The AI-First Engineering Stack
A deep dive into the architecture decisions that define modern, autonomous software development. We explore the transition from traditional microservices to agent-driven workflows.
Building software used to require armies. Today, it requires a clear mind and a precise set of tools. SoloBit is an experiment in extreme leverage—a one-person studio architecting complex systems with the aid of artificial intelligence.
My engineering background taught me that complexity is the enemy of execution. By operating solo, I eliminate communication overhead, align architecture tightly with product vision, and ship at a velocity that traditional teams struggle to match. This isn't about doing everything—it's about doing the right things, perfectly.
See the work arrow_forwardA rigid, deterministic process designed for speed and stability.
Ruthless prioritization. Identifying the absolute minimum viable architecture required to deliver outsized value.
Designing data models and system interactions before writing a single line of logic. Measure twice, cut once.
High-velocity implementation. Leveraging AI for scaffolding while maintaining strict oversight of core logic.
Automated pipelines to edge networks. Zero-downtime deployments and continuous monitoring.
A curated selection of uncompromising technologies chosen for performance, type safety, and developer ergonomics.
Sound null safety and multi-platform architecture from mobile to high-performance web.
High-velocity backend services, AI agent orchestration, and robust data pipelines.
The undisputed standard for robust, relational data integrity.
Augmented intelligence for rapid prototyping and complex logic resolution.
AI Legal Assistant for automated contract review and compliance structuring.
Conversational Operating System interface for cross-platform data orchestration.
Task Management protocol utilizing biometric feedback to optimize developer state.
Expense Tracking engine with zero-shot categorization using localized LLMs.
A deep dive into the architecture decisions that define modern, autonomous software development. We explore the transition from traditional microservices to agent-driven workflows.
The mental models and tooling required to build scaleable products as a single-person studio. Leveraging LLMs as co-founders and scaling operations without scaling headcount.
Applying New York style editorial design principles to command-line interfaces. How constraints breed creativity when pixels are replaced by characters.
Revisiting the macro-trends in software architecture. Why the return to localized, edge-computed functions is inevitable for high-performance applications.
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Writing on software architecture, design systems, and the intersection of artificial intelligence and solitary craftsmanship.
We are currently accepting inquiries for Q3 infrastructure and AI system engagements.