Long-form notes on software and AI engineering.
2026
Agent Platform That Builds Itself
I'm sharing my foundational agent platform that builds itself.
Auto-Improving Software
Coding agents have changed how we build software. Now they're changing how we improve it. In this post I share an agent platform that coding agents build, run, and improve on their own.
How to Build an Agent Platform
A unified agent platform you can run locally or on Railway for $20/mo. Runtime, evals, scheduler, interfaces, and a Claude Code loop that recursively improves your agents.
Context Providers
A thin layer between agents and tools that fixes context pollution, scope collisions, and prompt bloat.
Dynamic Software
For fifty years, software has been static. Then 2024 happened. The control flow came alive and a new category of software was born.
Scaling Agentic Software
What is the simplest architecture for running a multi-agent system at scale?
Dash: The Data Agent Every Company Needs
A self-learning, multi-agent data system. Free, open-source, runs in your cloud, lives in Slack.
Systems Engineering
The Key To Building Agentic Software That Works
Agentic Software Engineering
Building, running, and scaling agents as production services
The Programming Language for Agentic Software
The agentic era requires new primitives, a new execution model, and new runtime contracts
Build Your Own Multi-Agent System
Build a production-grade multi-agent system. Run locally using docker and deploy to production on Railway.
Evals Don't Give You a Working Product
Two years and billions in funding later, 80% of AI projects still fail. Are evals the solution or the problem?
Learning Machines: Technical Design
How Learning Machines work under the hood.
Learning Machines: Why AI Memory Hasn't Been Solved (Yet)
Every AI memory system I've used is missing something.
2025
Memory: How Agents Learn
How to build agents that are not only capable, but learn and improve over time.
GPU Poor Continuous Learning with Gemini 3
How to make agents better without fine-tuning or retraining. System-level learning that actually works.
Self Learning Research Agent That Tracks Consensus Over Time
Build a self-learning research agent that captures consensus, explains what changed, and improves over time.
Self Improving Text2Sql Agent with Dynamic Context and Continuous Learning
Learn how to build a text-to-sql agent with dynamic context and poor man's continuous learning.
Agent Security 101
Stop sending your agent transactions to telemetry services. Give your Agents a database and keep your data private.
WTF are Agents?
Understanding Agents by mapping out how they work.
Agent Engineering 101
A practical guide to Agent Engineering: the intersection of software, systems and security engineering.
Agentic Culture
An open-source experiment in collective memory and in-context cultural accumulation for multi-agent systems.
Becoming AI-first
Lessons from 100s of conversations on AI products and how teams are adopting AI.
Introducing Agno
The multi-agent framework, runtime, and UI built for speed.