Daphnis Labs

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Practical thinking on AI, products, platforms and the engineering decisions behind them.

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Software Engineering

A database backup is only useful after a restore drill

Measure recovery by restoring into an isolated environment and checking the application, roles and dependencies that need the data.

Software Engineering

Cache API responses without mixing account data

Classify responses before caching them, make cache keys reflect their audience and test what happens when permissions change.

Software Engineering

Test tenant isolation beyond the main application query

Review database roles, background jobs and exports together when designing row-level security for a shared application database.

Product Engineering

Give every release flag an owner and an expiry date

Plan rollout, fallback behaviour and flag removal together so temporary release controls do not become permanent product complexity.

Software Engineering

Start observability by following one customer request

Connect traces, metrics and structured logs around a real failure path so the team can locate an incident and choose a next action.

AI Engineering

Separate read, draft and send permissions in AI tools

Define permissions around concrete actions, and make an approval apply to the exact message or record that will be changed.

Software Engineering

Build CSV imports that preview changes before writing

Separate parsing, validation and approval so an ordinary spreadsheet upload does not become an opaque bulk edit.

Commerce Engineering

Set a performance budget for your product pages

Give images, third-party scripts and interactions measurable limits, then investigate regressions by page template and device.

Product Engineering

Accessible forms start with useful error recovery

Help people complete a form with persistent labels, specific errors, preserved answers and a clear confirmation state.

Software Engineering

Handle webhook retries without creating duplicate orders

Separate event receipt from order processing, record duplicate deliveries and recover work that stops halfway through.

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Practical perspectives on AI, product engineering, commerce and modern software delivery.