Recent Articles
5/5 - Four Layers, One Agent System: Choosing the Right Engineering Lever
A comparative field guide to prompt, context, harness, and loop engineering, including the unit of work, failure signal, owner, and practical debugging order for each layer.
4/5 - When Done Actually Means Done: Loop Engineering for Long-Running Agents
A careful guide to loop engineering: goals, progress, iteration budgets, no-progress detection, verification, pause and resume, and the controls that keep autonomous runs finite.
3/5 - The Agent's Operating System: Harness Engineering Without the Hype
A production guide to the software around an agent model: tools, permissions, state, retries, idempotency, verification, observability, and the boundaries that make action safe.
2/5 - The Working Set, Not the Window: Context Engineering for Agents
A detailed guide to context engineering: selecting, ranking, compressing, and expiring the information an agent needs on each turn without drowning the model in a giant context window.
1/5 - The Message That Survives Reality: Prompt Engineering for Working Systems
A practical, production-minded guide to prompt engineering: composing instructions, examples, constraints, schemas, and tests that remain reliable when models, users, and tools vary.
21/21 - Below PyTorch: Profiling, Compilation, and CUDA Kernel Optimization
A production-focused guide to below pytorch: profiling, compilation, and cuda kernel optimization, with architecture, capacity math, failure analysis, and operational controls.
20/21 - The Ground Beneath AI: Linux, Networking, and Storage
A production-focused guide to the ground beneath ai: linux, networking, and storage, with architecture, capacity math, failure analysis, and operational controls.
19/21 - Shipping Models Like Software: CI/CD, MLflow, and Registries
A production-focused guide to shipping models like software: ci/cd, mlflow, and registries, with architecture, capacity math, failure analysis, and operational controls.
18/21 - Assume the Prompt Is Hostile: Security and Guardrails
A production-focused guide to assume the prompt is hostile: security and guardrails, with architecture, capacity math, failure analysis, and operational controls.
17/21 - From Kafka to Tokens: Streaming Data and Online Inference
A production-focused guide to from kafka to tokens: streaming data and online inference, with architecture, capacity math, failure analysis, and operational controls.