Stop Designing in Pixels
Tokens are nouns. Patterns are verbs. The missing layer is grammar: a shared vocabulary that spans Figma, web, and native without breaking when someone ships a 'small' change.
Read more →Agent Teams: The Switch Got Flipped
Two weeks ago we found TeammateTool hiding in Claude Code's binary. Now it's official. Here's what changed, what didn't, and what the docs reveal about where multi-agent is heading.
Read more →When AI Isn't Fit for Purpose: Lessons from Salesforce's Agentforce Pivot
Salesforce quietly walked back autonomous AI agents to deterministic scripting. The pattern reveals when LLMs work - and when they don't.
Read more →Claude Code's Hidden Multi-Agent System
Anthropic built a full multi-agent orchestration system into Claude Code. It's feature-flagged off. The community found it anyway.
Read more →Guardrails by Default: Why AI Coding's Next Evolution Isn't Smarter Models
Factory AI's Luke predicts the future isn't more powerful models - it's AI that enforces software engineering best practices by default. Here's why that matters more than you think.
Read more →The $0 SaaS Stack: Ship Fast, Pay Later
Convex, Vite, Clerk, shadcn, Cloudflare, Resend. A modern stack where every component has a generous free tier, agents do the heavy lifting, and you don't touch infrastructure until you have paying customers.
Read more →Three Ways to Build Deep Research with Claude
From 20 lines of shell to production apps. Anthropic renamed Claude Code SDK to Agent SDK because deep research is now a first-class use case.
Read more →When Claude Needs a Second Opinion: Strategic Thinking with Codex
Claude Code loves to jump straight into implementation. Sometimes you need a model that thinks first. Here's how I use Codex for systems thinking and architecture decisions.
Read more →DeepSeek-OCR: Compressing Text by 20x Using Vision
Converting text to images for 20x token compression. Interesting research or production-ready breakthrough? A critical look at the trade-offs.
Read more →Few-Shot Learning for Document Parsing: Training AI on Human Corrections
How I built a self-improving document parser that learns from corrections without fine-tuning. The pragmatic alternative to model training.
Read more →When Not to Use AI: Two Approaches to Building AI-Powered Products
Real-time AI generation vs curated libraries: lessons from building the same product twice with radically different architectures.
Read more →How We Fixed Authorization by Moving Security from Code to Architecture
When expensive SSO was just a symptom of deeper architectural problems, we redesigned our multi-tenant system from first principles and cut costs significantly in the process.
Read more →Cascading AI Pipelines: When One Model Feeds Another
Building a multi-stage AI content pipeline where each generation depends on the last. Lessons from generating thousands of hybrid creatures with resilient error handling.
Read more →Building Real-Time Multiplayer with Firebase: What Works and What Doesn't
Real lessons from shipping multiplayer games with Firebase: what works for small groups, where it breaks down, and the scalability limits you need to know upfront.
Read more →Flutter architecture: Hooks, Functional Widget and RxDart
Flutter state management without the boilerplate using Hooks, RxDart, and Functional Widgets for reactive, testable code.
Read more →Microservices on .net core with Nancy - Part 2
Part 2: Adding inter-service communication to .NET Core microservices using HttpClient and custom logging services.
Read more →Microservices on .net core with Nancy - Part 1
Building lightweight microservices with .NET Core and Nancy framework before ASP.NET Core MVC reached maturity.
Read more →"Controllerless" views in asp.net core
Enabling frontend developers to work on ASP.NET Core views without writing C# by building custom middleware for Razor-only routing.
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