Ready to launch. Ready to protect your users.
Your product is ready for customers. Here’s how to check the access, data and recovery decisions that help you launch with confidence.
The engineering journalEngineering by Differently
A little clarity.
A lot of possibility.
Ideas, practical guides and considered opinions from the people building the software.
All articlesA good place to start
Does your AI agent actually finish the job?
A practical release plan for AI agents: evaluate real tasks, tool permissions, failure recovery, latency and cost before expanding access.
Connect your tools. Keep control of your data.
Plan secure MCP integrations with scoped access, token validation, tenant isolation, approval boundaries and a clear way to revoke access.
Fast code still needs careful judgment.
A practical review workflow for AI-generated code, covering acceptance criteria, permissions, failure paths, dependencies and release ownership.
Give your team time back. Keep the exceptions visible.
Design business automation that can recover from interruptions, avoid duplicate actions and hand exceptions to the right person.
WATCH & LEARN
A little insight. A better next step.
Take two minutes for a development tip from the CloudCoder video collection.
Explore development tips02 MIN / CLOUDCODERWhat we’ve been
thinking about.
16 articles
Ready to launch. Ready to protect your users.
Your product is ready for customers. Here’s how to check the access, data and recovery decisions that help you launch with confidence.
Does your AI agent actually finish the job?
A practical release plan for AI agents: evaluate real tasks, tool permissions, failure recovery, latency and cost before expanding access.
Connect your tools. Keep control of your data.
Plan secure MCP integrations with scoped access, token validation, tenant isolation, approval boundaries and a clear way to revoke access.
Fast code still needs careful judgment.
A practical review workflow for AI-generated code, covering acceptance criteria, permissions, failure paths, dependencies and release ownership.
Give your team time back. Keep the exceptions visible.
Design business automation that can recover from interruptions, avoid duplicate actions and hand exceptions to the right person.
Vibe coding. Real possibilities. Real responsibilities.
Where AI prototypes shine, where they break, and what it takes to turn an idea into a dependable product.
A common language for AI and your tools.
A practical introduction to the Model Context Protocol, from useful integrations to the security decisions that matter.
A better way to let the right people in.
What passkeys change for security, sign-in experiences and the people using your software.
When software starts doing the work.
How AI agents plan, act and check — and where people still need to be in the loop.
Big possibilities. Smaller models.
Why running AI closer to your users can mean lower costs, greater privacy and a more focused product.
AI-assisted delivery, with people at the wheel.
Five ways AI supports code, testing and debugging through a responsible engineering process.
The stack is a business decision, too.
A practical framework for choosing the tools behind your next mobile or SaaS product.
Fast is a feature your users can feel.
Understand performance testing, Core Web Vitals and the measurements worth acting on.
What useful AI looks like for a business.
Exploring AI adoption, operations and practical opportunities for Sri Lankan businesses.
From AI ambition to business advantage.
A closer look at where AI can support better decisions, better experiences and more effective operations.
Choosing the people behind your next website.
The questions, trade-offs and signals that help you find a development partner who fits.
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