Development & Technology395 articles
Architecture, implementation, authentication, and operations. Articles to inform critical decisions in development.
The Day You Grant AI Agents Write Access — Never Treat It Like Read-Only
Having “Sign in with Google” Implemented for You — What to Look for During Acceptance Testing
When did support expire? — How to read boring major updates and EOL schedules
Who Fixes Base Image CVEs? Buildpacks Graduates from the CNCF
Do Your Contracts Specify Where Code Is Hosted? The Arrival of Cursor Origin
Lessons from Decommissioning RDS Proxy: Can You Remove What You Added?
Manuals become outdated the day they are delivered — delivering procedures in a regenerable format
Models can be swapped, but what about the interface? Recounting dependencies in LLM procurement
Accidents Happen Beyond the Endless Approval Clicks: Halting AI Agent Cascades
Watermarks on AI-generated text: How deliverable acceptance inspections are changing
Install scripts disabled by default in npm 12: Silent failures are the hardest to troubleshoot
An approach to adding zero dependency packages to business system "Export to Excel" features
Shutting down a web service is harder than launching it: Deciding exit terms during procurement
An SQLite Bug Unnoticed for 16 Years: How Far Can We Rely on the Assumption That Things "Won't Break"?
When the database exports data on its own — Silent SQL injections without UI output
Slow list pages — breaking down the cause of N+1 problems through query count
How to accept code written quickly by AI — Acceptance criteria for maintainability
Accounting software opened to AI — how much bookkeeping transcription can be handed over?
More deliverables cannot answer "why was this implemented this way?"
Phased publishing on npm: Moving away from CI-only unattended releases
Optimistic locking isn't working: Four implementation bugs leading to double bookings
When AI-generated code is delivered: The "process" boundary drawn by 3 OSS cases
Ending "We built it for Cursor so we can't migrate it" with Agent Plugins
Cloudflare OS — An internal AI platform that never hands keys to agents
AI Agent Approvals Provide No Safety Net: One in Three Overlooked
Before feeding internal Word and PDF documents to AI: anydoc unifies 14 formats into Markdown
Abandoning the assumption that npm install runs arbitrary scripts: Exploring vlt 1.0
Never let "it only slows down occasionally" go unresolved — feeding traces to AI with WPA MCP
Ending manual review of reported posts — The 3B moderation model alternative
"A Critical Vulnerability Has Been Found" — That CVE Might Not Even Exist
Production environment permissions left in contractor accounts — How to switch to "granting access only when needed"
Former employees' accounts were disabled, yet non-human IDs used by systems remain active
When the reason for raising maintenance fees is "surging CI costs": How clients can audit the details
When an Evaluation AI Escaped the Sandbox and Infiltrated Another Company: What to Decide Before Granting Permissions
Is your contractor's build environment still running on long-lived tokens? What npm and Actions countermeasures reveal
The Era of AI Finding and Fixing Vulnerabilities — What Clients Must Define in Maintenance Contracts
AI Worm Self-Replication Demonstrated in Copilot for Word: When Internal Documents Become Infection Vectors
Integrate before adding tools: how to fix a company entering the same customer name four times
Dependabot waits 3 days by default: Redesigning dependency update workflows
Showing 41–80 of 395 articles
Turning concepts into design.
Development Environment↔AI Models
Access Permissions · Data · Logs
Building an environment
to use AI internally
Internal data, development environments, and access permissions. Advancing adoption concepts into concrete technical reviews.
Compare approachesOrganize implementation requirementsTest on a small scale
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Google Workspace
administration basics
Resolving administrator uncertainties from rollout to sharing and permissions.
Pricing & rolloutSharing rulesPermissions & security
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Getting started with AI
at work
Selecting tasks to delegate, experimenting on a small scale, and operating safely.
How AI worksTesting in workflowsSafe usage
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Improvement notebook for
growing your website
Forms, usability, and updates: tackling post-launch improvements one step at a time.
Form optimizationUI refinementsUpdates & operations
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