detailing how browsers are fingerprinted based on the unique way your specific GPU/driver combination renders an image (Canvas/WebGL). Finally, it covers the biometric layer, explaining how systems analyze the physics of your mouse movements (based on Fitts's Law) and the cadence of your typing (digraph analysis) to distinguish you from a machine. <!-- SC_ON --> submitted by /u/thalissonvs (https://www.reddit.com/user/thalissonvs)
[link] (https://pydoll.tech/docs/deep-dive/fingerprinting/) [comments] (https://www.reddit.com/r/programming/comments/1okyk2z/i_compiled_my_research_on_modern_bot_detection/)