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Insights

Insights from the engineering floor.

Technical explainers on the decisions that shape systems — written by the people making them, not by a marketing team.

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6 technical explainers.

Evergreen engineering writing. Publication dates are not shown because none have been verified — the content is maintained rather than dated.

AI Engineering

What separates an AI agent from a chatbot

The difference is not the model. It is the tool layer, the permission boundary and the audit trail — which is also where most of the engineering effort goes.

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SaaS Engineering

Choosing a multi-tenancy model for SaaS

Shared schema, schema per tenant, or database per tenant. The decision shapes migrations, isolation, cost and enterprise sales — and it is expensive to revisit.

Read

Integrations

Designing integrations that fail safely

Every external system you depend on will be unavailable at some point. Whether that becomes an incident is decided by design, not by luck.

Read

Cloud Architecture

Cloud migration without a cutover weekend

Big-bang migrations concentrate all risk at the moment you have the least room to recover. Sequencing removes that concentration.

Read

Data Engineering

Data quality is the ceiling on AI quality

Retrieval systems inherit every duplicate, every stale record and every undocumented definition in the data they read. The pipeline work usually has to come first.

Read

Case Studies

Building compliance automation on top of systems you do not control

When the authoritative data lives in two vendor platforms, the engineering problem shifts from storage to synchronisation, mapping and making failure visible.

Read

Category

AI Engineering

AI Engineering

What separates an AI agent from a chatbot

The difference is not the model. It is the tool layer, the permission boundary and the audit trail — which is also where most of the engineering effort goes.

Read

Category

SaaS Engineering

SaaS Engineering

Choosing a multi-tenancy model for SaaS

Shared schema, schema per tenant, or database per tenant. The decision shapes migrations, isolation, cost and enterprise sales — and it is expensive to revisit.

Read

Category

Cloud Architecture

Cloud Architecture

Cloud migration without a cutover weekend

Big-bang migrations concentrate all risk at the moment you have the least room to recover. Sequencing removes that concentration.

Read

Category

Integrations

Integrations

Designing integrations that fail safely

Every external system you depend on will be unavailable at some point. Whether that becomes an incident is decided by design, not by luck.

Read

Category

Data Engineering

Data Engineering

Data quality is the ceiling on AI quality

Retrieval systems inherit every duplicate, every stale record and every undocumented definition in the data they read. The pipeline work usually has to come first.

Read

Category

Case Studies

Case Studies

Building compliance automation on top of systems you do not control

When the authoritative data lives in two vendor platforms, the engineering problem shifts from storage to synchronisation, mapping and making failure visible.

Read

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