Fiverr vs Gumroad

Fiverr's Spoof Skincare Brand Rrelief Targets Work Stress

Fiverr has launched a satirical skincare brand, Rrelief, positioning it as a remedy for work-related stress. The campaign includes products like an anti-aging cream and a brightening concentrate, packaged with Fiverr credits worth $250 to encourage users to delegate tasks to freelancers. The humorous angle suggests that the best way to reduce stress is to outsource work, not to apply skincare. The campaign features unboxing videos from skincare creators Liah Yoo and Jasmine Phipps. Fiverr is giving away 14 kits with a total of $3,500 in credits via social media from September 28 to October 2, 2026. The creative work is directed by Nir Refuah and seeks to reposition Fiverr as a platform for reliable freelance talent, not just cheap gigs.

• Fiverr launched a spoof skincare brand Rrelief to promote work stress relief through delegation.
• The campaign includes anti-aging cream and brightening concentrate, each kit containing $250 in Fiverr credits.
• Fiverr is giving away 14 kits, totaling $3,500 in credits, via social channels from September 28 to October 2, 2026.

Fiverr Releases Its 2025 Impact Report

From its largest business accelerator cohort to-date to strengthening AI oversight policies, Fiverr is showcasing its expanded efforts, impact, and support for entrepreneurs and AI governance

90% of SMEs Affected by Cyberattacks

A Kaspersky study cited by Retail-News reports that 90% of surveyed small and medium-sized enterprises (SMEs) in Europe experienced at least one security incident within a year. The research finds that human factors — insufficient IT security knowledge, weak security culture, and poor organizational structures — are more often blamed for successful attacks than missing security technologies. Phishing affected 23% of respondents, AI-based attacks 18%, while vulnerabilities, business email compromise, supply-chain attacks and deepfakes each affected about 15%. Around 74% of surveyed companies have increased cybersecurity spending, investing in personnel, hybrid/cloud protection and security training; 65% plan further security investments. Kaspersky recommends combining modern security software with regular employee training, automated backups, strict access controls and email protection.

• Kaspersky study: 90% of surveyed European SMEs experienced at least one security incident within a year.
• Phishing affected 23% of companies; AI-based attacks affected 18%; vulnerabilities, BEC, supply-chain attacks and deepfakes each affected about 15%.
• 24% of companies cite insufficient IT/security staff knowledge as the greatest risk; only 16% attribute successful attacks to missing security solutions.

AWS Skills Developers Should Master in 2026

This article outlines the core AWS skills developers and cloud engineers should prioritize in 2026. It argues that understanding cloud architecture and how services combine is more valuable than memorizing individual services. The post covers foundational topics (EC2, S3, RDS, VPC), operational patterns (load balancing, auto-scaling, monitoring, security), and modern approaches (serverless with Lambda, containers/Kubernetes, Infrastructure as Code with Terraform). It recommends a phased learning roadmap from fundamentals to production readiness and emphasizes hands-on projects, automation, observability, and secure design. The author also links to paid learning resources for further study.

• The article recommends core AWS skills including EC2, S3, RDS, VPC, load balancing, auto scaling, Lambda, containers/Kubernetes, security, and monitoring.
• It advocates combining AWS with tools like Terraform, Docker, Kubernetes, Git, and CI/CD to build cloud-native systems.
• The post presents a phased learning roadmap from fundamentals through production (regions/AZs, IAM, core services, architecture, automation, monitoring).

Five Checks to Validate AI-Generated SQL

This technical guide explains five quick checks to verify results produced by AI-generated SQL queries. It warns that a running query only proves syntactic correctness and outlines practical tests: (1) compare row counts before and after joins to detect fan-out, (2) watch for NULLs breaking NOT IN filters (use NOT EXISTS), (3) ensure filters sit in WHERE vs HAVING appropriately, (4) confirm the denominator used by averages or percentages, and (5) ask the AI to read the query back clause-by-clause. The author cites the BIRD benchmark (Li et al., 2023) showing large gaps between model and human execution accuracy and provides examples and remediation patterns to avoid incorrect analytics numbers.

• The article provides five checks to validate AI-generated SQL before trusting numeric results.
• Check 1: count rows before and after each JOIN to detect fan-out that inflates SUM/AVG values.
• Check 2: NOT IN fails if the lookup contains NULL; use NOT EXISTS or clean the lookup table instead.

Stop Claude Code agent writing outside directory

The article explains two complementary guardrails for preventing unattended Claude Code agents from writing files outside an intended directory: declarative permission rules in settings.json (permissions.deny) and a programmatic PreToolUse hook that inspects pending tool calls and can deny writes. It details how deny/allow precedence makes an allow-list impossible with permissions.deny alone, shows a Node.js hook implementation that defers on malformed payloads and denies out-of-scope writes, and warns that hooks cannot see writes from Bash commands, subagents, or generated build artefacts. As a post-hoc check, the author recommends running a git-status diff against an allow-list before committing to catch any changes the hook missed. The piece clarifies these measures are not an OS sandbox and outlines trade-offs such as failing-open behavior.

• Claude Code uses permission rules in settings.json with Tool(specifier) entries and precedence: deny > ask > allow.
• permissions.deny is a block-list and cannot be used to construct an allow-list for fine-grained in-project write scoping.
• A PreToolUse hook can intercept tool calls (Write, Edit, MultiEdit, NotebookEdit) and return structured JSON with permissionDecision (allow/deny/ask/defer).