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ProgrammingDEV Community ·

Postgres RLS Write Gap: Green Isolation Tests Can Hide Cross-Tenant Data Corruption

A subtle flaw in PostgreSQL Row-Level Security (RLS) configuration can allow one tenant to overwrite another tenant's records, even when all isolation tests pass as green. The issue surfaces when developers fix a seeding error caused by FORCE ROW LEVEL SECURITY by relaxing the WITH CHECK clause to WITH CHECK (true), which disables write-side enforcement while leaving read filters intact. This means cross-tenant UPDATE statements without a WHERE clause can silently move rows between tenants, a vulnerability that existing read-only isolation assertions cannot detect. The correct approach is to omit WITH CHECK entirely, letting Postgres apply the USING expression to both reads and writes by default. Developers using Symfony or any framework that seeds fixtures as the table owner under FORCE RLS should audit their policies to ensure write-path enforcement has not been inadvertently removed.

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ProgrammingDEV Community ·

Number-Verification Gates Miss False Claims If No Figures Are Involved

A developer discovered that their automated fact-checking pipeline, which verified every numerical figure against its source, still allowed fabricated narrative claims to pass undetected. Of 79 AI-generated drafts that cleared the gate, 8 contained false first-person assertions — such as claiming a web scraper was built or deployed — because those statements carried no numbers for the gate to check. A manual review of all 79 drafts was required to identify and discard the problematic eight. In response, the developer expanded the pipeline to cross-reference every first-person action verb in a draft against a personal log of work actually performed. The fix introduces occasional false rejections when wording differs between the draft and the log, but the developer considers that an acceptable trade-off.

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ProgrammingDEV Community ·

Anthropic Launches Claude 3.5 Sonnet With Live Coding Workspace Feature

Anthropic has released Claude 3.5 Sonnet, the first model in its 3.5 series, offering faster performance and lower cost than its predecessor, Claude 3 Opus. A standout addition called Artifacts transforms the claude.ai interface into a collaborative workspace, letting users view rendered outputs and edit code in real time without switching between tools. In internal agentic coding tests, the new model resolved 64% of problems compared to 38% for Opus, indicating stronger capabilities in debugging and autonomous code execution. The model is priced at $3 per million input tokens and $15 per million output tokens, and is accessible via the Anthropic API, Amazon Bedrock, and Google Cloud Vertex AI. The release signals a broader shift in AI-assisted development, moving the model from a chat-based assistant toward an active participant embedded directly in the builder's workflow.

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ProgrammingDEV Community ·

Developer builds AI agent that reads and runs VBA directly in Excel workbooks

A developer has created a tool called VBridge that connects an AI agent directly to Excel VBA projects, bypassing the manual copy-paste workflow most users rely on. The traditional approach of pasting macro code into a chatbot fails because the AI cannot see the full workbook context, including sheet names, module variables, and live data. VBridge lets Claude Code read actual .bas and .cls files, execute macros against the open workbook, and interpret real runtime errors on the user's machine. The agent iterates autonomously on failures before presenting the user with a reviewed diff rather than raw code. The tool is positioned as especially useful for large, legacy VBA workbooks where critical context is spread across multiple modules and sheets.

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ProgrammingDEV Community ·

Audit Finds 66% of 10,238 Code Blocks Unowned, All Traced to One Missing Declaration

A codebase audit revealed that 6,718 of 10,238 code blocks had no declared owner, accounting for 66% of the total. All orphaned blocks were found in a single tools directory that had simply never been added to the ownership model, making the fix a single declaration rather than thousands of individual corrections. A separate finding flagged 916 orphan Rust functions spread across 14 crates, representing a genuine backlog requiring multiple review passes. The audit also exposed a counting inconsistency in proof declarations, where three different search methods returned three different totals, highlighting an undefined term rather than a data error. The exercise underscores how grouping and concentration data alongside raw counts is critical to distinguishing a systemic gap from a true backlog.

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ProgrammingDEV Community ·

Static Disposable Email Blocklists Fail Without Regular Updates, Developers Warned

Developers who rely on static lists of disposable email domains to block fake signups are leaving their platforms vulnerable, according to a post by the creator of Email Score, a signup validation service. The core problem is that new burner email domains are created continuously, meaning any blocklist that is not updated regularly will quickly become outdated. The author argues that list size is a vanity metric, noting that a competitor advertising over 300,000 blocked domains may simply have scraped more historical data rather than tracking new threats. To address this, the author recommends syncing disposable-only feeds on a weekly or daily schedule, deduplicating entries, and explicitly allowing legitimate privacy relay services like Apple Hide My Email and SimpleLogin to avoid blocking real users. Developers are also advised to run disposable checks before creating user accounts, soft-score ambiguous cases rather than hard-blocking them, and fail open if the validation service times out.

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ProgrammingDEV Community ·

Developer discovers coverage check that could only ever show 100% by design

A software developer found that a code coverage check in their project always displayed 13/13, not because coverage was genuinely complete, but because both the numerator and denominator were derived from the same array. Since the numerator was simply the array mapped through a function, its length could never differ from the denominator, making failure mathematically impossible. The real risk — an error case with no matching classifier arm — was invisible because missing entries were absent from both sides of the fraction simultaneously. The fix involved replacing the denominator with an independent source, the full set of known error kinds, so any gap would cause the ratio to drop. The developer has since added an 'aggregation gap' audit rule to automatically flag coverage checks where the numerator and denominator share the same source.

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ProgrammingDEV Community ·

Why 'One-Shot' AI Development Is a Myth and Collaboration Still Matters

The idea of 'one-shot' AI development — where a single prompt autonomously produces a complete project — has gained buzz in tech circles, but experts argue it fundamentally misunderstands how AI tools work. AI coding agents lack the ability to infer unstated context, leading them to make assumptions about scope, environment, and requirements that often miss the mark. A practical test of one-shot development revealed that agents quickly began asking clarifying questions, undermining the premise of true single-prompt autonomy. Tools like Claude Skills are designed not to minimize prompts, but to supply agents with the context and success criteria needed to work effectively alongside developers. The more productive framing, advocates say, is to treat AI-assisted development as a collaborative, iterative process rather than a task handoff.

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ProgrammingDEV Community ·

How ngx-json-render 0.4.0 Tackled Infinite Loops in Dynamic UI Rendering

The ngx-json-render library's 0.4.0 release addressed a critical flaw where structurally valid JSON specs could crash browsers by describing circular element graphs that the renderer walked as infinite trees. Prior versions had no protection against such cycles, allowing a simple two-element spec referencing each other to exhaust the call stack and kill the browser tab. A straightforward cycle-detection fix risked breaking legitimate recursive UI patterns, such as nested menus or comment threads, which intentionally reference parent elements but terminate based on data depth. A refined rule allowing self-referencing elements only when rendering different data items per pass solved one problem but introduced another, permitting absolute state paths to re-read the same data endlessly and generate tens of thousands of nodes. The article documents this iterative debugging process as evidence that structural validity and render safety are distinct properties requiring separate enforcement mechanisms.

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ProgrammingDEV Community ·

Linkerd Service Mesh Deployed on AKS to Boost Security and Observability

A technical implementation of Linkerd, a lightweight Rust-based service mesh, was carried out on an Azure Kubernetes Service cluster to address the growing complexity of microservices communication. The deployment enabled mutual TLS encryption, real-time traffic visibility, and reduced operational overhead across services. Linkerd's architecture relies on a Control Plane for policy and identity management and a Data Plane of sidecar proxies injected into application pods. Post-deployment testing confirmed successful proxy injection, stable control plane components, and accessible observability dashboards. Key takeaways include the importance of namespace planning, GitOps-based automation, and proactive certificate monitoring for production readiness.

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ProgrammingDEV Community ·

Hestia App Uses Strands AI Agents to Flag Household Money Leaks Without Overstepping

Hestia is a household finance app built for the AWS Agents for Humans hackathon that uses two Strands AI agents to help families catch overlooked expenses like lapsed warranties, unwanted subscriptions, and missing receipts. The app runs on Amazon Bedrock using Claude Haiku 4.5 and is designed so that the AI only reads and flags issues, while all date and amount calculations are handled by plain Python code. A review agent scans household data through four read-only tools and produces a short briefing, while a separate reading agent converts pasted text into proposed records — neither agent can write, send, or modify any data. To prevent the model from overstating conclusions, the system prompt explicitly bars it from implying refund entitlements or inventing deadlines, restricting it to facts drawn directly from tool outputs. The code also independently verifies the model's responses after each run, treating the prompt as a guideline rather than a guaranteed constraint.

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ProgrammingDEV Community ·

Developer Builds AI-Powered Scientific Journal App Using Gemini and Cloud Run

A developer has created an application called AI Scientific Journal to help researchers consolidate scattered notes, photos, measurements, and questions in one place. The app allows users to organize observations, visualize them on a research map, and generate AI-powered analyses using Google's Gemini model. Users can also engage in AI chat to develop ideas further and query past journal entries to surface relevant evidence. The project was built using Firebase, Firestore, Docker, and Google Cloud Run, with a focus on security and cloud deployment. The live application is publicly available, and the developer is actively seeking user feedback and suggestions.

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ProgrammingDEV Community ·

IntoLayers Uses AI to Split Flat Images Into Editable Layered Files

A developer has launched IntoLayers, an AI-powered tool that converts flat PNG or JPEG images into separate, named, transparent layers. Users upload an image and receive individual elements — such as text, subjects, and background — each isolated on its own layer with gaps reconstructed behind removed objects. The tool can export individual layers as transparent PNGs or bundle the full stack into a layered PSD file compatible with Photoshop, Figma, and Affinity Photo. PSD assembly happens client-side in the browser, meaning images are not re-uploaded for packaging. One free conversion is available without an account, while signing in unlocks higher output resolutions and a saved results library.

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ProgrammingDEV Community ·

Agentic AI Workflows: Key Design Flaws and What Engineers Should Build First

A developer series on agentic AI workflows has identified core failure points observed across real production runs. Instructions given to language models act as strong defaults rather than guarantees, meaning any critical rule not backed by a script is likely to be skipped silently. Data contracts between components frequently go untested, causing failures only after code has already shipped, while loop histories get overwritten and concurrency is constrained by shared infrastructure rather than the workflow itself. Measuring genuine improvement also proves difficult, as common metrics like elapsed time and token counts are easily distorted by caching, model changes, or operator familiarity. The author recommends tracking specific recurring frictions and counts of expensive operations — such as environment boots and human wait events — as the most reliable indicators of progress.

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ProgrammingHacker News ·

RubyGems Explores OpenAI Integration to Strengthen Supply Chain Security

A recent blog post by Rietta examines the intersection of RubyGems open source package management and supply chain security. The article explores how OpenAI's capabilities could potentially be leveraged to detect or mitigate security threats within the RubyGems ecosystem. Supply chain attacks on open source repositories have become an increasing concern for developers and organizations worldwide. The post generated discussion on Hacker News, drawing attention to the growing need for AI-assisted security measures in package management platforms.

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ProgrammingDEV Community ·

Why smaller tasks and tighter gates are key to reliable AI dev workflows

A DEV Community analysis argues that the most critical decision in an agentic development workflow is determining the size of the task handed to an AI agent before a run begins. The author recommends deliberately smaller, narrower work items, noting that larger tasks erode review quality, turn approval gates into rubber stamps, and make plans vague and unverifiable. Effective task descriptions must include specific acceptance criteria, relevant context the agent cannot discover on its own, and direct pointers into the codebase. Gates are framed not as overhead but as the core product of the workflow, since any error approved at a gate propagates faithfully through every downstream step. The piece acknowledges the trade-off — more items mean more runs and more overhead — but contends this cost is worth accepting to preserve meaningful human control.

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ProgrammingHacker News ·

XMPP Developer Asks How Jabber Can Regain Relevance in Modern Messaging

A developer behind the XMPP/Jabber messaging protocol has published a blog post questioning how the open standard can gain broader adoption. The article, shared on Hacker News, explores the challenges facing decentralized messaging in a market dominated by proprietary platforms. XMPP, once a widely used open messaging protocol, has struggled to compete with mainstream apps like WhatsApp and Signal. The post sparked discussion among the Hacker News community, though engagement remained modest with 13 points and 5 comments.

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ProgrammingDEV Community ·

Minecraft and FiveM Servers Fail Differently Under Stress — Here's What Breaks First

A capacity testing analysis reveals that game servers degrade under load in fundamentally different ways than websites, making standard web-based stress tests largely irrelevant for game infrastructure. Vanilla Minecraft servers are most vulnerable at the main tick loop, a single-threaded process running 20 times per second, where crafted protocol-level packets and connection floods drive down ticks-per-second long before bandwidth metrics raise any alarm. FiveM, built on a modified GTA V engine, faces a different challenge: entity synchronization costs scale roughly with the square of connected players, meaning resource-heavy servers can buckle quickly under coordinated connection storms. The key metrics to monitor are TPS and tick duration for Minecraft, and server FPS plus sync delay for FiveM, rather than raw throughput figures. Structured testing — establishing a clean baseline, then isolating individual load vectors — is recommended to produce a meaningful capacity profile rather than misleading anecdotal results.

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