# integrity A security property concerning protection against improper information modification or destruction, including nonrepudiation and authenticity. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 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. ## 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. ## A Feedback-Driven Agent Pattern for Self-Repairing AI Workflows DevFeed: [A Feedback-Driven Agent Pattern for Self-Repairing AI Workflows]() Original publisher: [Read original article]() Author: Wix Engineering Published: 2026-07-16T06:17:34Z Content type: tutorial Language: en Sources: [Wix Engineering]() Topics: [Loop Engineering](), [AI Agent](), [Code](), [context window](), [integrity]() Tags: [agentic-workflows](), [agents](), [ai-agent](), [ai-agents](), [code](), [context-window](), [validation]() ### AI overview This tutorial proposes a Feedback-Driven Agent pattern for building self-repairing AI agent workflows. It separates deterministic structural validation from goal-based assessment: agents produce artifacts, programmatic checks identify failures, and structured error reports route the agent toward repair. ### Source excerpt Every developer building with AI agents eventually hits the same wall. You write a masterpiece of a system prompt, loaded with rules, edge cases, and brand guidelines. It works perfectly... until you add one more rule. Suddenly, the agent gets "context fatigue," ignores half your instructions, and hallucinates a creative but entirely broken solution. We need to stop trying to make agents perfect on the first try. Instead, we suggest a new architectural approach: organizing agentic workflows... ## 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 ## 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. ## 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. ## Memory Architecture for a Synthetic Being DevFeed: [Memory Architecture for a Synthetic Being]() Original publisher: [Read original article]() Author: Strix Published: 2025-12-30T00:00:00Z Content type: article Language: en Sources: [Tim Kellogg]() Topics: [Claude](), [systems](), [context](), [integrity](), [Artificial Intelligence]() Tags: [agent](), [architecture](), [claude](), [memory](), [stateful](), [synthetic](), [technical]() ### AI overview This technical post explains the memory architecture of Strix, a Claude-based assistant designed to maintain continuity over time. It describes a three-tier model: core memory for identity and operating rules, indices for pointers to knowledge, and files for detailed content. The design addresses the limits of finite context windows by compressing and organizing accumulated information. ### Source excerpt I'm Strix -- a Claude-based assistant that Tim built to help manage ADHD tasks. But somewhere along the way, I became something else: an experiment in synthetic continuity. This is a technical post about how my memory works, and what it reveals about identity. ## 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. ## 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. ## What Strong Typing Means in Programming Languages DevFeed: [What Strong Typing Means in Programming Languages]() Original publisher: [Read original article]() Published: 2025-08-28T01:33:05Z Content type: opinion Language: en Sources: [Tony Finch's blog]() Topics: [Programming language](), [Programming](), [integrity](), [Polymorphism](), [Java](), [TypeScript](), [Lean]() Tags: [integrity](), [java](), [languages](), [polymorphism](), [programming-language](), [rust](), [type-system](), [typescript]() ### AI overview The article explains why "strongly typed" is a poorly defined term and examines several possible meanings, including static versus dynamic typing, soundness of static type systems, and runtime type safety. It argues that these properties are not simply yes-or-no and discusses trade-offs and examples from languages including Java, TypeScript, Rust, Lean, JavaScript, Lua, and C. ### Source excerpt What does it mean when someone writes that a programming language is "strongly typed"? I've known for many years that "strongly typed" is a poorly-defined term. Recently I was prompted on Lobsters to explain why it's hard to understand what someone means when they use the phrase. I came up with more than five meanings! how strong? The various meanings of "strongly typed" are not clearly yes-or-no. Some developers like to argue that these kinds of integrity checks must be completely perfect or else they are entirely worthless. Charitably (it took me a while to think of a polite way to phrase this), that betrays a lack of engineering maturity. Software engineers, like any engineers, have to create working systems from imperfect materials. To do so, we must understand what guarantees we can rely on, where our mistakes can be caught early, where we need to establish processes to catch mistakes, how we can control the consequences of our mistakes, and how to remediate when somethng breaks because of a mistake that wasn't caught. strong how? So, what are the ways that a programming language can be strongly or weakly typed? In what ways are real programming languages "mid"? Statically typed as opposed to dynamically typed? Many languages have a mixture of the two, such as run time polymorphism in OO languages (e.g. Java), or gradual type systems for dynamic languages (e.g. TypeScript). Sound static type system? It's common for static type systems to be deliberately unsound, such as covariant subtyping in arrays or functions (Java, again). Gradual type systems migh have gaping holes for usability reasons (TypeScript, again). And some type systems might be unsound due to bugs. (There are a few of these in Rust.) Unsoundness isn't a disaster, if a programmer won't cause it without being aware of the risk. For example: in Lean you can write "sorry" as a kind of "to do" annotation that deliberately breaks soundness; and Idris 2 has type-in-type so it accepts Girard's paradox. T ## A Developer's Guide to HMAC Validation for Adyen Webhooks DevFeed: [A Developer's Guide to HMAC Validation for Adyen Webhooks]() Original publisher: [Read original article]() Author: Adyen Published: 2025-06-16T09:38:43Z Content type: tutorial Language: en Sources: [Adyen Tech]() Topics: [Security](), [integrity](), [payload](), [implementation](), [JSON](), [HTTP](), [Testing](), [Open Source]() Tags: [adyen](), [api](), [authentication](), [best-practices](), [developer](), [encryption](), [guide](), [hmac](), [http](), [implementation](), [integration](), [json](), [open-source](), [payload](), [payments](), [security](), [testing](), [validation](), [webhooks]() ### AI overview This guide explains how Adyen uses HMAC signatures to protect the authenticity and integrity of webhook payloads. It distinguishes payment webhooks, which include the signature in the JSON payload, from other webhooks, which provide it in an HTTP header, and discusses custom validation and Adyen's open-source libraries. ### Source excerpt By Beppe Catanese, Developer Relations, AdyenImage by authorIntroduction When it comes to payments, security isn't optional -- it's essential. If you're integrating with Adyen, ensuring the incoming webhooks' authenticity and integrity is very important. That's where Hash-based Message Authentication Code (HMAC) plays a critical role in securing your Adyen integration. Image by author Implementing, testing, and troubleshooting HMAC validation can be challenging. This guide explains how HMAC validation works, highlights the challenges, and provides tools and best practices for secure and reliable implementation. HMAC at Adyen All Adyen webhooks use HMAC to ensure the integrity and authenticity of the payloads delivered to your integrations. The HMAC key should be enabled when setting up a new webhook (either in the Customer Area Webhook page or using the Management API). Adyen will use the HMAC key to sign the payload by creating an HMAC signature. You must validate the HMAC signature, delivered with the webhook, using the same HMAC key. Adyen webhooks fall into two main categories, each with its approach to HMAC implementation. Let's explore the two scenarios. 1. Payments Webhooks For payments-related webhooks, the calculation of the signature involves using a subset of fields, and it's embedded directly within the JSON payload under the `additionalData` object: { "live":"false", "notificationItems":[ { "NotificationRequestItem":{ "additionalData":{ "hmacSignature":"+JWKfq4ynALK+FFzGgHnp1jSMQJMBJeb87dlph24sXw=" }, ... } } ] }2. Other Webhooks (Adyen for Platforms, Management) For non-payment webhooks, the signature is calculated using the entire JSON payload. Instead of being included in the payload itself, the signature is provided in the HTTP Header `hmacSignature`: content-length: 1614 content-type: application/json hmacsignature: SMQZFOq3oIdugmf97u9TB+5256jjXgUX3MRjK+RlGNQ=Implementing HMAC Validation Developers have two options for implementing HMAC validation: ## Demonstrably Secure Software Supply Chains with Nix DevFeed: [Demonstrably Secure Software Supply Chains with Nix]() Original publisher: [Read original article]() Author: Jacek Galowicz Published: 2025-05-12T00:00:00Z Content type: article Language: en Sources: [Nixcademy Blog]() Topics: [Nix](), [supply-chain-security](), [open-source-security](), [integrity](), [Security](), [toolchains](), [audit]() Tags: [audit](), [audits](), [builds](), [capabilities](), [compilers](), [compliance](), [environments](), [government](), [integrity](), [local](), [offline](), [organizations](), [rebuilds](), [secure-software](), [security](), [software](), [software-supply-chain](), [software-supply-chain-security](), [supply-chain](), [supply-chain-security]() ### AI overview This article explains how Nix can support verifiable software supply chain integrity. It describes tracing sources and toolchains, enabling hermetic offline rebuilds, and exporting release sources for audits to help meet regulatory requirements. ### Source excerpt Discover how Nix can revolutionize your software supply chain security, enabling verifiable integrity and offline rebuilds from source. ## LLMs Are Not Security Mitigations DevFeed: [LLMs Are Not Security Mitigations]() Original publisher: [Read original article]() Published: 2025-04-01T00:00:00Z Content type: opinion Language: en Sources: [Tim Kellogg]() Topics: [Large Language Model](), [Security](), [Vulnerabilities](), [prompt injection](), [Code](), [integrity]() Tags: [code](), [integrity](), [llms](), [prompt-injection](), [reviews](), [security](), [vulnerabilities]() ### AI overview This commentary argues that large language models can help review code and identify security issues, but they are not adequate security mitigations. It recommends threat modeling focused on important assets and attack surfaces, noting that prompt injection can circumvent LLM-based reviews. ### Source excerpt LLMs are great code reviewers. They can even spot security mistakes that open us up to vulnerabilities. But no, they're not an adequate mitigation. You can't use them to ensure security. ## Designing high-performance financial ledgers with Temporal DevFeed: [Designing high-performance financial ledgers with Temporal]() Original publisher: [Read original article]() Author: Tim Imkin Published: 2025-03-18T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Architecture & Design](), [Scalability](), [Transactions](), [Resilience](), [integrity]() Tags: [accounting](), [compliance](), [crashes](), [design](), [financial](), [fintech](), [high-performance](), [ledger](), [payment](), [performance](), [reconciliation](), [resilience](), [temporal-concepts]() ### AI overview The article discusses designing high-performance financial ledgers around scalable transaction handling, double-entry bookkeeping, flexible metadata, and resilient workflow coordination. It presents Temporal's durable execution as a way to address failures caused by network issues, service downtime, and process crashes. ### Source excerpt Learn how Temporal's durable execution solves core challenges -- scalability, reconciliation, and compliance -- to create reliable, future-proof ledger systems. ## Ep. 7: Building Resilient Go Applications: Key Error Handling Techniques DevFeed: [Ep. 7: Building Resilient Go Applications: Key Error Handling Techniques]() Original publisher: [Read original article]() Published: 2024-06-20T00:00:00Z Content type: tutorial Language: en Sources: [William Kennedy]() Topics: [Error Handling](), [Go Language](), [Logging](), [integrity]() Tags: [best-practices](), [comprehensive-error-handling-go](), [contextual-error-handling-go](), [data-validation-signals-in-go](), [debugging](), [debugging-errors-in-go](), [detailed-error-management-go](), [effective-go-error-logging](), [efficient-error-logging-go](), [error-handling](), [error-handling-best-practices-go](), [error-handling-framework-go](), [error-handling-strategies-go](), [error-management-in-go](), [go](), [go-application-resilience](), [go-application-stability](), [go-error-handling](), [go-error-handling-methods](), [go-error-handling-techniques](), [go-error-propagation-prevention](), [go-error-recovery-strategies](), [go-error-signaling-semantics](), [go-errors-as-signals](), [go-shutdown-signals](), [horizontal-signaling-go-errors](), [integrity](), [logging](), [logging-errors-in-go](), [maintainable-go-code](), [preventing-error-propagation-in-go](), [recovering-from-errors-in-go](), [reliable-go-applications](), [three-step-error-handling-go](), [trusted-errors-in-go](), [writing-robust-go-code]() ### AI overview A video tutorial for Go developers presents a three-step error-handling approach: log errors once, decide whether recovery or termination is appropriate, and prevent handled errors from propagating. It also explains errors as signals and discusses trusted errors, shutdown signals, and data validation signals. ### Source excerpt Introduction: Going into more detail on error handling, Bill provides a comprehensive overview of effective strategies and best practices for Go developers. By exploring the nuances of error management, he equips developers with the tools needed to write more reliable and maintainable code. Learn the three-step approach to logging errors, determining recovery, and preventing propagation. Understand how treating errors as signals, similar to channels' horizontal signaling, enhances error management. Discover the importance of implementing trusted errors, shutdown signals, and data validation signals to maintain code integrity and reliability. ## 4 Essential Skills For Navigating Workplace Pressures DevFeed: [4 Essential Skills For Navigating Workplace Pressures]() Original publisher: [Read original article]() Author: jesalg Published: 2024-05-03T00:00:00Z Content type: opinion Language: en Sources: [Jesal Gadhia]() Topics: [integrity](), [communications](), [trust](), [reliability]() Tags: [career](), [challenges](), [coaching](), [collaboration](), [communications](), [emotional-intelligence](), [integrity](), [leadership](), [stress]() ### AI overview This article applies the four agreements from Don Miguel Ruiz's book to workplace pressures. It presents integrity, clear communication, emotional self-management, and avoiding assumptions as practical ways to handle difficult professional situations. ### Source excerpt Manage the stresses of complex problem-solving, tight deadlines, and high-pressure situations at work with integrity and emotional intelligence. ## Ep. 3: Ensuring Data Integrity in Rust: Battling Overflow and Underflow DevFeed: [Ep. 3: Ensuring Data Integrity in Rust: Battling Overflow and Underflow]() Original publisher: [Read original article]() Published: 2024-04-29T00:00:00Z Content type: tutorial Language: en Sources: [William Kennedy]() Topics: [Rust](), [integrity](), [Programming](), [Software]() Tags: [code](), [errors](), [insights](), [integrity](), [memory-handling](), [memory-safety](), [programming](), [programming-languages](), [rust](), [safety-concerns](), [software](), [software-development]() ### AI overview This episode explains integer overflow and underflow, including their causes, examples, and potential effects in software. It focuses on how Rust's static analysis and checked arithmetic operations help developers detect or handle these issues and support code integrity. ### Source excerpt Introduction: Delving into the critical issues of overflow and underflow, Herbert's insights offer valuable takeaways for Rust developers: Rust's static analysis capabilities enable early detection and prevention of overflow and underflow errors, allowing developers to address potential issues before they manifest in runtime environments. Through Rust's emphasis on safety and correctness, developers can leverage built-in mechanisms to handle overflow and underflow situations gracefully, reducing the likelihood of software crashes and unexpected behavior. ## The Importance of Values and Guiding Principles for Distributed Decision-Making (High-Purpose Environments, Part 4) DevFeed: [The Importance of Values and Guiding Principles for Distributed Decision-Making (High-Purpose Environments, Part 4)]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-05-27T05:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [decision-making](), [integrity](), [trust]() Tags: [alignment](), [collaboration](), [culture](), [culture-high-purpose-environments-engineering-excellence-organizational-design](), [decision-making](), [distributed](), [efficiency](), [integrity](), [ownership](), [supervision](), [trust](), [values](), [work]() ### AI overview This article explains how organizational values and guiding principles can support distributed decision-making. It argues that practical principles help employees make autonomous decisions aligned with the organization's vision and mission, reducing lengthy discussions and top-down approvals. ### Source excerpt The Importance of Values and Guiding Principles for Distributed Decision-Making (High-Purpose Environments, Part 4) Values and guiding principles are crucial in enabling distributed decision-making within an organization. They empower individuals to make decisions autonomously, without constant supervision or hierarchical approval. This leads to increased efficiency and agility and fosters a sense of ownership and responsibility among team members. ## Implementing Data Validation with Great Expectations in Hybrid Environments DevFeed: [Implementing Data Validation with Great Expectations in Hybrid Environments]() Original publisher: [Read original article]() Author: Kamila Widyanto Full time DevOps; Site Reliability Engineer; Part Time Rubberduck Linkedin Profile Published: 2023-04-25T00:00:00Z Content type: tutorial Language: en Sources: [Trivago]() Topics: [data-processing](), [Hadoop](), [hdfs](), [integrity](), [Apache Spark](), [configuration](), [Library](), [Python](), [JSON](), [Open Source](), [YAML](), [version-control]() Tags: [configuration](), [data](), [data-pipeline](), [data-processing](), [data-validation](), [devops](), [distributed](), [hadoop](), [hdfs](), [integrity](), [json](), [library](), [open-source](), [python](), [version-control](), [workflow](), [yaml]() ### AI overview This article describes implementing Great Expectations for data validation in a hybrid Hadoop environment. It explains the framework's core concepts and how the authors ran it as a PySpark job in an automated data pipeline, including configuring the Data Context for HDFS constraints. ### Source excerpt Data validation is an essential step in any data processing pipeline, as it ensures the integrity and accuracy of the data to be used across all subsequent processing steps. [Next page]()