Applied AI Engineering
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Serious notes for teams shipping AI into production.

Applied AI Engineering publishes practical, source-backed issues on evals, agents, product systems, and the operating work behind reliable AI.

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57.3%

Agents in production

LangChain survey respondents reporting production agent deployments.

46%

Distrust AI accuracy

Stack Overflow respondents skeptical of AI output accuracy.

$4B

Coding-tool spend

Menlo Ventures estimate for 2025 coding-related generative AI spend.

Issue one

Coding-agent evals are the first trust loop.

  • Public benchmarks for market orientation.
  • House tasks for product truth.
  • Production traces for the failures nobody predicted.
Evaluation coverage map for coding agents
The first issue gives readers a practical eval stack, failure taxonomy, starter scorecard, and release gate checklist.
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