Agentic AI Governance #3 — Bounding Authority: Deciding What an AI Agent May Never Do

Agentic AI Governance #2 — The Agentic Failure Map: What Actually Goes Wrong

Agentic AI Governance #1 — Your Agent Is an Actor, Not a Model: Authority, Evidence, Accountability

Forward Deployed Engineer #20 — Becoming an FDE: From Your IT Job to Your First Deployment

Forward Deployed Engineer #19 — How FDE Engagements Fail: The Four Failures That Feel Like Good Work

System Design Basics #30 — Putting It All Together: Design a Photo-Sharing App End-to-End

Forward Deployed Engineer #18 — Handoff and Productization: Making One Solution Serve Many

System Design Basics #29 — Back-of-the-Envelope Estimation: Sizing a System Before You Build It

Forward Deployed Engineer #17 — Managing the Customer: Trust, Expectations, and Saying No

System Design Basics #28 — Adding AI to a System: Inference, Embeddings, and GPUs

Forward Deployed Engineer #16 — Proving It Works: Evaluation, Guardrails, and Running It Live

System Design Basics #27 — Cost: The Constraint Nobody Draws on the Whiteboard

Forward Deployed Engineer #15 — The AI Delivery Stack: What You Actually Assemble

System Design Basics #26 — Observability: Logs, Metrics, Traces, and Knowing When You're Down

Forward Deployed Engineer #14 — Rollout: The Last Mile from Demo to Daily Use

System Design Basics #25 — Deploying Safely: Rollouts, Feature Flags, and Rollbacks

Forward Deployed Engineer #13 — Deploying Inside Someone Else's Walls: Environments, Security Review

System Design Basics #24 — Security Basics: Who Are You, What May You Do, and Where Do Secrets Live

Forward Deployed Engineer #12 — Where the Data Actually Lives: Systems of Record, Freshness, and the

System Design Basics #23 — API Gateways, Rate Limiting, and Idempotency: Guarding the Front Door

Forward Deployed Engineer #11 — Prototyping on Real, Messy Data: Why the First Export Lies to You

System Design Basics #22 — Monolith vs. Microservices: The Split Everyone Overdoes

Forward Deployed Engineer #10 — Scoping the MVP: The Smallest Thing That Proves It

System Design Basics #21 — Search and Ranking: Finding Things in a Pile of Data

Forward Deployed Engineer #9 — The Spec That Passes the Handoff Test: Turn Discovery Into Something

LLMOps #16 — Migrations, Incidents, and the Feedback Flywheel: Closing the Loop in LLM Ops

System Design Basics #20 — Real-Time Explained: WebSockets, Polling, SSE and Push Notifications

Forward Deployed Engineer #8 — Defining Success Before You Build: The Sentence That Ends Discovery

LLMOps #15 — Agent Ops: Operating a System That Takes Actions

System Design Basics #19 — Distributed Transactions and Sagas: Doing Two Things in Two Places

Forward Deployed Engineer #7 — Discovery III: Patterns, Not Anecdotes — Turn Interview Notes Into Fi

LLMOps #14 — LLM Guardrails: Input Checks, Output Checks, and Failing Safely

System Design Basics #18 — Event-Driven Architecture: Pub/Sub, Streams, and Eventual Everything

Forward Deployed Engineer #6 — Discovery II: How to Run the Interview

LLMOps #13 — Cost, Caching, and Model Routing: Making LLMs Affordable at Scale

System Design Basics #17 — Message Queues: Decoupling Systems With Async Processing

Forward Deployed Engineer #5 — Discovery I: Who Feels the Pain, and Where the Data Lives

LLMOps #12 — Serving and Latency: Where the Seconds Actually Go in an LLM Request

System Design Basics #16 — CDNs and Blob Storage: Serving Files and Photos at Scale

Forward Deployed Engineer #4 — The Anatomy of an Engagement: Day 0 to Day 120

LLMOps #11 — Fine-Tune, RAG, or Just a Better Prompt: Making the Decision Properly

System Design Basics #15 — The CAP Theorem: Consistency vs. Availability, Honestly

Forward Deployed Engineer #3 — The Traits That Actually Predict Success: Why Two Identical Resumes E

LLMOps #10 — Keeping Knowledge Fresh: Sync, Staleness, Deletion, and Permissions in RAG

System Design Basics #14 — Consistent Hashing: Adding a Server Without Moving Everything

Forward Deployed Engineer #2 — FDE vs. Every Other Role You've Heard Of: Where the Line Actually Is

LLMOps #9 — RAG in Production, Part 2: Retrieval Quality

System Design Basics #13 — Sharding and Partitioning: When One Machine Isn't Enough

Forward Deployed Engineer #1 — What Is a Forward Deployed Engineer? The Last Mile Is a Job

LLMOps #8 — RAG in Production, Part 1: The Pipeline Behind One Answer

LLMOps #7 — Observability and Tracing: Seeing Inside a Single Request

LLMOps #6 — LLM-as-a-Judge: How to Judge the Judge (Evaluation, Part 2)

LLMOps #5 — Evaluation, Part 1: How Do You Know Your LLM System Is Any Good?

AI Engineer Interview: Agents #1 — What an Agent Actually Is: and When Not to Build One

LLMOps #4 — Prompt Management: Treating Prompts Like Code

AI Engineer Interview: Context Engineering #4 — When Context Goes Wrong: Poisoning, Handoffs, and De

LLMOps #3 — Nondeterminism: Why the Same Question Gives You a Different Answer

AI Engineer Interview: Context Engineering #3 — Tools and MCP: The Function-Calling Surface

LLMOps #2 — The LLM App Lifecycle: The Gap Between a Demo and a Product

AI Engineer Interview: Context Engineering #2 — Memory: Short-Term, Long-Term, and the 200-Turn Conv