Blog
Notes from the field: cloud, AI, leadership, and building startups.
Google BeyondCorp Zero Trust: Setup & Architecture Guide
Replace your VPN with GCP BeyondCorp zero trust access. Step-by-step IAP setup, access level design, device posture policies, and a phased migration plan from VPN.
Multi-Database Strategy: Choosing the Right Database for Each Access Pattern
A decision framework for polyglot persistence — when to use relational, document, graph, time-series, key-value, and search databases, with real production trade-offs.
Managing AI Agent Costs: Token Budgets, Caching Strategies, and Model Routing
Reduce AI agent costs by 40-60% with token budgets, semantic caching, model routing, and prompt optimization strategies for production deployments.
Building Production Voice Agents with OpenAI Realtime API and WebRTC
Build low-latency voice agents using OpenAI Realtime API with WebRTC, interruption handling, and production deployment patterns for conversational AI.
Managing AI-Augmented Teams: The Engineering Manager''s Evolving Role
How the engineering manager role is changing as AI tools reshape team dynamics, with data on new skills needed, team structures, and management practices.
Building Data Pipelines with Natural Language Specifications in Kiro
How Kiro translates data pipeline requirements into production-ready Step Functions, Glue jobs, and EventBridge rules — from plain English to deployed infrastructure.
Edge AI Inference: Reducing Power Consumption by 95% Through On-Device Processing
Edge AI inference reduces power consumption by 95% vs cloud. Analysis of on-device processing, hardware NPUs, model optimization, and IoT deployment strategies.
Evaluating AI Agent Performance: Frameworks, Metrics, and Production Testing Strategies
Build comprehensive evaluation frameworks for AI agents with task-level metrics, regression testing, and production quality monitoring strategies.
Token Lifecycle Management for 50M+ Daily API Calls: OAuth at Scale
Building a token management system handling 50 million daily API calls with sub-millisecond validation, automated rotation, and zero-downtime revocation
AWS Keyspaces: Serverless Cassandra for High-Write Workloads
Migrating from self-managed Cassandra to AWS Keyspaces for event streaming workloads — throughput benchmarks, CQL compatibility, and cost modeling at 500K writes/sec.
Multi-Agent Collaboration: When Specialized Agents Outperform a Single Generalist
Design multi-agent systems with orchestration patterns, communication protocols, and benchmarks showing when collaboration beats single-agent approaches.
The Technical Debt Time Bomb: When AI-Generated Code Creates More Problems Than It Solves
Analysis of how AI-generated code accumulates technical debt differently than human code, with data on maintenance costs and mitigation strategies.
We Tested Our Disaster Recovery Plan Live. It Failed. Here Is What We Fixed.
A candid postmortem of a failed DR test: what broke, recovery time gaps we discovered, and the systematic fixes that brought our RTO from 4 hours to 38 minutes.
Orchestrating Multi-Agent Workflows with Claude
How we built a multi-agent system where specialized Claude agents collaborate on complex tasks, achieving 3.2x throughput improvement over single-agent approaches.
Semantic Caching That Cuts LLM Costs by 40%
Building a semantic cache for LLM responses — embedding-based similarity matching, cache invalidation strategies, and production implementation patterns.
FLOPS Per Watt: Tracking AI Chip Efficiency from K80 to B200
AI chip efficiency improved 50x from K80 to B200 in FLOPS per watt. Detailed analysis of NVIDIA GPU generations, power trends, and hardware roadmap.
Security Architectures for AI Agents: Sandboxing, Boundaries, and Threat Models
Design production security boundaries for AI agents with filesystem sandboxing, network policies, execution isolation, and defense-in-depth patterns.
Calculating Agentic AI ROI: A Framework for Engineering Leaders with Real Numbers
Comprehensive ROI framework for agentic AI investments covering cost modeling, value quantification, risk adjustment, and payback calculation with production benchmarks.
AWS DMS Continuous Replication for Hybrid Cloud Architectures
Building reliable continuous replication between on-premises databases and AWS using DMS — handling schema drift, network failures, and validation at scale.
Engineering Team Burnout Prevention Systems
How to build organizational systems that prevent burnout rather than relying on individual resilience, including early detection, workload management, and sustainable pace practices
Crafting the Technical Narrative That Helped Us Raise $12M Series A
How to build a compelling technical narrative for fundraising — the architecture story, defensibility framing, and data presentation that convinced investors.
Generating CloudWatch Dashboards from Service Descriptions with Kiro
How Kiro creates comprehensive observability dashboards from natural language service descriptions, ensuring every service ships with proper monitoring from day one.
Scaling an Engineering Team from 5 to 30 Without Losing the Plot
The systems, hiring principles, and cultural habits that keep an engineering organization fast as it grows, from a CTO who has lived through the transitions.
Carbon-Aware AI Workload Scheduling: Training Models When the Grid Is Greenest
Carbon-aware scheduling reduces AI training emissions by 20-40%. Implementation guide with real-time grid data, scheduling algorithms, and measured results.
OpenAI Codex for Autonomous Software Development: Capabilities, Limits, and Production Use
Evaluate OpenAI Codex for autonomous software development with benchmarks on code quality, test generation, and multi-file changes at scale.
Building Resilient AI Gateways with Multi-Provider Fallback
Architecture and implementation of production AI gateways — rate limiting, circuit breakers, multi-provider failover, and cost-aware routing for LLM APIs.
Building an AI Pricing Optimization System
Architecture for dynamic pricing systems using demand forecasting, price elasticity modeling, and reinforcement learning for revenue optimization
Chaos Engineering That Found 12 Critical Failure Modes We Never Anticipated
How systematic chaos experiments in production uncovered hidden dependencies, cascade failures, and timeout misconfigurations across our distributed system
Software Engineering in 2030: A Data-Driven Projection of AI Role in Development
Evidence-based projection of how agentic AI will transform software engineering by 2030 covering team structures, skill evolution, and development workflow changes.
AI Integration as Product Strategy
A practical framework for integrating AI capabilities into your startup product without chasing hype or over-investing in technology that does not serve users
