Understand the runtime loops, tool execution boundaries, context packing algorithms, and evaluation frameworks behind modern coding agents and autonomous AI harnesses.
- 1 What an AI Harness Is: The Loop Around the Model Understand why a raw language model is merely a stateless next-token predictor, and discover how the runtime harness: the while loop, system prompt wrapper, tool dispatcher, and state machine: transforms static neural weights into an autonomous software engineering partner. Scheduled · November 16, 2026
- 2 Chat Box vs Agent vs IDE Agent vs Terminal Agent Compare the four foundational developer AI interfaces: plain web chat, headless autonomous agents, IDE extensions, and terminal CLI harnesses. Explore context ingestion, execution boundaries, cognitive friction, and how to select the right harness for production engineering. Scheduled · November 17, 2026
- 3 Tools, Permissions, and ‘Approve Before It Runs’ Explore the security architecture of autonomous coding agents: tool schemas, capability gating, human-in-the-loop approval interceptors, prompt injection defenses, and ephemeral container sandboxing that safeguard production infrastructure while preserving developer velocity. Scheduled · November 18, 2026
- 4 Context Packing: Repos, Files, and Memory Master the art of agent context engineering: repository indexing, AST symbol extraction, token budget allocation, tool output pruning, and multi-turn conversational memory compression that keep coding models sharp and cost-effective across complex codebases. Scheduled · November 19, 2026
- 5 Evaluation and ‘Did It Actually Work?’ Discover how elite engineering teams benchmark coding agents: SWE-bench architectures, deterministic unit test harnesses, anti-tampering test guards, pass@k metrics, and why LLM-as-a-Judge is dangerously inadequate for evaluating production code. Scheduled · November 20, 2026
- 6 Open Harnesses vs Product Harnesses Evaluate commercial coding platforms against open-source agent harnesses: Claude Code, Cursor, Aider, OpenHands, and custom in-house loops. Analyze vendor lock-in, data sovereignty, model portability, and how to architect a sovereign AI engineering stack. Scheduled · November 21, 2026
- 7 Safety: Runaway Loops, Secrets, and Destructive Commands Build fail-safe AI coding agents: circuit breakers for runaway loops, zero-trust secret protection, automated git rollback checkpoints, and multi-tier defense-in-depth safeguards that prevent financial burnout and catastrophic system destruction. Scheduled · November 22, 2026
- 8 When a Plain Chat Window Is Enough In this comprehensive series finale, discover when lightweight web chat outperforms heavy autonomous coding agents. Explore cognitive friction, permission fatigue, token economics, and master the pragmatic architect's playbook for unifying chat, IDE extensions, terminal harnesses, and headless agents. Scheduled · November 23, 2026