Part 8: Persistence and State - EF Core, Migrations, and Reliability
In the last part, we looked at how expressions make your workflows dynamic. Today, we are discussing the backbone of any production-ready system: Pers…
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Fire-and-forget AI engineering: letting agents ship a production app unsupervised
"An AI agent just built a production landing page, with GDPR audit logs and encryption baked in. I wasn't even at my desk." That is not a lucky one-sh…
What actually stays private on Midnight! (A builder's mental model)
Intro Coming from the XRPL, the challenge for me has been grasping what actually stays hidden on a privacy chain and how they acomplish that. On a tra…
Stop Reinventing Boilerplate: Modern Web Development Is About Orchestration
There is an old habit in web development that still feels attractive: build everything yourself. Custom boilerplate. Custom admin panels. Custom authe…
Expanding the Sovereign AI Stack: Moving the Specification from Gateway to Local Silicon
When I first introduced the Sovereign Systems Specification and released the initial foundation of the SDK, sovereign-core and its accompanying sovere…
The Difference Between a Product and Infrastructure
One of the most interesting realizations I've had while building software is that products and infrastructure are not the same thing. At first, that s…
Idempotency Lessons From an Email Agent
A customer emails your support agent at 9:14 a.m. At 9:15 they get a helpful reply. At 9:16 they get the same reply again, word for word. Nothing cras…
Your feature flag defaults are backwards in tests
Most test suites get feature flag isolation backwards. The instinct is to opt in to a feature when a test needs it. The correct default is to force th…
Building a Polymarket Trading Bot: Architecture, Execution, and Risk Management
How I built a real-time automated trading system that monitors BTC, ETH, SOL, and XRP prediction markets and executes trades based on short-lived pric…
Working With AI: What Actually Works For Me
I think a lot of people still imagine AI coding as opening ChatGPT, asking for code, and copy-pasting the result. That's not really how I work anymore…
REST vs GraphQL vs gRPC — Which One Should You Actually Use?
Every engineering team hits this conversation at some point. Someone proposes GraphQL. Someone else says REST is fine. A third person mentions gRPC an…
Room-Inspired Local Persistence in Swift: A Production GRDB Architecture
Introduction If you've built Android apps with Room, you already think in a layered persistence model: entities define your schema, DAOs handle querie…
When to Use Microservices (And When to Stick With a Monolith)
Most teams I talk to assume microservices are the endgame. Split everything into tiny services, deploy independently, scale each one separately — it s…
Caching in System Design - The Secret to High Performance
There is a point in every system’s growth where adding more servers stops being enough. You scale horizontally. You introduce load balancers. You dist…
The Thread Battle: Go Concurrency vs. Node.js Event Loop from First Principles
When building high-concurrency backend services, two ecosystems dominate the conversation: Node.js and Go (Golang). If you ask the internet how they h…
Top AI Agent Standards to Know in 2026
Protocols tell agents how to connect. Standards tell them what to know. As the agent ecosystem matures, a second layer of convergence is emerging: ope…
I'm Building an Infinite Full-Stack Assembly Line (And Why the Boilerplate Market is Dead)
Every developer knows the absolute worst part of starting a new software project.It isn't writing the features, designing the UI, or talking to users.…
Least Privilege for AI Agents: One Identity, One Scope
A team ships a support triage agent on a Friday. It works beautifully for two weeks — reads inbound mail, drafts replies, files tickets. Then a prompt…
Simulating 2G to build an offline-first sync engine in Rust for rural clinics
hey dev.to, so I am Mathéo, a 2nd year CS student at EPITECH Nancy (France). I want to share a project I have been building for the last few months: Z…
AI Claim Verification Pipeline: Stop Hallucinations Before They Reach Customers
AI hallucinations rarely look broken at first glance. They look confident, polished, and ready to ship. That is the dangerous part. A generated report…
HLD Fundamentals #3: Monolithic vs Microservices Architecture
As applications grow, one of the biggest architectural decisions is whether to keep everything in a single application (Monolith) or split it into ind…
Admin Panels Are Not Configuration Systems
I learned this the annoying way: admin panels are not configuration systems. They can become one, but not by accident. Early on, it feels harmless. So…
How to Run a Technical Debt Audit (Guide for Non-Engineer Founders)
Originally published at spectredev.xyz . Cross-posted here for the Dev.to community. Learn how to run a technical debt audit as a non-technical founde…
Building Resilient Multi-Agent Systems
Introduction AI agent systems are evolving rapidly. Today, we already see multi-agent architectures capable of solving complex problems by breaking th…
Translate Infrastructure Errors at the Adapter, Not in Your Domain
Book: Decoupled PHP — Clean and Hexagonal Architecture for Applications That Outlive the Framework Also by me: Thinking in Go (2-book series) — Comple…
Beyond the Happy Path: Lessons in Resilience and Distributed State
Reflecting on two major technical challenges from my backend engineering internship, focusing on fault tolerance, infrastructure, and distributed arch…
Building Dhrishti - Part 3: Testing on a Production Grade System
I was now done with the basic setup. However, during my time working at my startup, I have learnt to think about a project wearing multiple caps. One …
What We Learned Scanning Netflix Atlas
Clear Code Intelligence scanned a public Netflix repository: Netflix/atlas . This is not a dunk on Netflix. It is a public-code methodology test. Afte…
How To Measure AI Token Debt In A Real Codebase
AI token debt is the extra AI-agent context, repository search, inference, retry, and validation work created when a codebase is hard to reason about.…
Prompt cache, finally typed: shipping llm-ports 0.1.0-alpha.19
TL;DR. @llm-ports 0.1.0-alpha.19 ships a typed, provider-neutral surface for prompt caching across Anthropic, OpenAI, and Gemini. One optional cacheCo…