Cloud-Native Architecture: Control Planes, Service Meshes, and eBPF Observability
A foundational source audit analyzing cloud-native systems architecture across declarative Kubernetes control loops, Linux cgroup isolation, and eBPF kernel telemetry.
Fodev JEO
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Source audits & field notes
Modern DevOps Architecture: GitOps, Infrastructure as Code, and Autonomous Pipelines
A source audit evaluating modern DevOps toolchains, analyzing declarative GitOps with ArgoCD, Terraform state mechanics, and AI-driven autonomous CI/CD pipelines.
A Systematic Taxonomy of Enterprise AI Tooling: Capabilities, Protocols, and Evals
A source audit analyzing the enterprise AI tooling ecosystem, evaluating tool retrieval, agent orchestration protocols, sandboxing, and benchmark standards.
AI Developer Productivity Tooling: Architecture of Modern Agent Runtimes
A technical source audit evaluating AI developer tools, comparing coding assistants, agent harness runtimes, local model serving, and CI evaluation gates.
Reinforcement Learning Foundations: From Bellman Optimality to PPO and DPO
A source audit analyzing the mathematical mechanics of Reinforcement Learning: Bellman equations, policy gradients, PPO, DPO, and distributed RL for LLMs.
Building an End-to-End LLM from Scratch: Analyzing Karpathy's LLM101n Curriculum
A source audit analyzing Andrej Karpathy’s LLM101n curriculum, deconstructing tokenization, C/CUDA kernel optimizations, distributed training, and alignment.
Architecting Production CI/CD Pipelines: Hermetic Builds, Quality Gates, and Safe Rollouts
A source audit analyzing modern CI/CD systems, evaluating trunk-based integration, hermetic build caching, automated quality gates, and canary deployments.
Core Data Structures Architecture: Memory Layouts, Cache Locality, and Complexity
A foundational source audit analyzing twelve core data structures through the lens of hardware memory hierarchies, CPU cache line locality, and amortized complexity.
Isolating Jupyter Runtimes: Virtual Environments, Kernelspec Protocols, and uv Toolchains
A source audit analyzing Jupyter kernelspec architecture, examining process isolation, zero-downtime virtual environment binding, and modern uv runtime tooling.
From Sequential RNNs to Transformers: Mathematics of Self-Attention and Scaled Encoders
A mathematical and architectural source audit tracing sequence modeling from vanishing gradients in RNNs to scaled dot-product attention and Transformer encoders.
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