Gumroad vs Squarespace

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).

Introducing SMS Campaigns: The Marketing Channel Your Customers Won’t Ignore

Squarespace announces the launch of SMS Campaigns, a new marketing channel integrated into its platform, allowing users to reach customers via text messaging.

August 2026 Product Updates

August 2026 Product Updates by Squarespace

Websites Are Boring — Embrace a Bifurcated Web

The author argues that widespread use of templates (Shopify, Squarespace, Webflow) and optimisation-for-conversion has homogenised websites, eroding brand distinctiveness. With the rise of AI, agents, and agentic commerce, discovery is shifting toward machine-driven flows that risk reducing websites to backend databases. The piece proposes a bifurcated web: a ‘Silent Web’ of machine-readable feeds for agents and a separate ‘Experiential Web’ focused on rich, human-first brand experiences powered by creative use of AI. The article cites industry projections for large economic impact from agentic commerce and multiple survey statistics showing consumer trust and adoption of AI shopping tools.

• The article states the rise of Shopify, Squarespace, and Webflow templates has produced mass homogenisation of websites.
• A McKinsey projection cited in the piece estimates agentic commerce could generate $1 trillion in the US B2C retail market by 2030 and $3–5 trillion globally.
• The article cites that 58% of Gen Z and millennials trust an AI agent to compare prices and recommend options.