# integrity Published articles for integrity. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Libreboot Build System Audit 3 DevFeed: [Libreboot Build System Audit 3]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: article Language: en Sources: [News about Libreboot releases and development]() Topics: [audit](), [maintenance](), [Error Handling](), [Shell]() Tags: [audit](), [audits](), [bios](), [bug](), [build-system](), [canoeboot](), [complexity](), [coreboot](), [efficiency](), [error-handling](), [free-software](), [integrity](), [libre](), [libreboot](), [opensource](), [safety](), [threading](), [uefi]() ### AI overview This article reports on Libreboot Build System Audit 3, focusing on the lbmk build system. It describes improved error handling, bug fixes, efficiency improvements, reduced complexity, stronger vendor-file integrity checks, and broader use of multithreading. The audit reduced the build system from 2,644 to 1,744 shell-script source lines compared with the previous audit, without reducing functionality. ### Source excerpt Article: Libreboot Build System Audit 3 Web link: https://libreboot.org/news/audit3.html ## Testing Trust in Prediction Markets | Part 1 DevFeed: [Testing Trust in Prediction Markets | Part 1]() Original publisher: [Read original article]() Author: David Phillips Published: 2026-09-03T13:15:00Z Content type: opinion Language: en Sources: [Sift Science]() Topics: [integrity]() Tags: [data-insights](), [fairness](), [fraud](), [integrity](), [prediction-markets](), [prediction-markets-legislation](), [trust]() ### AI overview Part 1 examines how reported insider trading, irregularities, settlement issues, and operational design choices in prediction markets can undermine claims about fairness, market integrity, collective intelligence, and truth. It argues that gaps between provider claims and market realities can erode public trust and invite political or regulatory responses. ### Source excerpt This April, U.S. federal prosecutors charged an Army sergeant with using sensitive classified information to bet on Polymarket that U.S. forces would enter Venezuela and remove Maduro from power. About the same time, Kalshi disclosed that it had fined and suspended three congressional candidates for five years after they traded on prediction markets tied to [...] The post Testing Trust in Prediction Markets | Part 1 appeared first on Sift. ## Testing Trust in Prediction Markets | Part 2 DevFeed: [Testing Trust in Prediction Markets | Part 2]() Original publisher: [Read original article]() Author: David Phillips Published: 2026-09-10T17:44:43Z Content type: opinion Language: en Sources: [Sift Science]() Topics: [integrity](), [data]() Tags: [analysis](), [comparison](), [data-insights](), [digital-trust](), [fraud](), [integrity](), [prediction-markets](), [trust]() ### AI overview Part 2 examines whether prediction markets can reliably produce trustworthy information. It compares Kalshi's centralized contract resolution with Polymarket's decentralized, oracle-based model and discusses risks involving contract interpretation, voting power, concentrated profits, and market integrity. ### Source excerpt Missed Part 1? Read it here. Prediction markets make a bold claim that they are engines of truth discovery. Proponents argue that by aggregating collective judgment, prediction markets generate forecasts that are far more valuable than traditional gambling or sports betting. While that claim has merit, a prediction market's output is not merely a well [...] The post Testing Trust in Prediction Markets | Part 2 appeared first on Sift. ## Rootless Jailbreak Detection: Updating the Signals, Not the Claim DevFeed: [Rootless Jailbreak Detection: Updating the Signals, Not the Claim]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-09-01T00:00:00Z Content type: release Language: en Sources: [CodeName One]() Topics: [Jailbreak](), [integrity](), [iOS](), [Filesystems](), [mount](), [Processes]() Tags: [filesystem](), [images](), [integrity](), [ios](), [jailbreak](), [mount](), [process]() ### AI overview Codename One updated its iOS integrity checks to detect current rootless jailbreak layouts. The changes cross-check potentially hooked APIs, inspect mounts and loaded images, and rerun detection when the application returns to the foreground. ### Source excerpt Codename One's iOS integrity checks now detect current rootless jailbreak layouts, cross-check hooked APIs, inspect mounts and loaded images, and rerun on foreground entry. ## Foreign keys are not overhead, and the thing you measured was a missing index DevFeed: [Foreign keys are not overhead, and the thing you measured was a missing index]() Original publisher: [Read original article]() Author: hello@ankit-rana.com Published: 2026-08-30T00:00:00Z Content type: opinion Language: en Sources: [Ankit Rana | Mechanical Sympathy]() Topics: [Database](), [integrity]() Tags: [database](), [database-performance](), [foreign-keys](), [indexing](), [integrity](), [overhead](), [postgres](), [postgresql](), [referential-integrity](), [schema-design]() ### AI overview The article explains that the measured cost of a slow parent delete is usually caused by a missing index on the child table's foreign-key column, not by foreign-key checking itself. It argues that dropping the constraint merely moves referential-integrity enforcement into application code and can allow orphaned records. ### Source excerpt A foreign key check is an index lookup against a primary key that is almost certainly already in cache, which is close to the cheapest thing a database does. The expensive case people measure is a parent delete with no index on the child's referencing column, which forces a full scan of the child table per deleted row, and that is a missing index rather than a cost of the constraint. Dropping the key does not remove the work, it moves the integrity guarantee into application code where nothing reports when it stops holding. ## Keleusma Research Spike: What Happens When Error Correction Meets a Signature DevFeed: [Keleusma Research Spike: What Happens When Error Correction Meets a Signature]() Original publisher: [Read original article]() Author: Brendan Sechter Published: 2026-08-10T09:00:00Z Content type: article Language: en Sources: [Brendan A R Sechter's Development Blog]() Topics: [Security, Privacy and Abuse Prevention](), [Cryptography](), [Code](), [Compiler]() Tags: [bytecode](), [compiler](), [compilers](), [cryptographic](), [engineering](), [integrity](), [research](), [security](), [test](), [verification]() ### AI overview This case study examines how combining error correction with cryptographic signatures can create an unsafe verification order. Exhaustive analysis of bit errors shows that some damaged inputs are incorrectly repaired or reported as clean, so a clean correction result does not establish integrity. ### Source excerpt A file carries an error-correcting code so that a flipped bit can be repaired, and a cryptographic signature so that a changed byte is refused. Both are ordinary. Putting them in the same file forces a choice that neither feature announces, and one of the two answers is sound only under an assumption that the error-correcting code exists because it is false. The uncomfortable part is that the two answers are indistinguishable on every input anybody tests. An undamaged file behaves identically under both. They diverge only on damaged input, and damaged input is the case the error-correcting code exists for and the case no test suite exercises, because producing it requires deliberately corrupting your own artefact. Enumerating the fault space of a single 64-bit word exhaustively, rather than sampling it, gives four numbers that decide the design. The space is small enough to enumerate because the number of ways to flip $w$ bits out of 64 is a binomial coefficient, and for $w \le 4$ it stays under a million. \[\binom{64}{1} = 64, \quad \binom{64}{2} = 2{,}016, \quad \binom{64}{3} = 41{,}664, \quad \binom{64}{4} = 635{,}376\] flipped bits patterns repaired exactly wrongly "repaired" invisible 1 64 64 0 0 2 2,016 0 0 0 3 41,664 0 23,364 (56.08%) 0 4 635,376 0 0 5,133 (0.81%) Three flipped bits are reported as a successful repair 56.08 percent of the time, and the repair is wrong every time it happens. Four flipped bits are, 5,133 times, completely invisible, because the code reports the word as clean when the error pattern is itself a valid codeword. The consequence is one sentence, and everything else in this article is either its derivation or its implications. The corrector is not an authority on whether it corrected, and a clean report from it is not evidence of integrity. What this is a case study of The setting is the bytecode format for Keleusma, a language whose value proposition is that a program's worst-case time and memory can be proven before it runs, and wh ## ChainDrop npm Worm: Why SLSA Provenance Wasn't Enough DevFeed: [ChainDrop npm Worm: Why SLSA Provenance Wasn't Enough]() Original publisher: [Read original article]() Author: Harness Team Published: 2026-08-10T00:00:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [ChainDrop](), [npm](), [supply-chain-security](), [Malware](), [npm packages](), [GitHub Actions](), [GitHub]() Tags: [chaindrop](), [ci](), [ci-cd](), [github](), [github-actions](), [integrity](), [least-privilege](), [malware](), [npm](), [npm-worm](), [openid-connect](), [provenance](), [security](), [slsa](), [software-supply-chain-security](), [worm]() ### AI overview The ChainDrop npm worm compromised hundreds of packages while retaining valid SLSA provenance, demonstrating that build attestations do not guarantee source integrity. The article explains the worm's propagation, credential theft, persistence mechanisms, and recommended defenses, including source governance, dependency controls, least-privilege identities, policy gates, and runtime evidence. ### Source excerpt ChainDrop poisoned hundreds of npm packages while retaining valid provenance. Learn why signed builds need source governance, policy gates, and runtime evidence | Blog ## DORA Compliance for AI Agents: Database Requirements Before Deployment DevFeed: [DORA Compliance for AI Agents: Database Requirements Before Deployment]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-08-07T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Databases](), [Artificial Intelligence](), [Resilience](), [audit](), [consistency](), [integrity](), [Transactions]() Tags: [ai-agents](), [audit](), [compliance](), [consistency](), [database](), [eu](), [gdpr](), [integrity](), [resilience](), [transactions]() ### AI overview This article explains database capabilities needed by financial AI agents operating under DORA, the EU AI Act, and GDPR. It focuses on auditability, agent identity attribution, strong read consistency, idempotency, rollback and compensating transactions, and data residency. It argues that these database properties help organizations demonstrate operational resilience, traceability, and transaction integrity before deployment. ### Source excerpt Financial AI agents operating under DORA, the EU AI Act, and GDPR need infrastructure that supports operational resilience, traceability, and reliable transaction processing. ## Migrating a Large Flow Monorepo to TypeScript DevFeed: [Migrating a Large Flow Monorepo to TypeScript]() Original publisher: [Read original article]() Author: Shawn Walton, Software Engineer Published: 2026-08-04T00:00:00Z Content type: article Language: en Sources: [Yelp]() Topics: [monorepo](), [TypeScript](), [migration](), [repo](), [Code]() Tags: [coverage](), [integrity](), [migration](), [monorepo](), [open-source](), [rewrite](), [typescript]() ### AI overview Yelp describes its gradual migration of a large Flow monorepo to TypeScript. The team chose a package-by-package approach to preserve type-checking trust and type safety while Flow and TypeScript coexisted in production, using open-source conversion tooling, custom codemods, and manual fixes. ### Source excerpt In early 2017, Webcore selected Flow as Yelp's next-generation typechecker over TypeScript. At the time there was no clear frontrunner. Flow had better support for React, better performance, and a respectable repository of types for NPM packages in flow-typed. However, a few years later the landscape had shifted, and it became clear that TypeScript was emerging as the stronger choice. TypeScript's DefinitelyTyped repo had thousands more packages than flow-typed, and many more packages shipped with built-in TypeScript headers. TypeScript also proved to be more stable over time, and limited uptake in the wider JS community made finding tools and documentation... ## Nix 2.35.0 released DevFeed: [Nix 2.35.0 released]() Original publisher: [Read original article]() Author: lisanna Published: 2026-07-13T20:36:40Z Content type: release Language: en Sources: [Announcements - NixOS Discourse]() Topics: [Nix](), [releases](), [content addressed store](), [Security](), [hashing](), [integrity]() Tags: [bugfixes](), [content-addressed-store](), [hashing](), [improvements](), [integrity](), [new-features](), [nix-releases](), [releases](), [security]() ### AI overview Nix 2.35.0 is released with new features, bug fixes, performance improvements, and a security fix for recursive-nix. A highlighted change makes source copying to the Nix store more lazy, reducing unnecessary work for typical flake evaluations while preserving the evaluator's existing behavior. ### Source excerpt On behalf of the Nix team, I am pleased to finally announce the release of Nix 2.35.0. This release contains a good number of new features, bugfixes, and performance improvements, and is available at releases.nixos.org. This release also fixes a security issue with recursive-nix: https://github.com/NixOS/nix/security/advisories/GHSA-6h4g-g5j9-fm5f Release Notes Highlights Sources are copied to the store more lazily #3121 #15711 #15920 Historically, flakes source trees have been eagerly fetched to and evaluated from the Nix store to ensure deterministic and hermetic evaluation, even if the resulting store object is not used as a derivation input. This made the implementation simpler, yet made flakes unusable in large repositories and performed unnecessary writes to the store on each change to the source tree. Since Nix 2.32, all I/O (excluding path: and hg+:-style inputs) for reading sources during evaluation has been funneled to their original filesystem location (or to the ~/.cache/nix/tarball-cache-v2 bare git repository for tarball-based inputs). However, the source tree was still fetched to the store - primarily for computing the resulting content-addressed store path. In most cases, (such as importing the nixpkgs package set) this is not necessary. Touching (and hashing the NAR serialisation of) the whole source tree is unavoidable, since: In case of flake inputs, narHash integrity must be checked eagerly. The outPath attribute of a flake must be known in advance, and for backwards compatibility must be a content-addressed store path string with constant string context representing the flake source tree. Even within the constraints imposed by backwards compatibility requirements, there are several improvements that are achievable. To reduce the number of copies performed, Nix now hashes the input without copying first, assuming that the .outPath will not end up in a derivation attribute and thus would never have to be actually fetched to the store. This comes a ## Mobile App Security in the Age of SoftPOS | Guardsquare DevFeed: [Mobile App Security in the Age of SoftPOS | Guardsquare]() Original publisher: [Read original article]() Author: Guardsquare Published: 2026-07-07T11:42:02Z Content type: article Language: en Sources: [Guardsquare Blog]() Topics: [Mobile](), [Mobile Security](), [Security](), [App](), [API](), [Exploit](), [SDKs](), [Malware]() Tags: [android](), [api](), [compliance](), [credentials](), [devices](), [exploit](), [financial-services](), [integrity](), [ios](), [malware](), [mobile](), [payment](), [payments](), [pos](), [protection](), [sdks](), [security](), [smartphone](), [thought-leadership]() ### AI overview This article examines the security implications of SoftPOS, which turns smartphones into card-present payment terminals. It explains that moving payment functions to mobile devices shifts responsibility to the device, operating system, application integrity, APIs, and runtime environment, and discusses threats including app tampering, reverse engineering, API abuse, credential theft, malware, and bypassed environment checks. ### Source excerpt As retailers look for faster, more flexible ways to accept payments, SoftPOS is becoming a cornerstone of modern payment strategies. It's expected that by 2027, more than 34.5 million merchants will accept payments through SoftPOS technology. The ability to turn any smartphone into a card-present terminal reduces hardware costs, simplifies onboarding, and supports new use cases like curbside, pop-up stores, and in-aisle checkout. ## The fuel of the future is already here: Why TRISO matters DevFeed: [The fuel of the future is already here: Why TRISO matters]() Original publisher: [Read original article]() Author: Katy Huff Published: 2026-06-24T19:57:09Z Content type: article Language: en Sources: [Amazon Science homepage]() Topics: [AI Infrastructure](), [amazon](), [cloud-computing]() Tags: [advanced-nuclear-reactors](), [advanced-reactor-fuel-fabrication](), [ai-infrastructure](), [amazon](), [amazon-nuclear-energy](), [clean-energy-data-centers](), [cloud-computing](), [decarbonization](), [durability](), [energy](), [haleu](), [integrity](), [modular-nuclear-reactors](), [nuclear-energy-for-ai](), [physical-science](), [renewable-energy](), [resilience](), [safety](), [science](), [sustainability](), [triso-fuel](), [triso-particles](), [x-energy-xe-100]() ### AI overview Amazon explains how TRISO nuclear fuel particles use layered carbon and ceramic coatings to contain radioactive byproducts and withstand extreme temperatures. The article connects the technology to rising energy demands from AI infrastructure and cloud computing, citing testing that found no detectable failures at 1600°C for 300 hours. ### Source excerpt Millimeter-scale particles of nuclear-reactor fuel are encased in four layers of different materials that act as a "miniature containment system". ## What Is Software, and Will LLMs Replace It? DevFeed: [What Is Software, and Will LLMs Replace It?]() Original publisher: [Read original article]() Author: Federico Tomassetti Published: 2026-06-23T08:56:06Z Content type: opinion Language: en Sources: [Federico Tomassetti]() Topics: [Large Language Model](), [Software](), [data](), [integrity](), [Software as a service]() Tags: [ai](), [business](), [chatbots](), [consistency](), [data](), [future-of-ai](), [future-of-software](), [integrity](), [interfaces](), [language-engineering](), [llms](), [mcp](), [opinion](), [patterns](), [reflections](), [saas](), [software](), [software-development](), [sql](), [structure](), [visualization]() ### AI overview The article argues that large language models are unlikely to replace software. Instead, they may provide more flexible interfaces while software's underlying structures--organized data, schemas, constraints, consistency rules, visualizations, and guided processes--remain essential. ### Source excerpt Software isn't being replaced by LLMs, it's being fronted by them, with the deterministic core (schemas, constraints, processes) staying as essential as ever. The post What Is Software, and Will LLMs Replace It? appeared first on Federico Tomassetti. ## Coding Challenge #120 - md5sum DevFeed: [Coding Challenge #120 - md5sum]() Original publisher: [Read original article]() Author: John Crickett Published: 2026-05-16T08:16:11Z Content type: tutorial Language: en Sources: [Coding Challenges]() Topics: [Code Challenge](), [Command-line interface](), [hashing](), [integrity](), [Programming](), [Security]() Tags: [algorithm](), [code](), [coding](), [command-line](), [integrity](), [security](), [support]() ### AI overview A coding challenge guides readers through building an md5sum command-line utility. One track uses a standard or third-party library for hashing, while another implements MD5 from scratch using RFC 1321, covering file handling, check mode, message padding, the Merkle-Damgård construction, and the compression function. ### Source excerpt This challenge is to build your own md5sum. ## Why Database Resilience Is Foundational for AI Workloads DevFeed: [Why Database Resilience Is Foundational for AI Workloads]() Original publisher: [Read original article]() Author: David Weiss Published: 2026-04-30T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Database](), [Resilience](), [systems](), [data](), [Availability](), [consistency](), [integrity](), [Replication]() Tags: [availability](), [consistency](), [data-infrastructure](), [database](), [infrastructure](), [integrity](), [replication](), [resilience](), [systems]() ### AI overview The article explains why resilient databases are important when AI systems write durable state into systems of record. It focuses on preserving correctness, availability, and durability under failure, scale, and geographic distribution, while identifying consistency, replication, and predictable behavior during partial failures as key requirements. ### Source excerpt As AI systems become embedded in core business workflows, they increasingly interact directly with systems of record, turning model outputs into durable state changes. ## How we standardized MariaDB in our Integration Server DevFeed: [How we standardized MariaDB in our Integration Server]() Original publisher: [Read original article]() Author: Eloy Gonzalez Published: 2026-03-26T18:59:43Z Content type: article Language: en Sources: [Wealthfront]() Topics: [MariaDB](), [Testing](), [migration](), [Databases](), [Jenkins](), [CI/CD](), [Back end]() Tags: [architecture](), [backend](), [careers](), [ci-cd](), [data](), [engineering-culture](), [hibernate](), [infrastructure](), [integrity](), [jenkins](), [locking](), [migration](), [modularization](), [production](), [sql](), [testing](), [tests](), [wealthfront-engineering]() ### AI overview Wealthfront describes migrating its Integration Server from HSQLDB to MariaDB to improve parity with production. The article covers the migration strategy, architectural hurdles, and benefits for data integrity, concurrency, locking, and production-like testing. ### Source excerpt Engineering at Wealthfront is centered on the idea that code should be written to facilitate testing, not the other way around. Without a staging environment to fall back on, we maximize confidence through a sophisticated, multi-layered testing strategy. While unit tests provide our most rigorous line of defense, our Integration Server is the workhorse that... Read more ## Different Types of Database Management Systems DevFeed: [Different Types of Database Management Systems]() Original publisher: [Read original article]() Author: Sumit Malviya Published: 2026-03-20T10:30:23Z Content type: article Language: en Sources: [Backend Archives | Talent500 blog]() Topics: [Databases](), [Database](), [data](), [Software](), [Scalability](), [NoSQL](), [MongoDB](), [MySQL](), [Oracle Database](), [sql-server]() Tags: [applications](), [backend](), [backup](), [big-data-and-dbms](), [choosing-the-right-dbms-for-your-needs](), [cloud-based-dbms](), [cloud-native](), [comparison-of-dbms-types](), [conclusion](), [consistency](), [data](), [database](), [definition-and-importance-of-dbms](), [different-types-of-database-management-systems](), [emerging-types-in-database-management-systems](), [evolution](), [evolution-of-database-management-systems](), [examples](), [hierarchical-database-management-systems](), [industries](), [integrity](), [management](), [mysql](), [network-database-management-systems](), [nosql](), [nosql-databases](), [object-oriented-database-management-systems-oodbms](), [recovery](), [relational-database-management-systems-rdbms](), [relational-databases](), [scalability](), [systems](), [types](), [types-of-database-management-systems]() ### AI overview This article explains what database management systems are, why they matter, how they support storage, queries, security, integrity, backup, and recovery, and how major DBMS categories have evolved. It also introduces examples including MySQL, Oracle Database, Microsoft SQL Server, and MongoDB. ### Source excerpt Data is one of the most valuable assets for organizations in this AI-powered digital era. From banking systems and e-commerce [...] The post Different Types of Database Management Systems appeared first on Talent500 blog. ## Inspecting the Source of Go Modules DevFeed: [Inspecting the Source of Go Modules]() Original publisher: [Read original article]() Author: Filippo Valsorda Published: 2026-02-12T13:48:03Z Content type: article Language: en Sources: [Filippo Valsorda]() Topics: [Go Language](), [modules](), [integrity](), [Security](), [GitHub](), [Code]() Tags: [cryptographic](), [github](), [go](), [integrity](), [modules](), [security](), [tooling](), [transparency-log](), [verification](), [verify]() ### AI overview The article explains how the Go Checksum Database verifies module source and helps protect against altered tags and targeted versions. It argues that viewing code directly on GitHub can bypass this verification, using a malicious BoltDB module incident as an example, and recommends fetching source with Go tooling for review. ### Source excerpt Code hosts like GitHub don't necessarily show the correct source of Go modules. pkg.geomys.dev is a new convenient viewer for module source. ## Disabling partial results in Elasticsearch DevFeed: [Disabling partial results in Elasticsearch]() Original publisher: [Read original article]() Published: 2026-01-02T00:00:00Z Content type: opinion Language: en Sources: [Gaurav Sarma's Blog]() Topics: [elasticsearch](), [distributed-systems](), [incident]() Tags: [distributed-systems](), [elasticsearch](), [incident](), [integrity](), [monitor](), [retry](), [search]() ### AI overview This commentary explains how disabling Elasticsearch partial search results can cause more query failures and longer-running queries in distributed workloads. It recommends monitoring returned row counts and shard failures, then retrying when appropriate, while reserving the setting for cases where data integrity cannot be compromised. ### Source excerpt . [Disabling allow_partial_search_results in Elasticsearch](disabling-allow-partial-results-in-elasticsearch-cover... ## New functions you might have missed in 2025 DevFeed: [New functions you might have missed in 2025]() Original publisher: [Read original article]() Author: Mark Needham Published: 2025-12-23T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Code](), [Query (disambiguation)](), [data](), [Authentication]() Tags: [2025](), [blog](), [blog-post](), [clickhouse](), [code](), [cryptographic](), [data](), [integrity]() ### AI overview This article highlights selected ClickHouse functions introduced in 2025, including functions for pattern matching in map values, calculating geometry perimeters, and generating HMAC signatures. It also shows queries for counting and listing newly introduced functions. ### Source excerpt Over 100 functions were added to ClickHouse in 2025. These were some of my favorites. ## Hardware-Attested Nix Builds DevFeed: [Hardware-Attested Nix Builds]() Original publisher: [Read original article]() Published: 2025-12-17T00:00:00Z Content type: article Language: en Sources: [Garnix Blog]() Topics: [Nix](), [integrity](), [Hardware]() Tags: [builds](), [hardware](), [integrity]() ### AI overview The article concerns hardware-attested Nix builds and presents them as a way to increase confidence in the integrity of Nix artifacts. ### Source excerpt More confidence in the integrity of your Nix artifacts. ## Strengthening your Software Supply Chain DevFeed: [Strengthening your Software Supply Chain]() Original publisher: [Read original article]() Author: Andres Almiray Published: 2025-12-12T03:03:02Z Content type: article Language: en Sources: [Java Advent Calendar]() Topics: [supply-chain-security](), [reproducible builds](), [Java](), [Software](), [Maven]() Tags: [2025](), [build-tools](), [dependencies](), [devops](), [integrity](), [java](), [reproducible-builds](), [security](), [software-supply-chain](), [supply-chain]() ### AI overview This article explains how to strengthen the Java software supply chain beyond relying on build tools alone. It discusses SLSA security controls, attacks such as Log4Shell and the XZ backdoor, reproducible artifacts, and support from JReleaser for applying these practices. ### Source excerpt According to Wikipedia, a software supply chain is the components, libraries, tools, and processes used to develop, build, and publish a software artifact. The Java space provides thousands upon thousands of libraries that may be consumed as dependencies for building projects. Many of these libraries rely on Apache Maven as their build tool of choice, [...] The post Strengthening your Software Supply Chain appeared first on JVM Advent. ## Book Review - Just Use Postgres! DevFeed: [Book Review - Just Use Postgres!]() Original publisher: [Read original article]() Author: vladmihalcea Published: 2025-11-24T09:00:34Z Content type: opinion Language: en Sources: [Vlad Mihalcea]() Topics: [PostgreSQL](), [Databases](), [SQL](), [integrity](), [JSON](), [Time Series](), [Transactions](), [Embeddings](), [genai]() Tags: [book](), [book-review](), [embeddings](), [genai](), [integrity](), [json](), [postgres](), [postgresql](), [sql](), [time-series](), [transactions]() ### AI overview A review of Denis Magda's book Just Use Postgres!, describing its audience, structure, and coverage of PostgreSQL querying, data integrity, transactions, indexes, JSON, full-text search, extensions, embeddings, and time-series workloads. ### Source excerpt Introduction My friend, Denis Magda, wrote a wonderful book called Just Use Postgres!, and I'm glad that I got the chance to read it. Audience This book is useful for any software developer who's either using PostgreSQL or plans on using it because it covers a lot of features that are very useful for modern applications. No matter your level of seniority, you are definitely going to learn from Denis' book. Content Just Use Postgres! has 402 pages, 3 parts, and 11 chapters. The first part is an introduction to PostgreSQL and... Read More The post Book Review - Just Use Postgres! appeared first on Vlad Mihalcea. ## Postgres 18 Is Out: Try it on Neon DevFeed: [Postgres 18 Is Out: Try it on Neon]() Original publisher: [Read original article]() Author: Bryan Clark Published: 2025-09-25T18:54:37Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Database](), [Optimization](), [Query (disambiguation)](), [Developer experience](), [Structured-data](), [Cache]() Tags: [analytics](), [cache](), [cpu](), [integrity](), [merge](), [native](), [new-features](), [optimization](), [performance](), [postgres](), [preview](), [product](), [schema]() ### AI overview The article announces the Postgres 18 release and its immediate preview availability on Neon's Free plan. It highlights performance and developer-focused improvements including skip scans for multicolumn B-tree indexes, expanded EXPLAIN ANALYZE metrics, virtual generated columns, native UUIDv7 support, access to old and new row values in a single statement, and temporal integrity for keys. ### Source excerpt Postgres 18 just shipped, and as always, it's available in preview on Neon right away. You can try it right now on Neon's Free plan, no credit card or setup required. New Features in Postgres 18 Postgres 18 comes with a ton of other exciting updates around performance, flexibilit... [Next page]()