Writing about production AI systems, system design, and lessons learned from building platforms at scale.
Anthropic released Claude Opus 4.7 on April 16, 2026. A hands-on look at what changed, how it compares to Opus 4.6, the new xhigh effort level and task budgets, and what the Project Glasswing safeguards mean for production AI systems.
A comprehensive guide to architecting type-safe microservices using tRPC, Prisma ORM, and Node.js. Learn patterns from Asynq.ai and Modelia.ai's studio platform to achieve 40% performance improvements.
Learn techniques to improve database performance by 40%. Real-world examples from production systems at Asynq.ai and Modelia.ai handling millions of requests daily.
Modern strategies to build blazing-fast React applications. From code splitting to memo patterns, real techniques from building EduFly and GyanSathi LMS.
From development to production: containerization strategies that ensure consistency, security, and scalability. Lessons from deploying EduFly on AWS.
Master the new App Router, Server Components, and data fetching patterns. Everything you need to build production-ready Next.js applications.
Insights from building frontend interfaces at Bharat Electronics Limited (BEL) for the Indian Airforce — rigorous processes, reliability, documentation, and the weight of critical systems.
Implementing effective caching patterns that reduced our API response times by 60% at Asynq.ai. Learn cache invalidation, TTL strategies, and common pitfalls.
Go beyond basics with discriminated unions, template literals, and conditional types. Real patterns from enterprise codebases at Modelia.ai.
Cost-effective cloud architecture that grows with your startup. How I architected EduFly to serve 15K+ users on AWS with 99.9% uptime.
Automate your deployment pipeline from testing to production. Real workflows from EduFly, Asynq.ai, and Modelia.ai deployments.
How we built autonomous AI agents at Asynq.ai and Modelia.ai that reason, plan, and execute multi-step tasks. Practical patterns for tool use, memory, orchestration, and guardrails in production agentic systems.
How we use Anthropic's Claude API to power agentic workflows at Modelia.ai — from tool use and extended thinking to structured outputs and multi-turn agents. Practical patterns for building reliable AI agents with Claude.
Lessons from running agentic AI systems at scale — how we handle failures, monitor agent behavior, manage costs, and scale from single agents to multi-agent pipelines at Modelia.ai and Asynq.ai.
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