Computational Advertising (1) Introduction to Ad Business
A business and systems introduction to internet advertising, including the marketplace, advertiser incentives, and platform constraints.
Archives
Archives
A language-filtered archive view with dates, summaries, and topic cues.
A/B Testing (2) Challenges in A/B Testing
A deeper look at difficult A/B testing cases such as interference, long-term effects, triggering, surrogate metrics, and cluster design.
A/B Testing (1) A/B Testing from 0 to 1
A practical introduction to A/B testing, experiment design, guardrails, and how product teams should interpret evidence.
Causal Inference (1) What is Causal Inference
An introduction to causal inference, including confounding, selection bias, counterfactual thinking, and the role of randomized experiments.
Recommender Systems 101 (3) Algorithmic Frontiers
A survey of advanced recommendation models, multi-objective optimization, representation learning, and real-time system evolution.
Context Management
*Earlier in this chapter, [How Coding Agents Work](how-agents-work.md) showed you the agent loop: read context → plan → act → observe → repeat. The quality of that loop depends almost entirely on the "read context" step. Get context right, and agents produce remarkable work. Get it wrong, and no…
How Coding Agents Work
*In [Chapter 1](../01-prompt/README.md), you learned to communicate with coding agents — giving them context, writing clear prompts, and building persistent memory systems. Now, let's look under the hood: what actually happens when you press Enter?* *From simple autocomplete to autonomous digital…
Human-Agent Collaboration Modes
Coding agents do not remove engineering judgment. They amplify it. The practical skill is knowing when to explore with an agent, when to turn intent into a spec, when to let the agent execute, and when to slow down for verification. The old question was whether you should "vibe code" or "spec…