finger jonathan@haasholdings.com
Jonathan Haas
Plan:
I’m the founder of Deixic. I’m building it so the next AI task can use what your team learned from the last one. You shouldn’t have to give an agent the same context or correct the same mistake every time.
I love building stuff. I made Kestrel because I wanted an assistant that knew what I was working on. There’s more on GitHub, or you can read more about me.
Recent writing
- The Real Work of Orchestrating AI Coding Agents
Three concurrent coding agents taught me the actual bottleneck: not prompting, but assignment, evidence, review, and release control.
- Building Kestrel: A Context-Aware AI Desktop Assistant in One Session
How I built a full LittleBird clone with screen context reading, meeting recording, arena mode, and MCP tool support — from scratch to packaged .app in a single coding session.
- DiffScope: What Happens When You Give a Code Review Agent Real Context
Most AI review tools see a diff. DiffScope sees the diff, the callers, the type hierarchy, the team history, and knows when to shut up. Here is how.
- The 10-Minute AI POC That Becomes a 10-Month Nightmare
Five lines of Python and an API key produce a working demo. The gap between that demo and a production system contains failure modes the prototype...
- Why Your AI Strategy is Actually a Spreadsheet Strategy
Most enterprise AI transformations are solving problems that spreadsheets handle at 1/50th the cost. The misalignment is driven by career incentives,...
- The AI Agent Gold Rush: Why Everyone's Building Picks and Shovels
Most AI agent infrastructure is premature. The agents themselves barely work. The industry is selling Formula 1 equipment to people still learning to...
- From Consumer NUC to Production-Grade Homelab: My Journey with Proxmox and Infrastructure as Code
How I transformed two ASUS NUC 15 Pro+ machines into an enterprise-grade homelab using Proxmox, Terraform, Ansible, and 100% Infrastructure as Code
- The CLI Renaissance: How AI is Driving the Command Line Revolution
AI coding assistants output shell commands, not GUI instructions. That single fact is reversing a decade of developer tooling trends.
- Building a Developer Environment That Actually Works: My Dotfiles Journey
Most developer environments are optimized for keystrokes. The actual bottleneck is context transfer between you and your AI tools.
- Useful AI Code Review Needs Product Context
AI review only becomes valuable when it can reason about behavior, blast radius, user impact, and the evidence required to trust a change.