# Automated prompt engineering

Published articles for Automated prompt engineering.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Promptimus: Improving already good LLM prompts with zero manual engineering

DevFeed: [Promptimus: Improving already good LLM prompts with zero manual engineering](<https://devfeed.tech/articles/promptimus-improving-already-good-llm-prompts-with-zero-manual-engineering-7605.md>)

Original publisher: [Read original article](<https://www.amazon.science/blog/promptimus-improving-already-good-llm-prompts-with-zero-manual-engineering>)

Author: Zhengyuan Shen; Yunfei Bai; Sullam Jeoung; Shuai Wang

Published: 2026-05-14T13:47:45Z

Content type: article

Language: en

Sources: [Amazon Science homepage](<https://devfeed.tech/sources/amazon-science-homepage.md>)

Topics: [Automated prompt engineering](<https://devfeed.tech/topics/automated-prompt-engineering.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [automated-prompt-engineering](<https://devfeed.tech/tags/automated-prompt-engineering.md>), [code-generation](<https://devfeed.tech/tags/code-generation.md>), [conversational-ai](<https://devfeed.tech/tags/conversational-ai.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [llm](<https://devfeed.tech/tags/llm.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>), [prompt-optimization](<https://devfeed.tech/tags/prompt-optimization.md>)

### AI overview

Promptimus is an automated prompt-engineering method for improving already strong prompts without manual engineering. It uses task data, user-defined performance metrics, failure analysis, debugging agents, sanitization, and targeted edit mode to refine prompts while preserving working business logic. The method is model agnostic and supports textual and multimodal LLM tasks, including classification, extraction, generation, summarization, code generation, and tool use.

### Source excerpt

By focusing on specific failure points and suggesting targeted solutions, a new automated prompt-engineering framework improves prompt performance without compromising existing functionality.