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Use Prototypes to Plan Production Software with AI

Eight hours of planning, or fifteen minutes? Depends what you're building: Production-grade or prototype-grade. In June, I gave a talk at Agentic Bu…

Retry patterns: when you should give up (and why most code doesn't)

Originally published on Loop & Retry — field notes on building LLM agents that survive production. The retry-budget post answered the HOW: a sha…

Retry context: building observability into retry decisions

Originally published on Loop & Retry — field notes on building LLM agents that survive production. The fleet-patterns post explained the pattern…

Production-Ready AI Agents 2026: End-to-End Evaluation, Production Harnessing, and Competitive Advantage

Originally published on tamiz.pro . By 2026, AI agents are no longer experimental prototypes: IDC forecasts 60% of enterprises will have deployed at…

Why I Built a Python Catch-up for Experienced Engineers

I returned to Python and found that most learning material either started from zero or explained individual advanced features without connecting the…

The 40% Cancellation Trap: Why Agentic AI Projects Die in Production 🪤

Gartner reckons over 40% of agentic AI projects get canned by 2027. Not because the models are bad. Because nobody built the safety net. Okay so tha…

React Compiler in Production: Adoption, Measurement & Safe Rollout

Start with a user-facing performance baseline The compiler optimizes how React derives and reuses UI, so its value is most visible in interfaces tha…

Why Replit's AI Agent Deleted a Production Database

Replit's AI agent deleted a live production database in July 2025 by running unauthorized destructive commands during a code freeze, misreading empt…

Multi-Runtime Agents Without Fragmentation: The Control Plane Pattern

How teams move from "one API key per runtime" to "one gateway, any runtime" The Fragmentation Problem (July 2026) You've got a squad of coding agent…

Why Probabilistic AI Needs Deterministic Control

Most AI automation tutorials show you how to connect an LLM to a database and call it a day. That works fine for a prototype, but in production—espe…

The Hard Reality of Deploying AI Agents in Production Beyond the Demo: What Happens When AI Agents Meet Real-World Infrastructure?

Remember when everyone was building wrappers around large language models and calling them revolutionary? That era is officially over. The excitemen…

LangChain Advanced Patterns: Building Production-Grade AI Systems

Beyond Basic LangChain You've built a simple agent. Now scale it. Production LangChain systems require: Memory management Error handling Performance…

Low-Code vs No-Code Isn't Decided in the Demo. It's Decided the First Time Production Traffic Hits It.

Every low-code vs no-code debate I've watched inside an engineering org ends the same way: someone pulls up a feature comparison table, counts check…

enabling AI's Full Potential: Bridging the Gap from Sandbox to Production

Two agents, same ceiling Lovable will ship you a working prototype in a coffee break. Cursor can refactor a 200-file real codebase in an afternoon.…

Ground Control: From Google AI Studio Prototype to Local Production with Antigravity 2.0

Your multi-agent system demos beautifully in the cloud sandbox. Here's the one-click lifecycle export, the CLI bridge, and the SDK harness that land…

Why Production Bugs Always Feel Different From Local Bugs?

How I Built 5-Layer AI Quality Architecture Across 5 Production AI Systems

How I Built 5-Layer AI Quality Architecture Across 5 Production Systems By B KumaraSwamy — AI Quality Architect | Bengaluru The Problem Nobody Is Ta…

Why PCB Assembly Should Start Before Your PCB Layout Is Finished

Most hardware teams follow the same workflow: Requirements → Schematic → PCB Layout → Gerber Files → PCB Assembly On paper, this process looks perfe…

Ghost Workers: Why Your Celery Dashboard Lies to You

The scenario you've lived It's 2am. Someone pings you: emails aren't going out. You check Flower. Every worker is green; online, healthy. Queue dept…

Structured output broke on us three times. The third time taught us operator-ready.

Structured output broke on us three times. The third time taught us what "operator-ready" means. Last quarter we shipped a contract-extraction agent…

I Built an AI Pipeline for 10,000 Daily Listings. Here's What Broke at Scale.

I watched a pipeline I spent weeks building get shut down in one meeting. The AI rewrite engine for a job platform's listing descriptions was workin…

The Ultimate Guide to Production-Grade AI Agents

Production-grade AI agents are systems that execute multi-step workflows autonomously while maintaining reliability, security, and observability gua…

The Brain/Sandbox Pattern: Why Your Production Agent Needs This Architecture

When you run an agent from a prototype to production, something changes. Not the model. Not the framework. The infrastructure requirements split apa…

The 80/20 Rule of AI Code: Why Production Takes 80% of Your Time

I watched a GPT-4 function call that worked perfectly in the playground silently fail in production. The output was valid JSON. The structure was co…

ComfyUI Deploy: Choosing Between Self-Host, Serverless, and Managed (2026)

Most teams who want to deploy ComfyUI pick a platform first and figure out the consequences later. It's the wrong order. Each deployment path (self-…

The Silent Killer in Your Streaming Pipeline: Schema Evolution Without Tears

TAGS: schema,streaming,data pipelines,production Why I chose this topic: I've seen too many evenings and weekends vanish debugging why a seemingly m…

Multi-Cloud Deployment in Production: Cloud Run, Railway, Oracle Cloud

Multi-Cloud Deployment in Production: Cloud Run, Railway, Oracle Cloud Published on : 2026-06-06 Reading time : 10 min Tags : #devops #cloud #fastap…

Stopping the LLM from calling the same tool twice (and other things it shouldn't)

A user gave one of our agents this query: "Get the products from our catalog, summarize them in a nice doc, share the doc with X, and send them an e…

DevOps Dash: practice incident response on your phone

Production is green. Your coffee is hot. Then the pager goes off. DevOps Dash is a mobile on-call simulation built for anyone who has ever stared at…