Cloud Code Feels Magical Until You Realize What It’s Actually Abstracting Away
https://www.reddit.com/r/programming/comments/1pscjp2/cloud_code_feels_magical_until_you_realize_what/

<!-- SC_OFF -->Cloud Code looks like a productivity win on day one; deploy from your IDE, preview resources instantly, fewer YAML headaches. But the real value (and risk) is what it abstracts: IAM wiring, deployment context, environment drift, and the false sense that “local == prod.” Teams move faster, but without understanding what Cloud Code is generating and managing under the hood, debugging and scaling can get messy fast. This write-up breaks down where Cloud Code genuinely helps, where it can hide complexity, and how to use it without turning your IDE into a black box: Cloud Code (https://www.netcomlearning.com/blog/cloud-code) <!-- SC_ON --> submitted by /u/netcommah (https://www.reddit.com/user/netcommah)
[link] (https://www.netcomlearning.com/blog/cloud-code) [comments] (https://www.reddit.com/r/programming/comments/1pscjp2/cloud_code_feels_magical_until_you_realize_what/)

AlloyDB for PostgreSQL: Familiar SQL, Very Unfamiliar Performance Characteristics
https://www.reddit.com/r/programming/comments/1psclu3/alloydb_for_postgresql_familiar_sql_very/

<!-- SC_OFF -->AlloyDB looks like “just Postgres on GCP” until you actually run real workloads on it. The surprises show up fast query performance that doesn’t behave like vanilla Postgres, storage and compute scaling that changes how you think about bottlenecks, and read pools that quietly reshape how apps should be architected. It’s powerful, but only if you understand what Google has modified under the hood and where it diverges from self-managed or Cloud SQL Postgres. This breakdown explains what AlloyDB optimizes, where it shines, and where assumptions from traditional Postgres can get you into trouble: AlloyDB (https://www.netcomlearning.com/blog/alloydb-for-postgresql) <!-- SC_ON --> submitted by /u/netcommah (https://www.reddit.com/user/netcommah)
[link] (https://www.netcomlearning.com/blog/alloydb-for-postgresql) [comments] (https://www.reddit.com/r/programming/comments/1psclu3/alloydb_for_postgresql_familiar_sql_very/)

A Git confusion I see a lot with junior devs: fetch vs pull
https://www.reddit.com/r/programming/comments/1psd3r3/a_git_confusion_i_see_a_lot_with_junior_devs/

<!-- SC_OFF -->I’ve seen quite a few junior devs get stuck when git pull suddenly throws conflicts, even though they “just wanted latest code”. I wrote a short explanation aimed at juniors that breaks down: what git fetch actually does why git pull behaves differently when the branch isn’t clean where git pull --rebase fits in No theory dump. Just real examples and mental models that helped my teams.
Sharing in case it helps someone avoid a confusing first Git conflict. <!-- SC_ON --> submitted by /u/sshetty03 (https://www.reddit.com/user/sshetty03)
[link] (https://medium.com/stackademic/the-real-difference-between-git-fetch-git-pull-and-git-pull-rebase-991514cb5bd6?sk=dd39ca5be91586de5ac83efe60075566) [comments] (https://www.reddit.com/r/programming/comments/1psd3r3/a_git_confusion_i_see_a_lot_with_junior_devs/)

Where should input validation and recovery logic live in a Java CLI program? (main loop vs input methods vs exceptions)
https://www.reddit.com/r/programming/comments/1psq57j/where_should_input_validation_and_recovery_logic/

<!-- SC_OFF -->I’m designing a Java CLI application based on a while loop with multiple user input points. My main question is about where input validation and error recovery logic should be placed when the user enters invalid input. Currently, I’m considering several approaches: A. Validate in main • Input methods return raw values • main checks validity • On invalid input, print an error message and continue the loop B. Validate inside input methods • Methods like getUserChoice() internally loop until valid input is provided • The method guarantees returning a valid value C. Use exceptions • Input methods throw exceptions on invalid input • The caller (e.g., main) catches the exception and decides how to recover All three approaches work functionally, but I’m unsure which one is more appropriate in a teaching project or small system, especially in terms of: • responsibility separation • readability • maintainability • future extensibility Is there a generally recommended approach for this kind of CLI application, or does it depend on context? How would you structure this in practice? <!-- SC_ON --> submitted by /u/Mission_Upstairs_242 (https://www.reddit.com/user/Mission_Upstairs_242)
[link] (https://www.reddit.com/r/programming/submit/) [comments] (https://www.reddit.com/r/programming/comments/1psq57j/where_should_input_validation_and_recovery_logic/)

BASIC is still alive Check out CYBERBASIC
https://www.reddit.com/r/programming/comments/1psscdn/basic_is_still_alive_check_out_cyberbasic/

submitted by /u/darkmatterjesus (https://www.reddit.com/user/darkmatterjesus)
[link] (https://github.com/CharmingBlaze/cyberbasic) [comments] (https://www.reddit.com/r/programming/comments/1psscdn/basic_is_still_alive_check_out_cyberbasic/)

Terraform: Best Practices and Cheat Sheet for the Basics
https://www.reddit.com/r/programming/comments/1pst4yq/terraform_best_practices_and_cheat_sheet_for_the/

submitted by /u/trolleid (https://www.reddit.com/user/trolleid)
[link] (https://lukasniessen.medium.com/terraform-best-practices-and-cheat-sheet-for-the-basics-2c7a3f812e49) [comments] (https://www.reddit.com/r/programming/comments/1pst4yq/terraform_best_practices_and_cheat_sheet_for_the/)

Programming Books I'll be reading in 2026.
https://www.reddit.com/r/programming/comments/1pswvem/programming_books_ill_be_reading_in_2026/

submitted by /u/Sushant098123 (https://www.reddit.com/user/Sushant098123)
[link] (https://sushantdhiman.substack.com/p/cs-books-ill-be-reading-in-2026) [comments] (https://www.reddit.com/r/programming/comments/1pswvem/programming_books_ill_be_reading_in_2026/)

Reducing OpenTelemetry Bundle Size in Browser Frontend
https://www.reddit.com/r/programming/comments/1pt0bpm/reducing_opentelemetry_bundle_size_in_browser/

submitted by /u/elizObserves (https://www.reddit.com/user/elizObserves)
[link] (https://newsletter.signoz.io/p/reducing-opentelemetry-bundle-size) [comments] (https://www.reddit.com/r/programming/comments/1pt0bpm/reducing_opentelemetry_bundle_size_in_browser/)

Ways to do Continuous Incremental Delivery - Part 2: A core database change
https://www.reddit.com/r/programming/comments/1pt1geh/ways_to_do_continuous_incremental_delivery_part_2/

<!-- SC_OFF -->I am doing some quite detailed run throughs of doing CI/CD Looking forward to discussions :-) <!-- SC_ON --> submitted by /u/martindukz (https://www.reddit.com/user/martindukz)
[link] (https://www.linkedin.com/pulse/ways-do-continuous-incremental-delivery-part-2-core-mortensen-mwmxe?utm_source=share&utm_medium=member_android&utm_campaign=share_via) [comments] (https://www.reddit.com/r/programming/comments/1pt1geh/ways_to_do_continuous_incremental_delivery_part_2/)

Functional Equality (rewrite)
https://www.reddit.com/r/programming/comments/1pt2c68/functional_equality_rewrite/

<!-- SC_OFF -->Three years after my original post here (https://www.reddit.com/r/programming/comments/13yjutr/functional_equality/), I've extensively rewritten my essay on Functional Equality vs. Semantic Equality in programming languages. It dives into Leibniz's Law, substitutability, caching pitfalls, and a survey of == across langs like Python, Go, and Haskell. Feedback welcome! <!-- SC_ON --> submitted by /u/Master-Reception9062 (https://www.reddit.com/user/Master-Reception9062)
[link] (https://jonathanwarden.com/functional-equality/) [comments] (https://www.reddit.com/r/programming/comments/1pt2c68/functional_equality_rewrite/)

Algorithmically Generated Crosswords: Finding 'good enough' for an NP-Complete problem
https://www.reddit.com/r/programming/comments/1pt2x8x/algorithmically_generated_crosswords_finding_good/

<!-- SC_OFF -->The library is on GitHub (Eyas/xwgen) and linked from the post, which you can use with a provided sample dictionary. <!-- SC_ON --> submitted by /u/eyassh (https://www.reddit.com/user/eyassh)
[link] (https://blog.eyas.sh/2025/12/algorithmic-crosswords/) [comments] (https://www.reddit.com/r/programming/comments/1pt2x8x/algorithmically_generated_crosswords_finding_good/)

Reverse Engineering of a Rust Botnet and Building a C2 Honeypot to Monitor Its Targets
https://www.reddit.com/r/programming/comments/1pt3wjv/reverse_engineering_of_a_rust_botnet_and_building/

submitted by /u/congolomera (https://www.reddit.com/user/congolomera)
[link] (https://medium.com/@mario.candela.personal/how-i-reverse-engineered-a-rust-botnet-and-built-a-c2-honeypot-to-monitor-its-targets-539f404db845?source=friends_link&sk=b58e4501f8cd75c896a136bb6e6f8363) [comments] (https://www.reddit.com/r/programming/comments/1pt3wjv/reverse_engineering_of_a_rust_botnet_and_building/)

Mitigating Cascading Failures in Distributed Systems :Architectural Analysis
https://www.reddit.com/r/programming/comments/1pt44im/mitigating_cascading_failures_in_distributed/

<!-- SC_OFF -->In high-scale distributed architectures, a marginal increase in latency within a leaf service is rarely an isolated event. Instead, it frequently serves as the catalyst for cascading failures—a systemic collapse where resource exhaustion propagates upstream, transforming localized degradation into a total site outage. The Mechanism of Resource Exhaustion The fundamental vulnerability in many microservices architectures is the reliance on synchronous, blocking I/O within fixed thread pools. When a downstream dependency (e.g., a database or a third-party API) transitions from a 100ms response time to a 10-second latency, the calling service’s worker threads do not vanish; they become blocked. Consider an API gateway utilizing a pool of 200 worker threads. If a downstream service slows significantly, these threads quickly saturate while waiting for I/O completion. Once the pool is exhausted, the service can no longer accept new connections, effectively rendering the system unavailable despite the process remaining “healthy” from a liveness-probe perspective. This is not a crash; it is thread starvation. https://sdcourse.substack.com/ https://systemdrd.com/ <!-- SC_ON --> submitted by /u/Extra_Ear_10 (https://www.reddit.com/user/Extra_Ear_10)
[link] (https://systemdr.substack.com/p/mitigating-cascading-failures-in) [comments] (https://www.reddit.com/r/programming/comments/1pt44im/mitigating_cascading_failures_in_distributed/)

Handling AI-Generated Code: Challenges & Best Practices • Roman Zhukov & Damian Brady
https://www.reddit.com/r/programming/comments/1pt53vu/handling_aigenerated_code_challenges_best/

submitted by /u/goto-con (https://www.reddit.com/user/goto-con)
[link] (https://youtu.be/SsiDLh9-TN8) [comments] (https://www.reddit.com/r/programming/comments/1pt53vu/handling_aigenerated_code_challenges_best/)

Breaking the Silence: A Platform Update
https://www.reddit.com/r/programming/comments/1pt59kv/breaking_the_silence_a_platform_update/

submitted by /u/avin_2020 (https://www.reddit.com/user/avin_2020)
[link] (https://viduli.io/blog/2025-12/breaking-the-silence) [comments] (https://www.reddit.com/r/programming/comments/1pt59kv/breaking_the_silence_a_platform_update/)

Lua 5.5 released with declarations for global variables, garbage collection improvements
https://www.reddit.com/r/programming/comments/1pt5gc0/lua_55_released_with_declarations_for_global/

submitted by /u/Fcking_Chuck (https://www.reddit.com/user/Fcking_Chuck)
[link] (https://www.phoronix.com/news/Lua-5.5-Released) [comments] (https://www.reddit.com/r/programming/comments/1pt5gc0/lua_55_released_with_declarations_for_global/)

AI Is Killing Our Online Interaction
https://www.reddit.com/r/programming/comments/1pt7432/ai_is_killing_our_online_interaction/

submitted by /u/ertucetin (https://www.reddit.com/user/ertucetin)
[link] (https://ertu.dev/posts/ai-is-killing-our-online-interaction/) [comments] (https://www.reddit.com/r/programming/comments/1pt7432/ai_is_killing_our_online_interaction/)

Twig – A privacy-first JSON/YAML viewer for the terminal
https://www.reddit.com/r/programming/comments/1pt7q82/twig_a_privacyfirst_jsonyaml_viewer_for_the/

submitted by /u/sk246903 (https://www.reddit.com/user/sk246903)
[link] (https://twig.wtf/) [comments] (https://www.reddit.com/r/programming/comments/1pt7q82/twig_a_privacyfirst_jsonyaml_viewer_for_the/)

A benchmark for one-shot catastrophe avoidance in RL agents (MiniGrid LavaCrossing)
https://www.reddit.com/r/programming/comments/1ptjeoq/a_benchmark_for_oneshot_catastrophe_avoidance_in/

<!-- SC_OFF -->I’m sharing a new benchmark and paper that tests a specific capability in reinforcement learning agents: whether an agent can learn a permanent safety constraint from a single catastrophic failure and generalize it to unseen environments. The benchmark uses the official MiniGrid LavaCrossing environments (no custom modifications, fixed seeds). The protocol is: Run an agent until it experiences its first lava death Freeze the agent (no training, no gradients, no parameter updates) Evaluate on hundreds of unseen episodes Measure whether the agent ever steps into lava again The key metric is post_death_lava_deaths, which should be zero for true one-shot constraint learning. A public benchmark harness is included so others can test their own agents under the same rules. The paper describes the protocol, metrics, and design decisions in detail. Feedback from people working in RL, safety, or benchmarks would be especially welcome. <!-- SC_ON --> submitted by /u/anima-core (https://www.reddit.com/user/anima-core)
[link] (https://zenodo.org/records/18027900) [comments] (https://www.reddit.com/r/programming/comments/1ptjeoq/a_benchmark_for_oneshot_catastrophe_avoidance_in/)

Implementing “Remember Me” in Java Swing (Real User Management Module)
https://www.reddit.com/r/programming/comments/1ptkrgl/implementing_remember_me_in_java_swing_real_user/

<!-- SC_OFF -->I’m working on a complete Library Management System using Java Swing and MySQL, and in Part 31 of the series I implemented a “Remember Me” functionality inside the User Management / Login module. Many Java Swing tutorials stop at basic login forms, but this video focuses on real-world behavior that users actually expect. What’s covered in this video? Login system with Remember Me checkbox Secure credential handling (no plain text passwords) Saving & loading login state properly Java Swing UI + backend logic separation JDBC + MySQL integration Best practices for desktop authentication Why this matters “Remember Me” seems simple, but implementing it correctly and safely in a desktop application is often skipped or done incorrectly. This video walks through the logic step-by-step as part of a real project, not a demo app. Who this is for? Java Swing learners Students building final-year projects Developers learning desktop authentication flows Anyone moving from basics to real systems YouTube Video (Part 31 – Remember Me Functionality):
Part 31 — Java Swing Library System | Part 8 User Management Module – Remember Me Functionality (https://www.youtube.com/watch?v=0QlgVoE0vJc&t=13s) Full Library Management System Playlist:
https://www.youtube.com/playlist?list=PLR_BEPp_tMBv2T4zT7Z0rL-zgLL6WxEmF <!-- SC_ON --> submitted by /u/Substantial-Log-9305 (https://www.reddit.com/user/Substantial-Log-9305)
[link] (https://www.youtube.com/watch?v=0QlgVoE0vJc&t=13s) [comments] (https://www.reddit.com/r/programming/comments/1ptkrgl/implementing_remember_me_in_java_swing_real_user/)

Talks Worth Watching – Week of 2025-12-22
https://www.reddit.com/r/programming/comments/1ptm55f/talks_worth_watching_week_of_20251222/

<!-- SC_OFF -->This week's HFT Weekly roundup covers seven conference talks united by a common theme: domain knowledge beats generic optimization. Highlights include Greg Law's L3 logging library achieving 1ns latency by eliminating locks via memory-mapped buffers and atomic operations, Khalil Estell's 90% reduction in C++ exception overhead through smarter table search algorithms, Denis Yaroshevskiy explaining C++26 hazard pointers for lock-free config access at Meta, and Andrew Drakeford demonstrating a million-times speedup in leave-one-out regression by exploiting mathematical properties rather than just cache locality. The week's takeaway: before reaching for SIMD or optimizing data layout, spend time understanding what your code actually does at the domain level—that's where the biggest wins hide. <!-- SC_ON --> submitted by /u/OkSadMathematician (https://www.reddit.com/user/OkSadMathematician)
[link] (https://hftuniversity.com/2025/12/23/hft-weekly-2025-12-22-3/) [comments] (https://www.reddit.com/r/programming/comments/1ptm55f/talks_worth_watching_week_of_20251222/)