Legal AI Does Not Begin with an LLM. It Begins with a Reliable Corpus.
Legal AI systems depend on document fidelity, extraction quality, provenance and retrieval precision before generation becomes useful.
Latest article
A disciplined model for AI-assisted software development where the human remains navigator and the coding agent acts as implementation driver.
Legal AI systems depend on document fidelity, extraction quality, provenance and retrieval precision before generation becomes useful.
Event choreography can help product platforms evolve without central orchestration becoming a bottleneck, but it moves complexity into tracing, idempotency, recovery and operational understanding.
Network reliability is one of the most basic assumption mistakes made by microservices developers, let's see how to factor this unreliability when writing microservices.
Serverless Jenkins jobs via Jenkins Slaves scheduled on Fargate.
Enhancing the efficiency and reliability of microservices by setting up observability using Prometheus, Grafana.
Managing autoscaling of nodes in an EKS cluster via Karpenter.
An exploration of how enterprise codebases can be represented as structural knowledge graphs for architecture-aware AI coding agents.
activeA disciplined Claude Code pair-programming workflow where the human owns intent, constraints and decisions while the agent drives implementation.
activeAn applied AI infrastructure project exploring trustworthy retrieval and citation-aware knowledge systems for Indian case law.
active