Technical essays on Generative AI, distributed systems, software engineering, Git, and platform tooling.

• The Enterprise AI Bottleneck Is Not the Model
• AI Safety Is Not a Checkbox: Building Guardrails That Actually Hold
• Multi-Agent Orchestration Patterns That Survived Production
• From Copilot to Cursor to Claude Code: An Honest Migration Log
• Red-Teaming Our Own AI: An Enterprise Safety Playbook
• Small Teams, Big Models: Why 15 Engineers Now Ship Like 200
• Claude Code Changed How My Team Writes Software
• The LLM Security Audit Nobody Wants to Do
• What Broke When We Let Agents Talk to Each Other
• Twelve Engineers, Three Agents, One Platform
• Beyond the LLM Monolith: How Enterprises Capture AI Value
• My Experience with Frontier LLMs: A Comparative Study
• The Agentic Shift: Building AI That Does, Not Just Suggests
• Lessons from Enterprise AI Projects
• Technical Debt in the Age of AI-Assisted Coding
• Observability for LLM-Powered Systems
• The Director's Playbook: Running Engineering at Scale
• Why I Stopped Chasing the Latest Model
• Prompt Engineering is Dead, Long Live System Design
• The Architecture of Trust: Designing Systems Humans Can Audit
• Building for India: Latency, Cost, and Regional Nuance
• Engineering Leadership: Diagnostics, Ambition, and Mentorship
• Evaluating Frontier LLMs for Enterprises
• Designing Dependable Distributed Systems
• Repository Hygiene for Distributed Infra Teams
• My Developer Environment Blueprint