Development & Technology395 articles
Architecture, implementation, authentication, and operations. Articles to inform critical decisions in development.
Common AI Integration Standard MCP Updated on July 28 — Will Your Commissioned Internal Integrations Keep Running?
How far has "on-device AI" come? — Gemini Nano v3 and the 12 GB barrier
Who oversees the security of AI-written code? Security auditing for Claude Code
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?
Before Claude Code spreads unchecked across your organization — Consolidating enterprise rollout with SSO, budget caps, and controls
AI drafts requirements, Claude implements — What clients need to know about navigating "AI-first development"
Rethinking in-house vs. outsourced infrastructure through CloudFormation Express
.NET 8 and .NET 9 in Internal Systems Reach End of Support in November 2026: What Clients Must Check Right Now
The Era of "Leaner" Development Teams: How SMBs Should Re-Evaluate In-House Versus Outsourced Development
"Why Update When It Still Works?": How to Prepare for System End of Support (EOL)
Integrating AI agents into business operations — criteria for choosing custom-built vs. managed platforms
.NET 8 and .NET 9 reach end of support in November — What user enterprises need to decide now
Eliminating Person-Dependent Bottlenecks with AI: How to Organize Internal Manuals and SOPs
Embedding ChatGPT across sales teams: Designing workflows that go beyond handing out accounts
.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
What is a vulnerability assessment? | Types, typical costs, tools, and how small businesses should choose a provider
"Development teams will shrink" — Gartner's forecast and how SMBs should choose development partners in the AI era
Is AI-generated code safe to run directly in production? Cloud Run sandboxing and key practices for secure execution
"Subsidies for Websites" Are No Longer Approved — Where to Use the AI Adoption Subsidy 2026
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
Before Saying "We Want to Automate Too": How to Decide Which Tasks to Tackle First
When business systems built on kintone or no-code reach their limits: How to assess when to rebuild
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
Before Connecting Internal AI Agents to Business Systems: Essentials of Permission Management (MCP Authorization)
Lost Contact with Your Development Agency? How to Commission Work without Vendor Lock-In
Which country's servers receive the data provided to generative AI used in business?
Don't Take "We're Reviewing Code" at Face Value in Commissioned Development: Only Two Types of Feedback Truly Work
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
Showing 81–120 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
Read feature 
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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