Technical writing by named senior engineers.

AI Engineering

Production LLM systems: RAG, agents, evals, fine-tuning, vector retrieval, and the engineering decisions that decide whether AI ships.

Platform Engineering

Internal developer platforms, golden paths, paved roads, Backstage, and the developer-experience discipline that turns ten teams into one.

Cloud Native & Kubernetes

Kubernetes deep dives, service mesh, eBPF, operators, multi-cluster topologies, GitOps, and the operating discipline production K8s requires.

Observability & SRE

OpenTelemetry, distributed tracing, SLOs, error budgets, incident response, on-call discipline, and chaos engineering.

Database Engineering

Postgres deep dives, schema design, zero-downtime migrations, query tuning, replication topology, and vector database architecture.

Distributed Systems

Consensus protocols, sharding, event-driven architecture, CQRS, sagas, CRDTs, and the consistency trade-offs distributed systems force.

Infrastructure as Code

Terraform, Pulumi, OpenTofu, Crossplane, policy-as-code, drift detection, and IaC at team scale without DynamoDB state lock contention.

Performance Engineering

Profiling, latency budgets, memory engineering, caching strategy, AI inference performance, and the load-testing discipline that catches regressions.

Security Engineering

Software supply chain, secrets management, zero-trust architecture, threat modelling, SBOM, sigstore, and secure-by-design discipline.

Frontend Engineering

React Server Components, Next.js, edge runtimes, Web Vitals, hydration strategy, and the frontend architecture decisions that scale.

Backend & API Design

REST, gRPC, GraphQL, async patterns, queue topology, idempotency, rate limiting, and API contract design that ages well.

Data Engineering

Data pipelines, dbt, lakehouse architecture, Kafka, Flink, streaming vs batch, and the data-quality discipline production analytics requires.

MLOps & ML Infrastructure

Feature stores, model serving, training infrastructure, drift monitoring, GPU scheduling, and the MLOps stack that holds up to audit.

Languages & Runtimes

Rust, Go, TypeScript, Python, Bun, Deno: language deep dives, runtime internals, and performance comparisons grounded in production.

Architecture & System Design

Domain-driven design, event sourcing, modular monolith vs microservices, and the architecture decision frameworks that hold up under scale.

Enterprise Platforms

Microsoft (D365, Power BI, Fabric), Salesforce, ServiceNow, SAP: platform implementation engineering, integration, and customisation discipline.