Blog
Field notes on shipping AI-native systems with human engineering judgement: architecture, modernisation, automation, and the tradeoffs in between.
Avoid Strangler Fig failures in the first 90 days: practical milestones, routing and boundary fixes, feature-flag hygiene, observability, and ownership.
Use context-rich prompts, focused roles, and structured output to get actionable AI feedback on PR diffs, security, performance, and logic.
An 8-step AI prompt workflow that turns rough ideas into structured PRDs, user stories, edge-case checks, and prioritized features.
Use precise AI prompts to map, test, and safely fix legacy code-surface assumptions, generate characterization tests, and minimize risk.
Nine copy‑paste AI prompts to debug React, migrate components, write tests, boost performance, and improve accessibility.
Handover checklist to ensure operational independence, reduce post-handover incidents, and let teams run outsourced code day one.
Practical framework to vet frontend partners for complex state: map state domains, test architecture, performance, testing, and governance.
Week 1 onboarding for outsourced frontend teams: risk mapping, env setup, UX handoff, communication rules, and a first merged PR.
Compare augmentation vs dedicated squads for unstable frontends: risks, onboarding, retention, and cost.
A modular, JSON-based open standard slashes integration costs, speeds SaaS development, and enables modular pricing in construction.
Six-stage pipeline for extracting pharma secondary sales from PDFs/Excels, covering failures, validation, reconciliation, and monitoring.
What auditors check in a Document AI system: retention tiers, tamper-proof logs, role and attribute access control, model governance, and vendor BAAs/DPAs.