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ProgrammingDEV Community ·

Cybersecurity Student Tests Wazuh SIEM Using Atomic Red Team Attack Simulations

Zehra Begum, a network security and threat detection student, documented her first hands-on SIEM deployment using Wazuh and Atomic Red Team (ART) to simulate real-world cyberattacks. She configured log-shipping agents and system files to capture host and network telemetry, then ran tests against three MITRE ATT&CK techniques: scheduled task persistence (T1053.005), file obfuscation via registry modification (T1027), and valid account abuse (T1078). The experiments demonstrated how endpoint misconfigurations can leave critical attack activity invisible in SIEM dashboards. Key takeaways included the importance of validating configuration syntax, enabling host-level auditing policies like Sysmon, and systematically tracing the log pipeline from event creation through to SIEM ingestion.

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ProgrammingDEV Community ·

Single Storage Setting Blocked AI Legal Agent from Learning Judge Behavior Patterns

A developer built an AI agent called Tareekh to help Indian litigators capture unwritten courtroom knowledge, such as a judge's pattern of imposing costs after repeated adjournment requests. The agent ingests lawyers' diary notes, court order sheets, and hearing records, then answers practice-related queries with source citations. For a long time, the agent failed to detect behavioral patterns spanning multiple cases because of how memory items were being stored in the Hindsight knowledge system. The root cause turned out to be a single configuration field that confined observations within individual cases rather than allowing cross-case connections. Once corrected, the agent could identify a judge's consistent conduct — such as warning on a second request and closing evidence on a third — by linking entries across unrelated matters.

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ProgrammingDEV Community ·

How a deliberate memory gap makes this AI accounts payable agent more secure

A developer building LedgerMind, an AI-powered accounts payable agent, intentionally designed it to return zero memories for first-time vendors rather than pulling similar vendors' data as a proxy. The system uses an open-source memory tool called Hindsight to recall and retain vendor payment history, but only queries it when a confirmed payment record exists in the vendor master. This prevents semantic search from fabricating trust by surfacing lookalike vendors — a vulnerability that could be exploited in bank-detail fraud. For known vendors, recalled history helps flag anomalies like sudden account changes, with the agent citing specific past payment counts and verified contacts. New vendors are automatically routed to human review, treating the absence of history as a deliberate safety signal rather than a system gap.

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ProgrammingDEV Community ·

How Common Resume Formatting Mistakes Cause ATS Systems to Reject Engineers

Most mid-to-large companies filter job applications through Applicant Tracking Systems (ATS) before any human recruiter reviews them. These systems parse resumes as plain text, meaning design-heavy layouts with multi-column formats, tables, text boxes, and graphics often produce garbled or incomplete output. Critical details like contact information placed in headers or footers may be entirely skipped, leaving applications with missing data. Keyword mismatches — such as using 'TS' instead of 'TypeScript' — can also cause a resume to be overlooked when recruiters search the ATS database. Experts recommend switching to a single-column, plain-text format with standard fonts, consistent dates, conventional job titles, and a properly named PDF file to improve ATS compatibility.

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ProgrammingHacker News ·

Ranked: How Profitable Are the World's Largest Companies?

Visual Capitalist has published a ranking examining the profit margins of the world's largest companies. The analysis highlights how profitability varies significantly across industries and corporations at the top of the global economy. Some sectors, such as technology and finance, tend to post considerably higher margins than others like retail or manufacturing. The data offers a comparative look at which giants convert the most revenue into actual profit.

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ProgrammingDEV Community ·

Game dev audit finds screenshots mislabeled as PNG but stored as JPEG files

A technical review of the VOLT NOMAD itch.io submission package, conducted on September 11, 2026, examined documentation and image files against a fixed repository commit. The inspection found that all six gameplay screenshots carried .png file extensions but were actually JPEG files, as confirmed independently by Node.js v24.15.0 and the macOS file command. Submission documentation in ITCH_SUBMISSION.md covered page fields, controls, descriptions, and AI-use disclosures, and was evaluated from a first-time visitor's perspective. The review also noted that mobile-friendly settings should remain disabled until real-device testing is complete, cautioning that listing touch controls does not confirm full phone compatibility. No new build was submitted and no upload failures were attributed to the format mismatch, but the issue was flagged for correction before any file validation step expecting true PNG data.

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ProgrammingDEV Community ·

Dev builds support bot that tracks cross-channel history to auto-escalate repeat issues

A developer has built a support bot using the Hindsight memory framework that retains customer interaction history across chat, email, and phone channels. The bot uses a customer's email as a universal identifier to link contacts and flags unresolved issues for escalation when a problem recurs three or more times. An LLM generates a handoff note explaining the escalation decision, while the threshold logic itself is handled by code rather than the model. Testing across several customer scenarios showed the system works well for clear-cut cases, though determining whether multiple contacts relate to the same issue remains an acknowledged weak point. The developer recommends starting with a reliable join key and treating escalation as a memory problem rather than a prompt-engineering challenge.

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ProgrammingDEV Community ·

Developer Builds AI Support Agent With Persistent Long-Term Memory

A developer has built an AI-powered support agent called Hindsight that uses persistent long-term memory to retain context across interactions. The system is structured around three architectural layers designed to store and retrieve past information effectively. Unlike standard AI agents, Hindsight tracks which solutions actually resolved issues, allowing it to learn from outcomes over time. This memory-driven approach aims to make automated support feel more human and contextually aware. The project is open source and available on GitHub.

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ProgrammingDEV Community ·

A Developer's Pre-Deployment Checklist to Prevent Common Production Failures

A software developer has outlined a practical checklist to catch critical issues before pushing a website to production. Key steps include verifying that environment variables such as DATABASE_URL and API keys are correctly configured and never committed to version control. Running a production build locally, rather than relying on the development server, can expose missing dependencies, invalid imports, and case-sensitive path errors early. Database migrations must be coordinated with application deployments to avoid runtime errors caused by mismatched schema versions. After deployment, reviewing server logs for connection failures, authentication errors, and unexpected HTTP status codes is recommended to confirm users are experiencing the site as intended.

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ProgrammingDEV Community ·

Ghost CMS Theme Updated to Show Language-Matched Posts in 'More Posts' Section

Developer Sanghun Kang has released an update to a multilingual Ghost CMS theme that fixes a language mismatch in the 'More Posts' footer section. Previously, the section displayed recent posts from all languages regardless of the current post's language. The fix modifies the Handlebars template to filter posts by language tag, showing only English posts under the #en tag and Korean posts under the #ko tag. The updated code uses Ghost's built-in tag filtering to ensure readers see contextually relevant content. This update is part of an ongoing series on building a multilingual Ghost CMS blog theme.

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ProgrammingDEV Community ·

Study Compares DMADV and IDOV Frameworks for Defect-Free Systems Design

A research monograph by Daniel Shaeffer, published by the Shaeffer Institute for Systems Architecture and archived on Zenodo, examines two Design for Six Sigma methodologies used in complex systems engineering. The paper argues that traditional Six Sigma's DMAIC cycle breaks down in greenfield system development because it relies on data from existing operational processes. To address this gap, two DFSS alternatives emerged: DMADV and IDOV, which aim to prevent defects during the architectural design phase rather than correcting them later. Shaeffer identifies structural weaknesses in DMADV, including premature measurement requirements and a conflation of verification and validation, which can anchor new designs to outdated constraints. The study maps both methodologies against the ISO/IEC/IEEE 15288 systems engineering lifecycle to assess how well each aligns with hierarchical decomposition and system verification processes.

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ProgrammingDEV Community ·

Why AI Agents Struggle to Distinguish Fresh Memory from Stale Data

A developer building an AI sales assistant found that giving an agent persistent memory does not solve the context problem — it merely relocates it. The core challenge shifts from fitting all history into a prompt to retrieving only the most relevant and current information for a given query. Outdated or conflicting customer data, such as an objection that was later resolved, can mislead the model if retrieved without temporal context. The system addresses this by logging call outcomes after each interaction, creating a continuous memory loop that updates without retraining the underlying language model. A key design choice was making retrieved memories visible to users, enabling clearer debugging by separating retrieval failures from reasoning failures.

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ProgrammingDEV Community ·

How to Design Honest Empty States for Features That Are Often Blank

Many UI features — such as live sections, sale banners, or expiring stories — are empty by default, yet most apps display a generic 'nothing here' message that users mistake for a broken page. A better approach distinguishes between four distinct states: expected absence, temporary unavailability, restricted content, and actual errors, since each requires different messaging and a different next step. Developers are advised to return an explicit status field from the API rather than inferring state from an empty array, ensuring the UI always knows why content is missing. When no live content exists, the interface should plainly acknowledge this as normal, explain when content may return if known, and immediately display a useful fallback in the same view. For expiring content, time remaining should be calculated client-side from an absolute timestamp and refreshed every minute to stay accurate even in long-open tabs.

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ProgrammingDEV Community ·

Consistent Publishing Hinges on Facts, Not Inspiration, Editors Argue

A content strategy perspective from DEV Community argues that missed publishing deadlines are rarely caused by a lack of creativity, but rather by an absence of concrete facts such as dates, deliverables, and approved claims. When writers lack this factual foundation, they resort to padding content, which digital platforms tend to penalize. The proposed solution is a simple monthly checklist that operators can complete in roughly twenty minutes, covering what shipped, what changed, and what must not be stated. The approach also cautions against common shortcuts like fabricated case studies, stacked calls-to-action, and duplicate posts filed under different titles. The core principle is straightforward: gather the facts first, then begin writing.

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ProgrammingDEV Community ·

Developer builds ShipCheck, a static preflight scanner to assess Unity project release readiness

A developer has created ShipCheck, a local read-only tool that scans Unity project folders to identify issues that could prevent a game from shipping. The tool separates three distinct concepts — project health, release readiness, and confidence — after early versions conflated all findings into a single misleading score. For older Unity projects where scene serialization cannot be reliably parsed offline, ShipCheck now reports 'LIMITED EVIDENCE' rather than generating an inaccurate readiness number. To filter out irrelevant third-party asset noise, the tool builds a shipping dependency graph starting from enabled build scenes and traces serialized GUID references to classify content as shipping, non-shipping, or third-party. The project also accounts for Unity's runtime content-loading patterns, ensuring assets not directly referenced in scenes are still considered during analysis.

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ProgrammingDEV Community ·

Jeff runs zero-shot classification in 22 ms using a 0.8B local model

Jeff is an open-source project published on GitHub that performs zero-shot classification using a 0.8-billion-parameter model, delivering results in 22 milliseconds on an RTX PRO 6000 GPU and 28 ms on an Apple M4 Max. The model can assign inputs to categories it never encountered during training by accepting natural-language descriptions of options at query time, returning a calibrated probability per option in a single forward pass. Fine-tuning the base Qwen3.5-0.8B model with Jeff's approach raised its average benchmark score from 45.3 to 79.1, approaching the 83.0 reported by the larger Jev model. Jeff excels at classification tasks — scoring 96.4 on Financial PhraseBank versus Jev's 77.0 — but trails significantly on reasoning benchmarks like BBH, where Jev scores 94.3 against Jeff's 64.0. The entire training pipeline runs on local hardware using synthetic data generated by an open model, with no reliance on cloud GPUs or proprietary model outputs.

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ProgrammingDEV Community ·

Why Simple Python Retry Loops Can Mask Real Errors and How to Fix Them

A basic Python retry loop that catches all exceptions with a fixed delay can conceal permanent failures and create a false sense of system reliability. Such loops may also trigger duplicate side effects if the underlying operations are not idempotent. More robust alternatives include exponential backoff with full jitter, which spreads out retry attempts to avoid synchronized load spikes on servers. Developers can implement these patterns manually or use the well-tested tenacity library, which offers configurable policies including circuit breakers with minimal boilerplate. Best practices recommend limiting retries to genuinely transient errors, respecting server-provided backoff hints like Retry-After headers, and capping total retry duration.

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ProgrammingHacker News ·

U.S. Strategic Petroleum Reserve Drops to Lowest Level Since 1982

The U.S. Strategic Petroleum Reserve (SPR) has fallen to its lowest level since 1982, according to a report by OilPrice.com. The SPR is a government-managed emergency stockpile of crude oil maintained to cushion the U.S. economy against supply disruptions. The decline marks a significant drawdown of a reserve that has historically served as a buffer during energy crises. The development has drawn attention amid ongoing concerns about global energy supply and prices.

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ProgrammingDEV Community ·

How AI Agent Memory Tools Help Compliance Teams Retain Audit History

Compliance teams often repeat the same investigative work across audit cycles because context from previous findings is lost between sessions. A developer built an AI-assisted compliance workflow using a memory tool called Hindsight to store and retrieve audit findings, remediation statuses, owner changes, and auditor preferences. The system uses two distinct retrieval paths — one for focused fact lookup and another for synthesising patterns across the full audit history. Each stored fact is written as a self-contained record with system name, dates, owner, and status, ensuring future retrieval does not rely on reconstructing old conversation context. The approach aims to give compliance agents institutional memory that persists beyond individual chat sessions, making audit readiness assessments more accurate and consistent.

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ProgrammingDEV Community ·

AWS Lambda MicroVMs Offer Stateful, Secure Sandboxes for AI Code Execution

Generative AI agents increasingly need to execute multi-step code tasks, but traditional serverless functions struggle to maintain state across reasoning loops. AWS Lambda MicroVMs, built on the Firecracker hypervisor, aim to bridge this gap by providing isolated, stateful sandboxes for AI-generated code execution. Each MicroVM runs within its own Linux kernel boundary, retaining RAM, local files, and installed packages for up to eight hours per session. The sandboxes support sub-second suspend and resume cycles and can scale CPU and RAM up to four times baseline during demand spikes. A production pipeline combining MicroVMs with orchestration tools like Amazon Bedrock routes agent tool calls through API Gateway and a Launcher Lambda to spin up pre-configured environments on demand.

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