# Publication Published articles for Publication. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Kotlin Toolchain 0.12: Multiplatform Library Publishing, Wasm Apps, and More DevFeed: [Kotlin Toolchain 0.12: Multiplatform Library Publishing, Wasm Apps, and More]() Original publisher: [Read original article]() Author: Joffrey Bion Published: 2026-09-03T10:40:05Z Content type: release Language: en Sources: [Kotlin : A concise multiplatform language developed by JetBrains | The JetBrains Blog]() Topics: [toolchain](), [multiplatform](), [compose-hot-reload](), [web applications](), [Spring Boot 4]() Tags: [compose-hot-reload](), [gradle](), [intellij-idea](), [kotlin](), [multiplatform](), [news](), [publication](), [releases](), [toolchain](), [toolchains](), [wasm]() ### AI overview Kotlin Toolchain 0.12.0 adds multiplatform library publishing and previews support for building Wasm modules as web applications. It also includes command-line Compose Hot Reload and changes intended to reduce Maven Central publication files. ### Source excerpt Kotlin Toolchain 0.12.0 is out. This release brings some long-awaited features: multiplatform libraries publication, a preview of Wasm application support, Compose Hot Reload from the command line, and more. Read on for the details, and check the release notes for the full list of changes and bug fixes. Additionally, klibs.io now uses the Kotlin Toolchain [...] ## The Pragmatic Engineer: Five years DevFeed: [The Pragmatic Engineer: Five years]() Original publisher: [Read original article]() Author: Gergely Orosz Published: 2026-09-01T17:14:34Z Content type: opinion Language: en Sources: [The Pragmatic Engineer]() Topics: [Software Engineering](), [Software]() Tags: [engineering](), [events](), [publication](), [software-engineering]() ### AI overview The Pragmatic Engineer reflects on reaching its fifth anniversary, describing the publication's growth from its 2021 launch to more than 1.1 million readers, tens of thousands of paid subscribers, a podcast, and more than 500,000 YouTube subscribers. The article also announces upcoming events and a temporary annual subscription offer. ### Source excerpt As the newsletter reaches its fifth birthday, we reflect on how the publication has changed, and what to expect. Also: the launch of the 'How Software Engineering is Changing' essay contest ## Recommended Draft RIR Governance Document, Rationale report, and next steps DevFeed: [Recommended Draft RIR Governance Document, Rationale report, and next steps]() Original publisher: [Read original article]() Author: Hervé Clément Published: 2026-09-01T06:03:50Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Internet](), [Process]() Tags: [aso](), [community](), [governance](), [guest-post](), [icp-2](), [nro](), [policy](), [publication](), [review]() ### AI overview The NRO NC shares the Recommended Draft RIR Governance Document, a redline comparison with the second draft, and a rationale report explaining the changes in version three. The revisions clarify recognition, audit and compliance, emergency continuity, derecognition, consultation, transparency, and amendment safeguards for Regional Internet Registry governance. ### Source excerpt The NRO NC has published the Recommended Draft RIR Governance Document, including a redline version and rationale document. ## Ten advances in mathematics and theoretical computer science DevFeed: [Ten advances in mathematics and theoretical computer science]() Original publisher: [Read original article]() Published: 2026-08-01T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Chat](), [Cryptography]() Tags: [ai](), [chatgpt](), [complexity](), [cost](), [cryptography](), [model](), [openai](), [publication](), [quantum](), [research](), [science]() ### AI overview OpenAI presents ten AI-assisted results on long-standing problems in mathematics and theoretical computer science. An internal Astra model produced solutions that humans prepared into manuscripts and that were formalized in Lean certificates. ### Source excerpt OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity. ## Scientific computing in the age of agentic AI DevFeed: [Scientific computing in the age of agentic AI]() Original publisher: [Read original article]() Published: 2026-07-28T17:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI-assisted coding](), [Developer Tools]() Tags: [agentic-ai](), [ai-agents](), [ai-coding](), [claude-code](), [codex](), [gpu](), [publication](), [research]() ### AI overview An exploratory field report examines eight life-science scientific-computing projects that use coding agents to maintain, optimize, migrate, and redesign research software. It reports faster development while emphasizing researchers' continuing responsibility for verification, quality, and long-term stewardship. ### Source excerpt A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond. ## Content Ingestion & Podcast Video Incident Report DevFeed: [Content Ingestion & Podcast Video Incident Report]() Original publisher: [Read original article]() Author: Spotify Engineering Published: 2026-07-20T16:24:48Z Content type: article Language: en Sources: [Spotify Engineering](), [Spotify Engineering Blog]() Topics: [incident](), [Transcodings](), [systems](), [Playback]() Tags: [analysis](), [batch](), [cost](), [engineering](), [incident](), [infrastructure](), [media](), [playback](), [publication](), [scale]() ### AI overview Spotify Engineering reports on a June 24 incident in which video transcoding infrastructure reached capacity, creating a queue backlog and delaying podcast video publication for several hours. The report identifies limited capacity headroom, a concurrent batch-processing job, and increased per-item processing costs as contributing factors, and describes a broader reliability program for the publishing pipeline. ### Source excerpt Over the past two months, podcast creators have experienced a series of reliability issues on Spotify. This... The post Content Ingestion & Podcast Video Incident Report appeared first on Spotify Engineering. ## Who's Running All Those Tiny RPKI Servers? DevFeed: [Who's Running All Those Tiny RPKI Servers?]() Original publisher: [Read original article]() Author: Ties Dirksen Published: 2026-07-20T07:57:23Z Content type: article Language: en Sources: [RIPE Labs]() Topics: [BGP](), [Routing (disambiguation)](), [networking](), [Server]() Tags: [bgp](), [infrastructure](), [internet](), [internet-infrastructure](), [publication](), [research](), [routing](), [rpki](), [servers]() ### AI overview This article investigates the independently operated RPKI publication servers that supplement the Regional Internet Registries and help secure BGP routing. It explains how RPKI and Route Origin Authorisations reduce the risk of accidental or malicious prefix hijacks. ### Source excerpt Who runs the hidden infrastructure behind secure Internet routing? An internship report from SIDN Labs looks beyond the RIRs at the independently operated RPKI publication servers helping to secure BGP. ## Towards passive heart health monitoring via smartphone camera DevFeed: [Towards passive heart health monitoring via smartphone camera]() Original publisher: [Read original article]() Published: 2026-06-04T19:47:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Monitoring](), [webcam](), [dataset](), [Deep learning](), [Google](), [Ground truth / benchmark quality]() Tags: [deep-learning](), [devices](), [google](), [health](), [health-bioscience](), [heart-rate-monitoring](), [human-computer-interaction-and-visualization](), [machine-intelligence](), [model](), [monitoring](), [publication](), [research](), [resource](), [smartphones]() ### AI overview Google Research presents PHRM, a research system that passively estimates heart rate and resting heart rate from facial video captured by a smartphone's front-facing camera during everyday use. The system applies deep learning to video recorded after face unlock events and reports accuracy comparable to electrocardiogram-derived ground truth and wearable trackers. The publication also releases a large, diverse smartphone-video dataset and the pre-trained PHRM-mini model for qualified researchers. ### Source excerpt Health & Bioscience ## Where the goblins came from DevFeed: [Where the goblins came from]() Original publisher: [Read original article]() Published: 2026-04-29T20:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [AI Models](), [ChatGPT]() Tags: [ai](), [analysis](), [chatgpt](), [customization](), [launch](), [models](), [production](), [publication](), [training]() ### AI overview The article investigates why GPT-5 models increasingly used goblin and gremlin metaphors. It traces the behavior to small training incentives associated with the Nerdy personality customization, describes its growth after GPT-5.1 and GPT-5.4, and reports the connection through production-traffic analysis. ### Source excerpt How goblin outputs spread in AI models: timeline, root cause, and fixes behind personality-driven quirks in GPT-5 behavior. ## Waiting for PostgreSQL 19 - Add support for EXCEPT TABLE in ALTER PUBLICATION. DevFeed: [Waiting for PostgreSQL 19 - Add support for EXCEPT TABLE in ALTER PUBLICATION.]() Original publisher: [Read original article]() Author: depesz Published: 2026-03-26T11:46:24Z Content type: article Language: en Sources: [select \* from depesz;]() Topics: [PostgreSQL](), [syntax]() Tags: [alter](), [commit](), [except](), [logical](), [pg19](), [postgresql](), [publication](), [replication](), [table](), [uncategorized](), [waiting]() ### AI overview This article discusses a PostgreSQL 19 patch adding EXCEPT TABLE support to ALTER PUBLICATION. The change allows modifying a publication's table exclusion list, though the example notes that specifying an exclusion for one publication replaced its previous exclusion list. ### Source excerpt On 20th of March 2026, Amit Kapila committed patch: Add support for EXCEPT TABLE in ALTER PUBLICATION. Following commit fd366065e0, which added EXCEPT TABLE support to CREATE PUBLICATION, this commit extends ALTER PUBLICATION to allow modifying the exclusion list. New Syntax: ALTER PUBLICATION name SET publication_all_object [, ... ] where publication_all_object is ... Continue reading "Waiting for PostgreSQL 19 - Add support for EXCEPT TABLE in ALTER PUBLICATION." ## Waiting for PostgreSQL 19 - Allow table exclusions in publications via EXCEPT TABLE. DevFeed: [Waiting for PostgreSQL 19 - Allow table exclusions in publications via EXCEPT TABLE.]() Original publisher: [Read original article]() Author: depesz Published: 2026-03-18T11:15:16Z Content type: article Language: en Sources: [select \* from depesz;]() Topics: [PostgreSQL](), [Replication](), [Databases]() Tags: [except](), [logical](), [new-feature](), [pg19](), [postgresql](), [publication](), [replication](), [uncategorized](), [waiting]() ### AI overview A PostgreSQL patch adds EXCEPT TABLE support to CREATE PUBLICATION ... FOR ALL TABLES, allowing selected tables to be excluded from logical replication. The article explains the existing publication options and notes that altering an existing FOR ALL TABLES publication to add exclusions is not currently supported. ### Source excerpt On 4th of March 2026, Amit Kapila committed patch: Allow table exclusions in publications via EXCEPT TABLE. Extend CREATE PUBLICATION ... FOR ALL TABLES to support the EXCEPT TABLE syntax. This allows one or more tables to be excluded. The publisher will not send the data of excluded tables to the subscriber. To ... Continue reading "Waiting for PostgreSQL 19 - Allow table exclusions in publications via EXCEPT TABLE." ## GPT-5.4 Thinking System Card DevFeed: [GPT-5.4 Thinking System Card]() Original publisher: [Read original article]() Published: 2026-03-05T10:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Cybersecurity](), [codex](), [ChatGPT](), [API]() Tags: [api](), [blog](), [chatgpt](), [codex](), [cybersecurity](), [gpt](), [model](), [publication](), [reasoning](), [safety]() ### AI overview The GPT-5.4 Thinking System Card describes the model's reasoning-model status, safety mitigations, and cyber-safety approach. It states that GPT-5.4 Thinking is the first general-purpose model in the series with mitigations for High capability in Cybersecurity, building on approaches used for GPT-5.3 Codex in ChatGPT and the API. ### Source excerpt GPT-5.4 Thinking is the latest reasoning model in the GPT-5 series, and explained in our blog. The comprehensive safety mitigation approach for this model is similar to previous models in this series, but 5.4 Thinking is the first general purpose model to have implemented mitigations for High capability in Cybersecurity. The approach to cyber safety builds on the latest approaches implemented for GPT-5.3 Codex, in ChatGPT and the API. ## GPT-5.2 derives a new result in theoretical physics DevFeed: [GPT-5.2 derives a new result in theoretical physics]() Original publisher: [Read original article]() Published: 2026-02-13T11:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [AI Chat]() Tags: [gpt](), [openai](), [particle-physics](), [physics](), [publication](), [quantum-mechanics](), [research]() ### AI overview GPT-5.2 proposed a formula for a gluon scattering amplitude in a specific half-collinear momentum regime. The article says the result was later proved and verified in a new preprint. ### Source excerpt A new preprint shows GPT-5.2 proposing a new formula for a gluon amplitude, later formally proved and verified by OpenAI and academic collaborators. ## GPT-5.3-Codex System Card DevFeed: [GPT-5.3-Codex System Card]() Original publisher: [Read original article]() Published: 2026-02-05T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [coding](), [agentic-coding](), [codex](), [Cybersecurity](), [Artificial Intelligence](), [Security & Privacy]() Tags: [agentic-coding](), [ai](), [codex](), [coding](), [cybersecurity](), [publication](), [research](), [safety](), [tool]() ### AI overview GPT-5.3-Codex is presented as an agentic coding model that combines coding performance with reasoning and professional knowledge for long-running research, tool-use, and complex execution tasks. The system card highlights its cybersecurity safeguards and precautionary treatment as a potentially high-capability model in that domain. ### Source excerpt GPT-5.3-Codex is the most capable agentic coding model to date, combining the frontier coding performance of GPT-5.2-Codex with the reasoning and professional knowledge capabilities of GPT-5.2. ## Highlights of Booking.com's publication in 2025 DevFeed: [Highlights of Booking.com's publication in 2025]() Original publisher: [Read original article]() Author: Yang Yang Published: 2026-01-20T09:20:13Z Content type: article Language: en Sources: [Booking.com Data Science]() Topics: [Machine learning](), [Artificial Intelligence](), [Natural language processing](), [Language models](), [Fine-tuning](), [recommendation systems](), [Optimization](), [Compression](), [Inference]() Tags: [2025](), [ai](), [booking](), [compression](), [data-science](), [fine-tuning](), [inference](), [language-models](), [latency](), [neurips](), [nlp](), [optimization](), [publication]() ### AI overview Booking.com highlights its 2025 machine learning publications, including papers accepted at major conferences and research on applying Medusa speculative decoding and knowledge distillation to travel-related language model tasks. ### Source excerpt At Booking.com, our mission is to make experiencing the world easier for everyone. We are committed to investing in cutting-edge technology that removes the barriers to travel, enabling seamless connections between millions of travelers and unforgettable experiences, diverse transportation options, and exceptional accommodations. The intersection of academic rigor and industry application is where true transformation happens. In 2025, our ML community bridged this gap more effectively than ever, contributing vital new insights to the global scientific community. With 8 out of 13 papers accepted at premier conferences -- including NeurIPS, SIGIR, KDD, and ACL -- our colleagues have demonstrated world-class expertise in AI, NLP, recommendation systems, uplift modeling, etc. These aren't just theoretical wins; they are the engines of innovation that allow us to push technological boundaries, ensuring our platform remains the most sophisticated and intuitive guide in the ever-evolving travel industry. Below, we highlight some of the key achievements and insights from these groundbreaking works. Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications By Daniel Zagyva, Emmanouil Stergiadis, Laurens Van Der Maas, Aleksandra Dokic, Eran Fainman, Ilya Gusev, Moran Beladev Best paper award of 2025 ACL Industry Track https://aclanthology.org/2025.acl-industry.48/ In high-stakes industrial NLP applications, balancing generation quality with speed and efficiency presents significant challenges. We address them by investigating two complementary optimization approaches: Medusa for speculative decoding and knowledge distillation (KD) for model compression. We demonstrate the practical application of these techniques in real-world travel domain tasks, including trip planning, smart filters, and generating accommodation descriptions. We introduce modifications to the Medusa implementation, starting with base pre-trained models ## Addendum to GPT-5.2 System Card: GPT-5.2-Codex DevFeed: [Addendum to GPT-5.2 System Card: GPT-5.2-Codex]() Original publisher: [Read original article]() Published: 2025-12-18T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [agentic-coding](), [coding](), [Software Engineering](), [codex](), [Cybersecurity](), [Windows](), [Artificial Intelligence]() Tags: [agentic](), [agentic-coding](), [codex](), [coding](), [context](), [cybersecurity](), [engineering](), [improvements](), [model](), [performance](), [project](), [publication](), [scale](), [software](), [software-engineering](), [windows]() ### AI overview GPT-5.2-Codex is an agentic coding model optimized for complex software engineering. The system card describes improvements in long-horizon work, project-scale refactoring and migration tasks, Windows performance, and cybersecurity capabilities, along with model- and product-level safety measures. ### Source excerpt GPT-5.2-Codex is our most advanced agentic coding model yet for complex, real-world software engineering. A version of GPT-5.2 optimized for agentic coding in Codex, it includes further improvements on long-horizon work through context compaction, stronger performance on project-scale tasks like refactors and migrations, and improved performance in Windows environments--and significantly stronger cybersecurity capabilities. ## Developers can now submit apps to ChatGPT DevFeed: [Developers can now submit apps to ChatGPT]() Original publisher: [Read original article]() Published: 2025-12-17T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [App](), [SDKs](), [OpenAI](), [GitHub](), [MCP](), [Open Source]() Tags: [apps](), [chatgpt](), [developer-platform](), [developers](), [mcp](), [open-source](), [openai](), [product](), [publication](), [review](), [sdk]() ### AI overview OpenAI announces that developers can submit apps for review and publication in ChatGPT. A new in-product app directory will let users browse, search for, and access published apps, while the beta Apps SDK, documentation, examples, and guidelines support development of chat-native experiences. ### Source excerpt Developers can now submit apps for review and publication in ChatGPT, with approved apps appearing in a new in-product directory for easy discovery. Updated tools, guidelines, and the Apps SDK help developers build powerful chat-native experiences that bring real-world actions into ChatGPT. ## 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. ## Update to GPT-5 System Card: GPT-5.2 DevFeed: [Update to GPT-5 System Card: GPT-5.2]() Original publisher: [Read original article]() Published: 2025-12-11T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [AI Chat]() Tags: [datasets](), [gpt](), [model](), [models](), [openai](), [publication](), [safety](), [series](), [update]() ### AI overview An update to the GPT-5 System Card covers the GPT-5.2 model family, including GPT-5.2 Instant and GPT-5.2 Thinking. Its safety mitigation approach is largely the same as that in the GPT-5 and GPT-5.1 System Cards. ### Source excerpt GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI's other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate. ## GPT-5.1-Codex-Max System Card DevFeed: [GPT-5.1-Codex-Max System Card]() Original publisher: [Read original article]() Published: 2025-11-19T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [agentic-coding](), [Artificial Intelligence](), [coding](), [computer-use](), [Cybersecurity](), [Software Engineering](), [Code review](), [Front end]() Tags: [agent](), [agentic](), [agentic-coding](), [ai](), [code](), [codex](), [computer-use](), [cybersecurity](), [engineering](), [gpt](), [model](), [publication](), [software-engineering]() ### AI overview The GPT-5.1-Codex-Max System Card describes a frontier agentic coding model trained on software engineering and other agentic tasks. It covers multi-context-window operation through compaction, safety training, prompt-injection mitigations, agent sandboxing, configurable network access, and evaluations of cybersecurity, biology, and AI self-improvement capabilities. ### Source excerpt This system card outlines the comprehensive safety measures implemented for GPT-5.1-CodexMax. It details both model-level mitigations, such as specialized safety training for harmful tasks and prompt injections, and product-level mitigations like agent sandboxing and configurable network access. ## Automated Package-Publication Incident IndonesianFoods in the NPM Ecosystem Linked to Crypto Reward-Farming Scam DevFeed: [Automated Package-Publication Incident IndonesianFoods in the NPM Ecosystem Linked to Crypto Reward-Farming Scam]() Original publisher: [Read original article]() Author: Stephen Thoemmes Published: 2025-11-13T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [incident](), [Boilerplate]() Tags: [automation](), [awareness](), [blog](), [code-security](), [container-security](), [cryptocurrency](), [developer](), [ecosystem](), [incident](), [next-js](), [npm-packages](), [open-source-security](), [publication](), [scam](), [security](), [snyk-code](), [snyk-container](), [snyk-iac](), [snyk-open-source](), [supply-chain-security]() ### AI overview The article examines a large-scale surge of similarly structured NPM package publications linked to a dormant automation script associated with a cryptocurrency reward-farming scheme. It reports no verified active exploit and says the packages currently pose minimal risk, while emphasizing dependency hygiene and registry safeguards. ### Source excerpt In November 2025, a large-scale surge of package publications on the NPM registry with similar structures and naming patterns was discovered. Understand the details of the incident. ## GPT-5.1 Instant and GPT-5.1 Thinking System Card Addendum DevFeed: [GPT-5.1 Instant and GPT-5.1 Thinking System Card Addendum]() Original publisher: [Read original article]() Published: 2025-11-12T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [Chain-of-thought]() Tags: [chatgpt](), [gpt](), [health](), [mental-health](), [model](), [models](), [publication](), [reasoning](), [safety]() ### AI overview This system card addendum presents updated safety metrics for GPT-5.1 Instant and GPT-5.1 Thinking. It expands pre-deployment evaluations to cover mental health concerns and emotional reliance on ChatGPT, while describing the models' adaptive reasoning and safety mitigations. ### Source excerpt This GPT-5 system card addendum provides updated safety metrics for GPT-5.1 Instant and Thinking, including new evaluations for mental health and emotional reliance. ## How Does Dotnet Publish Work DevFeed: [How Does Dotnet Publish Work]() Original publisher: [Read original article]() Author: John Caleb Published: 2025-08-24T00:00:00Z Content type: tutorial Language: en Sources: [Baeldung - Ops]() Topics: [Deployment](), [.NET](), [Command-line interface](), [NuGet](), [trimming](), [App]() Tags: [applications](), [build](), [cli](), [configuration](), [deployment](), [deployment-tools](), [dotnet](), [how-to](), [net](), [nuget](), [publication](), [trimming](), [tutorial]() ### AI overview This tutorial explains how the .NET dotnet publish command prepares applications for distribution by building the project, resolving dependencies, and producing deployable files. It covers deployment targets, common publishing options, framework-dependent and self-contained deployments, and optimizations such as trimming and single-file publishing. ### Source excerpt Explore what dotnet publish does, how it works behind the scenes, and how to use it efficiently in various deployment circumstances. Related Stories Configuring Environment Variables in Ansible Introduction to GoCD Using a Package Manager in GitHub Actions ## Change Data Capture with Neon and Materialize DevFeed: [Change Data Capture with Neon and Materialize]() Original publisher: [Read original article]() Author: Marta Paes Published: 2023-12-21T12:23:12Z Content type: tutorial Language: en Sources: [Blog -- Neon Docs]() Topics: [Replication](), [PostgreSQL](), [real-time](), [SQL](), [Streaming](), [Databases]() Tags: [community](), [how-to](), [pipeline](), [postgresql](), [publication](), [real-time](), [replication](), [sql](), [streaming]() ### AI overview This tutorial explains how to use Materialize with Neon logical replication to build a real-time Change Data Capture pipeline. It describes transforming replicated PostgreSQL data with SQL for fresh, consistent operational results without additional infrastructure such as Debezium. ### Source excerpt Now that Neon supports logical replication, your head might be filled with questions about how to turn this new feature into interactive data apps, better customer experiences, and other use cases ripe for fresh data. Do you need to rethink your architecture? Does your team need... [Next page]()