Feb 13, 2026
Where LLMs Break: Architectural Patterns for Safe AI Integration
Stop treating LLMs like deterministic utilities. Learn the architectural patterns for building resilient, production-ready AI systems that fail gracefully.
Helmut Juskewycz · Software & AI Architecture
Calm notes on building software and AI systems that last.
Personal notes on software architecture and applied AI, with a focus on reliability, responsibility, and long-term operability.
15+
Years shipping
40+
Systems audited
3
Continents served
∞
Calm systems
Advisory
AI systems that behave
Architecture reviews, model governance, and hybrid AI stacks that keep reliability front and center.
Execution
Applied AI & backend delivery
Team enablement, PromptOps foundations, and reference implementations that stand up under load.
Partnership
Long-term CTO support
Ongoing sparring for executives who need a sounding board on AI, architecture, and organizational focus.
Latest writing
Recent field notes
Feb 10, 2026
Architecting for Uncertainty: The New Paradigm of Software Design in the AI Era
As AI moves into the core of the stack, determinism is fading. Learn how to architect resilient systems that treat uncertainty as a first-class property.
Advisory snapshot
Fractional guidance for AI-heavy teams
Whether you are modernizing a platform or introducing agentic workflows, I help teams blend calm architecture with responsible AI adoption—without derailing delivery.
- Operating model design for hybrid open-source + proprietary AI stacks.
- PromptOps, evaluation pipelines, and model governance that teams can own.
- Deep dives into backend reliability, cost curves, and Observability for inference.