a
nkit
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ashisht
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#agentic engineering
Four Lenses on Explanation
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An eval can show that an AI agent failed. Four practical lenses can help explain why it failed, what the score missed, and what to fix next.
2026 · 09 · 02
5 min
ai
agents
evals
explanation
agentic engineering
Agent Loop Engineering with Claude Code & Codex
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AI made writing code fast. The harder problem now is everything around it — deciding what to build, keeping agents on track, reviewing the result, and earning enough confidence to ship.
2026 · 08 · 04
6 min
ai
agents
claude code
codex
agentic engineering
developer tools
Principles of Agentic Engineering
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Everything I've learned about building AI agents in the past few years, distilled into nine principles — the loop, tools, context, memory, sub-agents, evals, observability, and guardrails.
2026 · 07 · 16
11 min
ai
agents
agentic engineering
llm
software engineering