# Computer science Computer science is the foundational discipline of computing that studies the use of computers to systematically solve problems. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## A theoretical separation between quantum computers & LLMs DevFeed: [A theoretical separation between quantum computers & LLMs]() Original publisher: [Read original article]() Author: Srinivasan Arunachalam; Arkopal Dutt; Hari Krovi; Rik Sengupta; Ryan Mandelbaum Published: 2026-09-15T04:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [LLMs](), [Computer science]() Tags: [ai](), [computer-science](), [llms](), [quantum](), [research](), [science]() ### AI overview The article discusses research showing theoretical separations between shallow quantum circuits and restricted large language models. The work identifies computational problems involving function computation and sampling where shallow quantum circuits have a provable advantage, while emphasizing that the results are theoretical rather than immediately practical. ### Source excerpt Recent research further demonstrates the theoretical abilities of quantum computing ## Casey Muratori: Surprises In Computer History And Where Bad Code Comes From DevFeed: [Casey Muratori: Surprises In Computer History And Where Bad Code Comes From]() Original publisher: [Read original article]() Author: Ryan Peterman Published: 2026-09-14T13:03:29Z Content type: article Language: en Sources: [The Developing Dev]() Topics: [Computer science](), [Programming](), [Optimization](), [Code]() Tags: [code](), [optimization](), [performance](), [programming](), [science]() ### AI overview A podcast conversation with Casey Muratori explores computer science history, programming culture, the video game industry, and the lasting interpretations of Donald Knuth's warning about premature optimization. ### Source excerpt In this episode, my goal was to record a conversation that was completely free of any "AI doom" content. ## DSF member of the month - Benjamin Balder Bach DevFeed: [DSF member of the month - Benjamin Balder Bach]() Original publisher: [Read original article]() Author: Sarah Abderemane Published: 2026-08-31T05:00:00Z Content type: article Language: en Sources: [The Django weblog]() Topics: [Django](), [PHP](), [Computer science](), [HTML](), [SQL]() Tags: [community](), [developers](), [development](), [django](), [framework](), [open-source](), [php](), [python](), [sql](), [support]() ### AI overview An August 2026 Django community profile introduces Benjamin Balder Bach, highlighting his work with Django Day Copenhagen and the Social Media Working Group. He discusses his path from self-taught web designer to computer science and digital design studies, along with his experience using HTML, SQL, ASP classic, PHP, and Django. The interview connects Django's emphasis on rapid development with the importance of understanding users through developer involvement in frontline support. ### Source excerpt For August 2026, we welcome Benjamin Balder Bach as our DSF member of the month! ⭐ Benjamin has long been part of the Django community, serving for years as an organizer of Django Day Copenhagen and as Chair of the Social Media Working Group. He is a DSF member since June 2020! You can learn more about Benjamin by visiting Benjamin's website and his GitHub Profile. Let's spend some time getting to know Benjamin better! Can you tell us a little about yourself? (hobbies, education, etc) Hello! I like DIY in general, so whether it's software, cooking, sewing, growing plants or building stuff with wood - I really like practical things with a finish in sight. I really don't mind when it's not a software project, though 😇 I'll try to nail what my education and work is about: I started as a self-taught programmer when I had a job at 15 (as a web designer). Before that, I had been delivering newspapers and cleaning toilets at my school, so it was a pretty big leap forward. I knew HTML but learned about SQL and ASP classic (not .net) because my employer back in 2000 let me learn while working. Fast-forward, I studied Computer Science from 2005 and took my masters degree in Digital Design and Communication - heavily inspired by years of PHP and Django experience, my thesis ended up being about "Risky and Rapid Design Spaces" (2013) - a concept/anecdote that I still stand by. It becomes relevant in the context of Django because the front-and-center message and goal of the framework is to "encourages rapid development". "Rapid" means that we iterate and deploy changes quickly (with lots of aspects of what that means). But I think we need to understand and frame the "risky" part, especially understanding that a GIANT risk-avertion factor is to have developers understand and share context with users, whether they are clients, customers or staff colleagues. For instance, while I was working at Read the Docs, we had developers rotating on frontline support, meaning that everyone in ## No robots in the gym, with Keith Hoodlet DevFeed: [No robots in the gym, with Keith Hoodlet]() Original publisher: [Read original article]() Author: info@1password.com (Dave Lewis) Published: 2026-08-14T00:00:00Z Content type: article Language: en Sources: [Blog on 1Password Blog]() Topics: [Security](), [Artificial Intelligence](), [Computer science](), [Visual Basic](), [GitHub]() Tags: [ai](), [blog](), [career](), [github](), [leadership](), [podcast](), [podcasts](), [research](), [security](), [spoof]() ### AI overview An article about Keith Hoodlet's nonlinear path into security research, his work at 1Password and Off-by-1 Labs, and lessons from his experience in psychology, computer science, leadership, and AI bias research. ### Source excerpt Listen to the episode on Apple Podcasts null Listen now Listen to this episode on Spotify null Listen now This week on the Chasing Entropy Podcast, host Dave Lewis sits down with Keith Hoodlet, Director of Security Research at 1Password and leader of the newly formed Off-by-1 Labs. Keith's mission? "To throw stones at glass houses, not to hear the crash necessarily, but to help people build better and more secure houses." A villain-turned-hero origin story As Keith puts it, "I've always been really focused on skill acquisition over formal titling or formalized skillsets in many ways." After all, he got his start as a self-proclaimed "unpaid punk on the internet, messing with video games, mostly." As a teen, Keith would spoof other Diablo players by using a trial key from the back of a CD case, and taught himself Visual Basic so he could spam StarCraft opponents. He realized early on that he was "pretty good at the whole computer thing." That's why he decided to major in psychology - it was something he couldn't do. He wanted to understand people better. Graduating in the midst of the housing market crash had him working odd jobs for several years. He returned to school for computer science, only to drop out when he received a job offer. From there, he built his career gradually through roles at Bugcrowd, Thermo Fisher Scientific, GitHub, Trail of Bits, and now 1Password. It may have been a nonlinear career path, but there have been plenty of highlights throughout that journey, including winning the U.S. Department of Defense's 2024 bias bounty program; it was one of the first times an organization paid external researchers to prove an AI system was biased and unfit for its intended use. Keith continues to make use of the varied skills he built over those years. For instance, his psychology background may not show up in threat models, but it shows up daily in his leadership: "I start from a place of approaching the other party that I'm interacting with as first a hum ## Andy Pavlo joins ClickHouse to establish ClickHouse Labs DevFeed: [Andy Pavlo joins ClickHouse to establish ClickHouse Labs]() Original publisher: [Read original article]() Author: Andy Pavlo Published: 2026-08-03T13:33:44Z Content type: news Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Databases](), [Computer science](), [PostgreSQL](), [C++](), [Open Source]() Tags: [c-plus-plus](), [clickhouse](), [collaboration](), [database](), [databases](), [engineering](), [open-source](), [postgresql](), [research]() ### AI overview ClickHouse announces that Andy Pavlo is joining the company to establish and lead ClickHouse Labs, a new industry research organization focused on database technology. The group will collaborate closely with ClickHouse engineers, customers, partners, and the PostgreSQL team to develop and share new ideas while improving performance and reliability. ### Source excerpt I am excited to announce that I am joining ClickHouse, Inc. to establish and lead a new research team at ClickHouse Labs. ## Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83 DevFeed: [Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83]() Original publisher: [Read original article]() Author: Jane Halpern | Department of Electrical Engineering and Computer Science Published: 2026-07-22T17:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Optimization](), [Computer science](), [Electrical engineering and computer science (EECS)](), [AI Research](), [Artificial Intelligence](), [Reinforcement learning]() Tags: [alumni-ae](), [artificial-intelligence](), [asu-ozdaglar](), [athena-scientific](), [bayforest-technologies](), [books-and-authors](), [computer-science](), [computer-science-and-technology](), [convex-analysis](), [dimitri-bertsekas](), [electrical-engineering-and-computer-science-eecs](), [faculty](), [laboratory-for-information-and-decision-systems-lids](), [large-scale-computation](), [mit-books-and-authors](), [mit-eecs-faculty](), [mit-faculty-obituary](), [mit-lids](), [mit-photographers](), [mit-sandbox-innovation-fund-program](), [mit-schwarzman-college-of-computing](), [munther-dahleh](), [network-optimization](), [networks](), [neurodynamic-programming](), [obituaries](), [optimization](), [photography](), [programming](), [reinforcement-learning](), [research](), [robert-gallager](), [school-of-engineering]() ### AI overview An obituary remembers Dimitri Bertsekas, an MIT professor emeritus and influential computer scientist who died at 83. His work shaped optimization, control, large-scale computation, reinforcement learning, and artificial intelligence, while his books and mentorship influenced generations of students and researchers. ### Source excerpt Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence. ## Bailey Flanigan uses computational and mathematical tools to study democratic participation DevFeed: [Bailey Flanigan uses computational and mathematical tools to study democratic participation]() Original publisher: [Read original article]() Author: Michaela Jarvis | MIT Laboratory for Information and Decision Systems Published: 2026-07-17T17:25:00Z Content type: article Language: en Sources: [MIT AI News]() Topics: [Computer science](), [Electrical engineering and computer science (EECS)](), [math](), [MIT Schwarzman College of Computing]() Tags: [ai-and-democracy](), [ai-in-politics](), [algorithms](), [artificial-intelligence](), [bailey-flanigan](), [computer-science](), [computer-science-and-technology](), [defending-democracy](), [democracy](), [democratic-decision-making](), [electrical-engineering-and-computer-science-eecs](), [faculty](), [government](), [labor-and-jobs](), [laboratory-for-information-and-decision-systems-lids](), [math](), [mit-eecs-faculty](), [mit-faculty-profile](), [mit-lids](), [mit-political-science](), [mit-schwarzman-college-of-computing](), [political-legitimacy](), [political-science](), [politics](), [profile](), [public-health](), [research](), [school-of-engineering](), [school-of-humanities-arts-and-social-sciences](), [science](), [technology-and-society](), [wisconsin-innocence-project]() ### AI overview An MIT faculty member, Bailey Flanigan studies how computational and mathematical tools can create new avenues for meaningful democratic participation. The article describes her interdisciplinary path across computer science, political science, medicine, public health, economics, and related fields. ### Source excerpt Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive. ## Devavrat Shah's research and Ikigai Labs use tabular data for real-time forecasting and decision-making DevFeed: [Devavrat Shah's research and Ikigai Labs use tabular data for real-time forecasting and decision-making]() Original publisher: [Read original article]() Author: David Chandler | Laboratory for Information and Decision Systems Published: 2026-07-14T20:25:00Z Content type: article Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [decision-making](), [Structured-data](), [AI Models](), [data](), [Time Series](), [Computer science](), [Electrical engineering and computer science (EECS)](), [Temporal data](), [systems]() Tags: [ai](), [ai-and-decision-making](), [ai-in-business-planning](), [ai-models](), [algorithms](), [artificial-intelligence](), [business-and-management](), [business-modeling](), [celonis-context-model](), [computer-science-and-technology](), [data](), [data-systems](), [decision-making](), [devavrat-shah](), [electrical-engineering-and-computer-science-eecs](), [faculty](), [forecasting](), [idss](), [ikigailabs](), [laboratory-for-information-and-decision-systems-lids](), [mit-eecs](), [mit-idss](), [mit-intellectual-property](), [mit-lids](), [mit-schwarzman-college-of-computing](), [predictions](), [profile](), [real-time](), [research](), [school-of-engineering](), [startups](), [structured](), [tabular-data](), [time-series-data]() ### AI overview MIT Professor Devavrat Shah's research led to a foundation model for tabular and time-series enterprise data. Developed with Ikigai Labs, the system continuously tests predictions against real outcomes to support large-scale forecasting and decision-making. ### Source excerpt Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources. ## From Campus to Community Part Two: The Researcher Exodus DevFeed: [From Campus to Community Part Two: The Researcher Exodus]() Original publisher: [Read original article]() Author: Nithya Ruff Published: 2026-07-13T14:07:27Z Content type: opinion Language: en Sources: [Linux Foundation - Blog]() Topics: [Artificial Intelligence](), [linux foundation](), [Open Source](), [Deep learning](), [Computer science](), [Hardware](), [Robotics]() Tags: [ai](), [computer-science](), [deep-learning](), [hardware](), [linux-foundation](), [open-source](), [robotics]() ### AI overview The second part of a Linux Foundation series argues that AI researchers leaving universities for industry jobs, combined with limited academic access to computing resources, is weakening open-source development and academic research. It cites faculty departure data and examples from Carnegie Mellon and other research communities. ### Source excerpt This is a series from Linux Foundation Board Chair, Nithya Ruff. Part One can be found here. ## Tiny robot boats build floating structures DevFeed: [Tiny robot boats build floating structures]() Original publisher: [Read original article]() Author: Rachel Gordon | MIT CSAIL Published: 2026-07-09T15:50:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Robotics](), [Computer Science and Artificial Intelligence Laboratory (CSAIL)](), [Computer science]() Tags: [alejandro-gonzalez-garcia](), [aquatic-robots](), [architecture](), [artificial-intelligence](), [autonomous-vehicles](), [bioinspiration](), [cities](), [computer-science-and-artificial-intelligence-laboratory-csail](), [computer-science-and-technology](), [daniela-rus](), [electrical-engineering-and-computer-science-eecs](), [fire-ants](), [floatform](), [floating-infrastructure](), [hybrid-coordination](), [infrastructure](), [machine-learning](), [mit-csail](), [mit-eecs](), [mit-schwarzman-college-of-computing](), [mit-sea-grant](), [mit-sea-grant-program](), [mit-senseable-city-lab](), [modular-robotic-boats](), [modular-self-reconfigurable-robots](), [niklas-hagemann](), [nonlinear-hydrodynamics](), [raft](), [research](), [robot-boats](), [robot-self-assembly](), [robotics](), [robots](), [school-of-architecture-and-planning](), [school-of-engineering](), [science](), [self-reconfiguration](), [senseable-city-lab](), [snap](), [swarm](), [swarm-robots](), [tiny](), [transportation](), [ultrasonic-beacon-system](), [urban-studies-and-planning](), [water](), [wei-wang]() ### AI overview MIT researchers developed FloatForm, a swarm of small robotic boats that can assemble into reconfigurable structures on the water and later break apart and reassemble into new configurations with minimal human direction. ### Source excerpt MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water. ## 3 Questions: Beyond data-driven aesthetics DevFeed: [3 Questions: Beyond data-driven aesthetics]() Original publisher: [Read original article]() Author: School of Architecture and Planning Published: 2026-06-29T18:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [Data visualization](), [Algorithms](), [Mathematics](), [Computer science](), [Machine learning]() Tags: [3-questions](), [aesthetic-judgment](), [ai](), [ai-and-aesthetics](), [alexandros-haridis](), [algorithms](), [alumni-ae](), [applied-arts](), [architecture](), [artificial-intelligence](), [beyond-data-driven-aesthetics](), [computational-aesthetics](), [computer-science-and-technology](), [data](), [data-visualization](), [design](), [design-computation](), [exhibits](), [interactive-installations](), [interview](), [machine-learning](), [mit-architecture](), [mit-exhibits](), [mit-keller-gallery](), [mit-sa-plus-p](), [philosophy](), [research](), [school-of-architecture-and-planning](), [shape-grammars](), [special-events-and-guest-speakers]() ### AI overview An MIT Keller Gallery exhibition by Alexandros Haridis examines the history of aesthetic judgment and creative production in computing, connecting architecture, design computation, algorithms, and machine-learning systems. ### Source excerpt In a new Keller Gallery exhibition, Alexandros Haridis SM '17, PhD '22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible. ## Ryan Williams Explains the 3SUM Problem and Its O(n²) Solution DevFeed: [Ryan Williams Explains the 3SUM Problem and Its O(n²) Solution]() Original publisher: [Read original article]() Author: Ryan Peterman Published: 2026-06-29T10:02:33Z Content type: article Language: en Sources: [The Developing Dev]() Topics: [LeetCode](), [Algorithm](), [Computer science]() Tags: [algorithm](), [apple](), [computer-science](), [go](), [youtube]() ### AI overview An interview with MIT professor Ryan Williams begins with the LeetCode 3SUM problem. It explains the brute-force O(n³) approach and an O(n²) method that sorts the numbers and uses two moving pointers to search for a solution. ### Source excerpt Ryan Williams is a professor at MIT and the winner of the Gödel Prize in theoretical computer science. ## Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson DevFeed: [Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson]() Original publisher: [Read original article]() Author: Ryan Peterman Published: 2026-06-01T10:02:09Z Content type: article Language: en Sources: [The Developing Dev]() Topics: [Algorithms, Complexity](), [Computer science](), [Programming]() Tags: [algorithm](), [algorithms](), [computer-science]() ### AI overview An interview with Avi Wigderson explains the P versus NP problem as a question about which problems computers can solve efficiently and which solutions can be efficiently checked. The discussion connects these ideas to algorithms and real-world applications such as navigation. ### Source excerpt His field of study & life's work ## Dropbox's Former Most Senior Eng: Building Great Systems and Advice for the AI Era | James Cowling DevFeed: [Dropbox's Former Most Senior Eng: Building Great Systems and Advice for the AI Era | James Cowling]() Original publisher: [Read original article]() Author: Ryan Peterman Published: 2026-05-25T10:00:57Z Content type: opinion Language: en Sources: [The Developing Dev]() Topics: [systems](), [distributed-systems](), [Concurrency](), [Transactions](), [Computer science](), [Replication](), [Protocol (disambiguation)]() Tags: [concurrency](), [consensus](), [distributed](), [distributed-system](), [distributed-transaction](), [protocol](), [replication](), [systems](), [technical](), [transactions]() ### AI overview A podcast interview with James Cowling, CTO of Convex and former senior engineer at Dropbox, about designing abstractions and large-scale transactional systems. Cowling discusses Granola, distributed transaction coordination, concurrency, Byzantine fault tolerance, and career advice in the context of AI. ### Source excerpt Transcript & Audio ## \[GSoC 2026\] Bluetooth: HCI Improvements & HID Profile | Haiku Project DevFeed: [\[GSoC 2026\] Bluetooth: HCI Improvements & HID Profile | Haiku Project]() Original publisher: [Read original article]() Author: mohammedrattia Published: 2026-05-03T13:46:03Z Content type: article Language: en Sources: [Haiku Project]() Topics: [Bluetooth](), [Computer science](), [Development](), [Software Engineering](), [Operating system]() Tags: [2026](), [bluetooth](), [computer-science](), [google-summer-of-code](), [gsoc](), [gsoc2026](), [haiku](), [hci](), [hid](), [improvements](), [profile](), [programming](), [project](), [software](), [software-engineer](), [software-engineering](), [systems]() ### AI overview A GSoC 2026 proposal for Haiku aims to modernize the operating system's Bluetooth stack and implement the Bluetooth HID profile. The planned work includes completing HCI commands, improving pairing and Link Key persistence, and handling disconnection and timeout events. ### Source excerpt Hello! I'm Mohammed R. Attia, a 2nd-year Computer Science Student. I've been accepted into Google Summer of Code (GSoC) 2026 with Haiku, with my proposal titled "Modernizing Haiku's Bluetooth Stack: HCI Completion and HID Profile Implementation." About Me I consider myself a competitive programmer and a software engineer. I haven't decided on a specific specialization in software engineering just yet; rather, I'm interested in systems development and low-level programming. You can check my GitHub for more information about my latest projects. I go by the handle mohammedrattia in many places on the internet, so feel free to reach out :). How did I get here? I first learned about Haiku while searching for GSoC organizations to contribute to. It was my first time learning about a desktop operating system other than the famous trio: Windows, macOS, and Linux. So, I started by reading the GSoC guide and joining IRC. I remember that the process was smooth because the guide contained everything, and people on IRC were welcoming and supportive. Then, I started working towards building Haiku, and I got my first commit merged into Haiku after several days. Current Goals The main goal of my proposal in GSoC is to modernize the Bluetooth stack. Currently, the Bluetooth stack in Haiku can't communicate effectively with modern Bluetooth devices because of the outdated standards it uses. However, making the Bluetooth core perfectly align with modern standards won't benefit Haiku users because it would still need a Bluetooth Profile to perform a useful task. One of the most common uses of Bluetooth is Human Interface Devices (HID) (e.g., keyboards and mice). Accordingly, this project will build the HID Bluetooth profile to provide useful functionality for Haiku users. The following three sub-sections contain a brief specification for the goals of the project from my GSoC proposal. Modern HCI Event & Command Handling Build upon the recent SSP/EIR groundwork by implementing the remai ## Sorting Algorithms Series DevFeed: [Sorting Algorithms Series]() Original publisher: [Read original article]() Author: baeldung Published: 2026-04-01T15:54:31Z Content type: article Language: en Sources: [Baeldung - CS]() Topics: [Sorting](), [Algorithms](), [Algorithms, Complexity](), [Computer science]() Tags: [algorithms](), [analysis](), [comparison](), [complexity](), [efficiency](), [guide](), [memory](), [series](), [series-sorting](), [sorting](), [time]() ### AI overview A guide to sorting algorithms, covering comparison-based methods such as merge sort, quicksort, and heapsort alongside adaptive and specialized non-comparison algorithms. It focuses on trade-offs involving time complexity, stability, memory requirements, and practical applicability. ### Source excerpt This guide covers the full spectrum of sorting: from foundational comparisons and merge sort to quicksort, heapsort, adaptive algorithms, and specialized non-comparison sorts. The post Sorting Algorithms Series first appeared on Baeldung on Computer Science. Related Stories Natural Language Processing (NLP) Series Cycle Sort Algorithm LaTeX Series ## Accelerating Mathematical and Scientific Discovery with Gemini Deep Think DevFeed: [Accelerating Mathematical and Scientific Discovery with Gemini Deep Think]() Original publisher: [Read original article]() Author: Thang Luong; Vahab Mirrokni Published: 2026-02-09T16:12:06Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Artificial Intelligence](), [Machine Learning & Artificial Intelligence](), [Combinatorial optimization](), [Algorithms](), [Mathematics](), [Optimization](), [Computer science](), [Training AI Models](), [Streams](), [data](), [Network]() Tags: [ai](), [algorithms](), [combinatorial-optimization](), [data](), [gemini](), [optimization](), [physics](), [research](), [science](), [streams](), [training]() ### AI overview An advanced version of Gemini Deep Think helped researchers resolve long-standing problems across algorithms, machine learning optimization, combinatorial optimization, economics, and physics. The article highlights new counterexamples, mathematical explanations for AI training techniques, an extension of an auction theorem to real-valued bids, and a closed-form solution for integrals involving cosmic-string singularities. ### Source excerpt Research papers point to the growing impact of Deep Think across fields ## Why focused coding time may be limited to a few hours per day DevFeed: [Why focused coding time may be limited to a few hours per day]() Original publisher: [Read original article]() Author: Dr Milan Milanović Published: 2026-01-29T16:02:51Z Content type: opinion Language: en Sources: [Tech World With Milan Newsletter]() Topics: [coding](), [meetings](), [Computer science]() Tags: [burnout](), [coding](), [context](), [cycle-time](), [developer](), [meetings](), [strategies](), [techniques]() ### AI overview This commentary argues that developers may have only three to four hours of high-focus coding capacity per day. It discusses cognitive limits, interruptions, meetings, flow, and deep-work strategies, while recommending practices such as time-blocking, batching communication, async defaults, and no-meeting days. ### Source excerpt Most of us have felt it: after a few solid hours of coding, your brain starts shutting down. ## Good technology blogs: a reading list for the holidays DevFeed: [Good technology blogs: a reading list for the holidays]() Original publisher: [Read original article]() Author: Alexey Milovidov Published: 2025-12-29T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [Programming](), [Algorithms, Complexity](), [Data structures](), [Databases](), [Computer science](), [Parsing](), [systems](), [Networks](), [Web Development](), [Artificial Intelligence]() Tags: [blog](), [compilers](), [data-structures](), [databases](), [hardware](), [networks](), [performance](), [programming](), [systems](), [web-development]() ### AI overview A holiday reading list of favorite technology blogs covering performance optimization, data structures and algorithms, database development, compilers, operating systems, programming languages, computer science, mathematics, hardware, networks, web development, computer graphics, and AI. It highlights authors and libraries connected to high-performance software and ClickHouse, including simdjson, Roaring bitmap, USearch, StringZilla, Hyperscan, Miniselect, LZ4, and zstd. ### Source excerpt A collection of my favorite technology blogs ## A little bit uncomfortable DevFeed: [A little bit uncomfortable]() Original publisher: [Read original article]() Author: werner@allthingsdistributed.com (Dr. Werner Vogels) Published: 2025-12-16T12:30:00Z Content type: opinion Language: en Sources: [All Things Distributed]() Topics: [vulnerability](), [Computer science](), [Operating system](), [distributed-systems]() Tags: [article](), [posts](), [research](), [systems](), [vulnerability]() ### AI overview The article reflects on public-speaking anxiety and argues that discomfort and fear can signal meaningful growth. It recounts a difficult early research presentation, where criticism from the authors of Plan 9 left the writer shaken, while encouraging readers to pay attention to what currently makes them uncomfortable. ### Source excerpt Fear is actually a pretty good signal that you are pushing into the unknown, that real growth doesn't happen without a bit of that associated discomfort, and that it's worth becoming aware when it happens. Aware enough to consider actually leaning into it. ## Advancing science and math with GPT-5.2 DevFeed: [Advancing science and math with GPT-5.2]() Original publisher: [Read original article]() Published: 2025-12-11T10:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [Artificial Intelligence](), [Benchmark](), [math](), [Computer science]() Tags: [ai](), [benchmarks](), [math](), [models](), [openai](), [publication](), [reasoning](), [research]() ### AI overview OpenAI describes how GPT-5.2 Pro and GPT-5.2 Thinking are being used to support scientific and mathematical research. The article highlights improved reliability, reasoning, abstraction, and performance on the GPQA Diamond and FrontierMath benchmarks, along with applications in areas such as coding, data analysis, simulations, and experimental design. ### Source excerpt GPT-5.2 is OpenAI's strongest model yet for math and science, setting new state-of-the-art results on benchmarks like GPQA Diamond and FrontierMath. This post shows how those gains translate into real research progress, including solving an open theoretical problem and generating reliable mathematical proofs. ## Bloom filters: the niche trick behind a 16x faster API DevFeed: [Bloom filters: the niche trick behind a 16x faster API]() Original publisher: [Read original article]() Author: Mike Fisher Published: 2025-11-14T11:09:53Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [API](), [Latency](), [Computer science](), [Databases](), [Monitoring]() Tags: [api](), [deep-dive](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [io](), [latency](), [outage](), [performance](), [post-mortem](), [postgres](), [slack-incident]() ### AI overview This deep dive explains how incident.io reduced the P95 latency of an API endpoint from 5 seconds to 0.3 seconds using a Bloom filter. It describes the alert-history filtering problem, the performance impact of handling millions of alerts in Postgres, the alternatives considered, and the underlying technique. ### Source excerpt This post is a deep dive into how we improved the P95 latency of an API endpoint from 5s to 0.3s using a niche little computer science trick called a bloom filter. ## Building Community and Innovation with Laravel Senegal: The Artisan of the Day Is Idrissa Ndiouck. DevFeed: [Building Community and Innovation with Laravel Senegal: The Artisan of the Day Is Idrissa Ndiouck.]() Original publisher: [Read original article]() Author: Ana Tavares Published: 2025-11-07T15:06:02Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [Laravel](), [PHP](), [Livewire](), [Open Source](), [Programming](), [Symfony](), [Tailwind CSS](), [Computer science](), [Networks]() Tags: [africa](), [alpine](), [building](), [coding](), [community](), [developer](), [development](), [innovation](), [laravel](), [networks](), [open](), [open-source](), [php](), [programming](), [real-time](), [software](), [tailwind](), [technology]() ### AI overview This profile of Idrissa Ndiouck describes how Laravel supported his transition into software development and his work as a co-founder of Laravel Senegal. As a full-stack developer and software architect at Global Business Group, he uses PHP and the TALL stack to build HR, business, inventory, point-of-sale, and real-time weather applications. The article also highlights his non-traditional education and efforts to promote digital innovation and developer growth in West Africa. ### Source excerpt Idrissa Ndiouck, co-founder of Laravel Senegal and developer at GBG, is using Laravel to empower a new generation of African developers and innovators. ## Design for Amiability: Lessons from Vienna DevFeed: [Design for Amiability: Lessons from Vienna]() Original publisher: [Read original article]() Author: by Mark Bernstein Published: 2025-10-15T15:35:00Z Content type: article Language: en Sources: [A List Apart: The Full Feed]() Topics: [Web](), [Computer science](), [Math and Logic]() Tags: [community](), [community-industry-state-of-the-web-web-strategy](), [design](), [history](), [industry](), [math](), [research](), [state-of-the-web](), [web](), [web-strategy]() ### AI overview The article examines how amiable design can improve web environments and uses the Vienna Circle and the origins of computer science in Vienna as a historical case study. It connects the quality of interaction in research communities with the design of welcoming online spaces. ### Source excerpt Today's web is not always an amiable place. Sites greet you with a popover that demands assent to their cookie policy, and leave you with Taboola ads promising "One Weird Trick!" to cure your ailments. Social media sites are tuned for engagement, and few things are more engaging than a fight. Today it seems that people want to quarrel; I have seen flame wars among birders. These tensions are often at odds with a site's goals. If we are providing support and advice to customers, we don't want those customers to wrangle with each other. If we offer news about the latest research, we want readers to feel at ease; if we promote upcoming marches, we want our core supporters to feel comfortable and we want curious newcomers to feel welcome. In a study for a conference on the History of the Web, I looked to the origins of Computer Science in Vienna (1928-1934) for a case study of the importance of amiability in a research community and the disastrous consequences of its loss. That story has interesting implications for web environments that promote amiable interaction among disparate, difficult (and sometimes disagreeable) people. The Vienna Circle Though people had been thinking about calculating engines and thinking machines from antiquity, Computing really got going in Depression-era Vienna. The people who worked out the theory had no interest in building machines; they wanted to puzzle out the limits of reason in the absence of divine authority. If we could not rely on God or Aristotle to tell us how to think, could we instead build arguments that were self-contained and demonstrably correct? Can we be sure that mathematics is consistent? Are there things that are true but that cannot be expressed in language? The core ideas were worked out in the weekly meetings (Thursdays at 6) of a group remembered as the Vienna Circle. They got together in the office of Professor Moritz Schlick at the University of Vienna to discuss problems in philosophy, math, and language. The i [Next page]()