Development & Technology194 articles
Architecture, implementation, authentication, and operations. Articles to inform critical decisions in development.
Articles are ordered by popularity over the past 30 days.
Who Fixes Base Image CVEs? Buildpacks Graduates from the CNCF
How to accept code written quickly by AI — Acceptance criteria for maintainability
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
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
Production environment permissions left in contractor accounts — How to switch to "granting access only when needed"
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
Integrate before adding tools: how to fix a company entering the same customer name four times
Accepting custom-built software: what buyers should verify during user acceptance testing
When told "we will build it with that tech" — 3 criteria clients must evaluate
Beyond "I Can't Put What I Want Built into Words" — How to Commission System Development in an Era When AI Aids Requirements Definition
When an enterprise system demands an Excel-like data grid: build from scratch or integrate a library?
Integrating AI agents into business operations — criteria for choosing custom-built vs. managed platforms
.NET 8 and .NET 9 end of support — Evaluating impact on your organization and deciding by November
Before outsourcing enterprise mobile apps: Do you truly need native? Cost and maintenance criteria
"Development teams will shrink" — Gartner's forecast and how SMBs should choose development partners in the AI era
Before AI unblushingly lies — How to build business AI without relying solely on LLMs
How many service account keys have you distributed? The choice of keyless integrations
Automating shopfloor "paper and Excel" with IoT: what to handle with no-code and when to turn to custom development
Delivery is not the finish line: what clients must look for in system maintenance and operations contracts
When told "We'll build it with agile": how clients should choose a development approach
Why systems commissioned and "built fast with AI" become expensive later — the reality of code that costs money to delete
The delivered system feels surprisingly slow — The culprit might be network distance, not underpowered servers
Lost Contact with Your Development Agency? How to Commission Work without Vendor Lock-In
Should You Build a Reservation System or Is Off-the-Shelf SaaS Enough? How to Decide Before Commissioning Development
When Code 80% Written by AI "Rots" Within Six Months — What Clients Must Know Before Handing Off to Custom Development
Workflows running on Excel and GAS: When should SMEs transition to a full system? Evaluation criteria
Smart Investments in Business Systems via Digitalization and AI Implementation Subsidies 2026: Eligibility, Application Process, and Partner Selection
Business system maintenance costs — The real nature of monthly expenses and contracts that prevent stagnation
Migrating away from legacy business systems: How to order without data migration accidents
The Core Systems No One Wants to Touch — Framing Technical Debt as Business Risk in Procurement Decisions
Overcoming stateless Lambda limits: Lambda MicroVMs as a third alternative
Buyer's Guide to Outsourcing System Development Without Mistakes: Pricing Benchmarks, Contract Models, and Requirement Definition Fundamentals
"Build vs. Buy" in the Age of AI — How to Segment Business Systems
Distributing CSVs is difficult: Key design points for business data handoffs
Inheriting "over-abstracted code" — The courage to revert to duplication
Showing 121–160 of 194 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
Read series