Playbooks from the field

Technical guides that accelerate remediation

Each guide distils the audits, workflows, and communication cadences we deploy when stabilising platforms built with AI-assisted code. Use them as implementation templates with your teams.

Starter guide

Production Hardening AI-Generated React Apps

An actionable playbook covering audit checkpoints, remediation tactics, and communication plans for React teams inheriting AI-generated code.

What you will learn

Baseline bundle, runtime, and UX regressions before touching refactors.
Stabilise CI pipelines with smoke, contract, and visual coverage.
Sequence component rewrites in customer-facing priority order.

Readiness checkpoints

Performance budgets defined with shared dashboards.
Accessibility and visual regression checks automated in CI.
Session replay and tracing connected to critical user flows.

Advanced guide

Angular Modernization Playbook

Signals-first state management, zoneless rendering, and module boundaries that let Angular teams evolve without rewrites.

What you will learn

Audit zones, change detection triggers, and monolithic modules before restructuring.
Refactor to Signals alongside typed API contracts and performance instrumentation.
Roll out SSR with confidence thanks to progressive hydration and guardrail tests.

Readiness checkpoints

SSR smoke tests covering critical journeys.
Lazy loaded routes share typed contracts and analytics events.
Performance budgets enforced via automated CI reports.

Starter guide

Node.js Reliability Blueprint

Bring observability, SLOs, and chaos discipline to AI-assembled Node.js services.

What you will learn

Introduce structured logging and tracing across services.
Define error budgets and escalation runbooks with product leadership.
Automate load, chaos, and failover drills to prove resilience.

Readiness checkpoints

Latency, saturation, and error SLOs tracked in shared dashboards.
Zero-downtime deploys validated with synthetic traffic.
Runbooks linked directly to alerts with clear ownership.

Advanced guide

Python Platform Upgrade Companion

Navigate async refactors, dependency isolation, and data migrations without pausing delivery.

What you will learn

Isolate dependencies with layered containers and virtual environments.
Grow type coverage and contract tests before introducing async refactors.
Stage schema migrations with rehearsal environments and rollback options.

Readiness checkpoints

Async workloads reach parity benchmarks with legacy workers.
Observability dashboards monitor CPU, memory, and I/O across environments.
Cutover plans rehearsed with dry runs and clear rollback procedures.