Day Index
A comprehensive registry of all 100 engineering patterns, failure modes, and governance lenses.
Series ProgressDay 51 of 100
Lens:
| Day | Title | Failure Prevented | Lens | Domain | Status |
|---|---|---|---|---|---|
| 001 | The Sanctity of the Environment | Dependency Hell | Reproducibility | MLOps | |
| 002 | Version Control for Data & Code | Silent Drift | Reproducibility | Data Infra | |
| 003 | Containerization Basics (Docker) | Environment Skew | Production | Infra | |
| 004 | Unit Testing for Data Science | Silent Logic Failure | Safety | QA | |
| 005 | Experiment Tracking & The 'Zombie Model' Problem | Zombie Models | Reproducibility | MLOps | |
| 006 | Exploratory Data Analysis (EDA) & Profiling | Digital Redlining | Safety | Data Science | |
| 007 | Feature Engineering & Selection | Data Leakage | Reproducibility | Data Science | |
| 008 | Baseline Models & Benchmarking | Complexity Tax | Governance | Data Science | |
| 009 | Evaluation Metrics for Business | Metric Misalignment | Production | Data Science | |
| 010 | Model Validation Strategies | Temporal Leakage | Security | Data Science | |
| 011 | Algorithmic Fairness: Auditing & Mitigation Pipelines | Deployment of Discriminatory Models | Ethics | Model Evaluation | |
| 012 | Explainable AI (XAI): From Black Box to Glass Box | Stakeholder Rejection (The Black Box Problem) | Human Factors | Model Evaluation | |
| 013 | Data Privacy & Anonymization: The Toxic Waste Model | Regulatory Non-Compliance (GDPR/CCPA) | Governance | Data Engineering | |
| 014 | Model Cards: The 'Nutrition Label' for AI | Model Misuse & Context Collapse | Ethics | Governance | |
| 015 | The Generative Shift: LLMs, APIs, and Unit Economics | Architectural Mismatch & Cost Blowout | Security | LLMs / Generative AI | |
| 016 | Cloud Infrastructure for AI: Compute, Cost, and Carbon | Bill Shock & Resource Starvation | Sustainability | Infrastructure | |
| 017 | CI/CD for ML: The Death of 'It Works on My Machine' | Manual Deployment Errors | Security | MLOps | |
| 018 | Data Lineage: The Chain of Custody for AI | The 'Orphan Model' (Provenance Collapse) | Governance | Data Engineering | |
| 019 | The ROI of AI: Translating F1 Scores to P&L | Project Cancellation (The 'Science Project' Trap) | Ethics | Strategy | |
| 020 | Phase 1 Capstone: The 'End-to-End' Production Pipeline | Integration Hell (Fragmented Architecture) | Reproducibility | Orchestration | |
| 021 | The LLM API Landscape (OpenAI, Anthropic, Mistral) | Vendor Lock-in | Governance | MLOps | |
| 022 | Prompt Engineering I: Structure & Context | Garbage In, Garbage Out (Ambiguity) | Human Factors | MLOps | |
| 023 | Prompt Engineering II: Reasoning (CoT & ReAct) | Logic Hallucination | Safety | LLMs | |
| 024 | Structured Outputs (JSON Mode & Function Calling) | Pipeline Breaks (Parser Errors) | Security | MLOps | |
| 025 | Building Conversational Memory: State Management Patterns | Conversational Amnesia (Statelessness) | Privacy (Right to be Forgotten) | Application Layer | |
| 026 | Evaluating Generative Models (Beyond Accuracy) | The 'Vibe Check' Trap | Human Factors | MLOps | |
| 027 | Automated Evaluation (LLM-as-a-Judge) | Scaling Bottlenecks (The Human Review Queue) | Governance | MLOps | |
| 028 | Embeddings & Vector Space | The Synonym Gap (Keyword Mismatch) | Ethics (Algorithmic Bias) | RAG / Search | |
| 029 | Vector Databases (Infrastructure) | Latency Spikes (The O(N) Bottleck) | Security (Tenant Isolation) | Infrastructure / RAG | |
| 030 | RAG Architecture I: The Data Pipeline & Chunking Strategy | Context Fragmentation | Governance (Data Lineage) | RAG / Data Engineering | |
| 031 | RAG Architecture II: Hybrid Search & Re-ranking | Semantic Drift (The Specificity Trap) | Reliability | RAG / Search | |
| 032 | RAG Architecture III: Grounding & Citations | Hallucinations masked as facts | Ethics | LLMs | |
| 033 | Automated Evaluation (The RAG Triad) | Vibes-based Deployment | Governance | MLOps | |
| 034 | Advanced Query Transformations | The Zero-Result Problem | Human Factors | LLMs | |
| 035 | Semantic Caching (The Cost Firewall) | Bill Shock & Latency | Security | MLOps | |
| 036 | Observability for Chains (Tracing) | Black Box Debugging | Privacy | MLOps | |
| 037 | Adversarial Defense (Prompt Injection) | The DAN Attack | Security | LLMs | |
| 038 | Privacy Engineering: PII Masking | Data Leaks to Third Parties | Governance | Security | |
| 039 | Vector Database Operations (Scale) | Metadata Explosion | Security | Data Infra | |
| 040 | The Fine-Tuning Pivot (Build vs. Buy) | Over-engineered RAG | Business Strategy | MLOps | |
| 041 | Evaluation Driven Development (EDD): Escaping Regression Roulette | Regression Roulette | Safety | LLMs | |
| 042 | Shadow Deployment: The Art of Silent Validation | Big Bang Failures | Governance | MLOps | |
| 043 | Feature Stores: The Time-Travel Problem | Training-Serving Skew | Reproducibility | Data Infra | |
| 044 | Model Monitoring: Beyond 'Is it Up?' | Silent Performance Decay | Ethics | MLOps | |
| 045 | Data Quality Contracts: The First Line of Defense | Garbage In, Disaster Out | Governance | Data Infra | |
| 046 | Model Calibration: The honesty of AI | Overconfidence | Safety | MLOps | |
| 047 | Orchestration: Taming the Cron Job Sprawl | The Cron Job Sprawl | Governance | MLOps | |
| 048 | Local LLMs: The Air-Gapped Intelligence | Data Sovereignty Violations | Privacy | LLMs | |
| 049 | Error Analysis: The feedback loop that kills stagnation | Stagnation | Ethics | MLOps | |
| 050 | The Mid-Series Capstone: The 'Production-Ready' Check | Tutorial Knowledge | Leadership | System Architecture | |
| 051 | Mechanistic Interpretability: Circuit Analysis & Model Surgery | Superficial Explanations | Safety | LLMs | |
| 052 | Counterfactual Analysis: The 'What If' Engine | Actionable Recourse Failure | Human Factors | MLOps | |
| 053 | Faithful Explainability: Probing & Lie Detection | Post-Hoc Rationalization | Safety | LLMs | |
| 054 | Fairness Auditing: Group Metrics & The Impossibility Theorem | Discriminatory Deployment | Ethics | MLOps | |
| 055 | Bias Mitigation: Re-weighting & Constraints | Baked-in Prejudice | Legal | MLOps | |
| 056 | Automated Documentation: The Dynamic Model Card | Documentation Drift | Governance | MLOps | |
| 057 | Content Provenance & Watermarking (C2PA) | Deepfake Liability | Ethics | GenAI | |
| 058 | Data Poisoning Defense: Detecting the Trojan Horse | The Trojan Horse | Security | ML Security | |
| 059 | Machine Unlearning: The Right to be Forgotten | Compliance Gridlock | Privacy | MLOps | |
| 060 | The White Box Capstone: The Audit Defense | Regulatory Shutdown | Leadership | MLOps |