Prompt Mining With Roo Code And Bolt.dev: Shipping Vibe Coding With Real Prompt Discipline
Tools
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Prompt Mining, Engineered
Prompt Mining For Stable LLM Behavior
Prompt mining turns real task traces into reusable prompt templates. PromptMining.com maps that workflow end-to-end: system prompts, agent prompts, evaluation, versioning, and the tooling layer that keeps output stable as models change.
A prompt miner's workflow
SYSTEM: You are a prompt miner. Extract reusable templates.
TASK:
- Input: real task traces
- Output: prompt template + eval criteria
CONSTRAINTS:
- Prefer schemas
- Avoid drift
- Measure quality/cost
RETURN JSON ONLY.System prompts
Agent prompts
Prompt evals
Versioning
Latest
Featured Blog Posts
Foundations of Prompt Mining In The Age of LLMs
Guides
Artificial intelligence has a new interface: Prompts.
Applied Prompt Mining In Research And Forecasting
Research
When most people think about prompt engineering, they imagine copywriters tweaking instructions for chatbots.
LLM Prompt Mining And Optimization Frameworks
Guides
Under the hood of every impressive AI demo is something deceptively simple: a prompt.
Prompt Mining With Cursor: Turning AI Coding Into A Prompt Advantage
Tools
AI-assisted coding has exploded from a niche developer curiosity into one of the most commercially important categories in the LLM world.
Logo Grid
9 Top Prompts Companies
A quick scan across posts, startups, investing, and glossary terms.
What it is
Prompt Mining Overview
Prompt mining is the process of extracting reusable prompt patterns from real work: task traces, evaluation logs, tool calls, and the messy edge cases that break brittle instructions. It is not “write a clever prompt once.” It is a loop: generate candidates, test them, select winners, and keep mining as models and requirements change.
Prompt engineering is how you shape those patterns into operational prompt templates: system prompts that define constraints, agent prompts that coordinate tools, and output schemas that downstream code can parse safely. The goal is reliability: fewer retries, fewer regressions, lower token cost, and predictable structure.
If you are new, start with the deep primer: Foundations of prompt mining. Then use the PromptMining glossary to ground terms, browse AI prompts startups to see the market, and explore AI startup investing for deal and thesis coverage.
Startups
Startups Highlight
Profiles of prompt-first products, LLM platforms, and prompt tooling companies.
Adobe Firefly
Adobe Firefly is a commercially oriented generative AI suite integrated into Creative Cloud workflows, emphasizing safe and licensable generation.
Airtable (AI Features)
Airtable's AI features help teams generate, summarize, and classify data inside structured databases.
Alphabet / Google (Gemini)
Google's Gemini ecosystem spans consumer assistants, Workspace integrations, and developer platforms that pair frontier models with search, maps, and enterprise data.
Amazon (Bedrock)
AWS Bedrock provides a managed platform to access and orchestrate multiple foundation models with enterprise-grade security, observability, and integration with AWS data.
Investing
Investing Highlight
Funding and market notes for prompt and LLM-adjacent rounds, with prompt engineering context.
Adept AI
Adept AI is notable because it sits at the intersection of capital intensity and prompt-first product design: as models, agents, and multimodal systems mature, different.
Anduril
Anduril is notable because it sits at the intersection of capital intensity and prompt-first product design: as models, agents, and multimodal systems mature, differenti.
Anthropic
Anthropic is notable because it sits at the intersection of capital intensity and prompt-first product design: as models, agents, and multimodal systems mature, differen.
Aptos Labs
Aptos Labs is notable because it sits at the intersection of capital intensity and prompt-first product design: as models, agents, and multimodal systems mature, differe.
Glossary
Glossary Highlight
Agentic Workflow
An agentic workflow is a multi-step LLM system that plans, acts, and iterates to accomplish goals, often using tools and memory.
AI Prompt Mining
AI Prompt Mining extends prompt mining by using LLMs and auxiliary models to generate, mutate, and rank prompt candidates automatically.
Automatic Prompt Engineer (APE)
Automatic Prompt Engineer (APE) refers to methods that automatically generate and select prompts for a task, typically by using an LLM to propose candidate instructions.
Chain-of-Thought Prompting
Chain-of-thought prompting is a technique that encourages intermediate reasoning steps before final answers, often improving performance on multi-step logic, math, and p.
Citation Prompting
Citation prompting instructs the model to attribute claims to specific sources-retrieved documents, URLs, or internal knowledge base IDs-improving trust and auditability.
Constitutional Prompting
Constitutional prompting encodes a set of explicit principles (a "constitution") into the prompt to guide model behavior toward safe and helpful responses.
Context Distillation
Context distillation is the process of compressing or summarizing large context into a smaller, higher-signal representation that fits within token limits while preservi.
Context Window
The context window is the maximum number of tokens an LLM can attend to in a single request, including system messages, user inputs, retrieved documents, and tool traces.
Cost Optimization
Cost optimization is the reduction of total LLM spend while maintaining or improving output quality.
Partnership
Partnerships
PromptMining.com is being built as a serious media and tooling property for prompt mining, prompt engineering templates, system prompts for agents, and LLM prompt evaluation. If you are interested in partnership or acquisition discussions, reach out via the site chat widget.
SEO
Prompt Mining For Repeatable Prompt Templates
Prompt mining is how teams turn ad-hoc prompting into a repeatable system: mine winning instructions from real tasks, distill them into prompt engineering templates, and keep them stable with prompt versioning and regression tests.
If you work with agents, system prompts are the control surface: they define constraints, tool calling rules, and output schemas. To keep agents reliable, pair prompt templates with LLM prompt evaluation and test suites that detect drift across model updates.
Links: Blog, AI prompts startups, AI startup investing, Glossary.
SEO
System Prompts For Agents And LLM Prompt Evaluation
System prompts for agents should be treated like code: versioned, reviewed, and tested. Prompt mining supplies the raw material - the patterns that actually work in production - while prompt evaluation turns those patterns into measurable artifacts.
Use the blog for guides, the glossary for definitions, and the startups and investing indexes to track the prompt tooling ecosystem.
Links: Blog, AI prompts startups, AI startup investing, Glossary.