AI has become part of a developer’s daily toolkit. From generating boilerplate code and fixing bugs to writing documentation and refactoring components, developers now depend on AI tools throughout the day.
According to the 2025 Stack Overflow Developer Survey, 84% of developers already use or plan to use AI tools in their development work. Around 51% of professional developers say they use AI tools every day, which shows that AI is no longer a research and development activity. It is a part of actual development work.
Many developers also report clear productivity gains when AI is used well. Industry studies show that developers often feel faster and see productivity improvements of up to ~55% with AI assistance.
But there is a problem most people do not talk about. As AI usage increases, so does the effort spent writing AI prompts. Developers repeatedly explain project structure, tech stack, rules, and context. Instead of saving time, prompt writing can slowly become repetitive and frustrating.
That is exactly the problem Mantis aims to solve with predefined AI prompts, and with the latest v4.1.0 release, we’re introducing the prompt library.
Why prompt writing becomes extra work?
At first, writing prompts feel simple. But in real projects, it’s rarely just:
“Create a dashboard component.”
Developers often need to explain:
- The project structure
- The tech stack
- Naming conventions
- API patterns
- Authentication flow
- Database schema
- UI standards
- Business logic rules
And they end up repeating this context multiple times a day.
Instead of AI saving time, developers spend extra minutes describing the same product details over and over. Prompt writing becomes another task on the to-do list.
What “Predefined Prompts” mean in Mantis?
Predefined prompts in Mantis are ready-to-use AI instructions built specifically around how Mantis works.
They already contain:
- Product structure
- Feature expectations
- Technical conventions
- Output formatting rules
- Business logic assumptions
Developers don’t need to explain everything from scratch. The intelligence is embedded in the prompt itself.
How agents.md gives AI full product context?
Mantis includes an agents.md file that acts as a structured knowledge guide for AI tools.
This file helps AI models to understand:
- How Mantis is organized
- How features are structured
- How modules interact
- What standards should be followed
- How data flows across the system
Instead of feeding the same product explanation repeatedly, AI models read from agents.md and instantly understand the environment it’s working in.
This dramatically reduces context repetition and improves output consistency.
How these prompts work with any LLM?
One of the key advantages of Mantis’s predefined prompts is flexibility.
They are not locked to a single AI provider. Since the prompts already include complete product context, they can work with any major LLM or AI coding assistant.
Whether a team uses one AI tool today and another tomorrow, the prompts remain effective because the intelligence is built into the instructions themselves not dependent on a specific platform.
Predefined prompt levels in Mantis
Free Prompts: What developers get with the free product?
The free version of Mantis includes essential predefined prompts that help developers:
- Generate standard features
- Scaffold common components
- Follow a consistent project structure
- Reduce repetitive explanations
This ensures that even individual developers and small teams benefit from structured AI assistance.
Paid Product: Full access to all Prompts!
The paid version unlocks the complete library of predefined prompts, including advanced prompts designed for handling complex and repetitive work.
These advanced prompts are built for:
- Multi-step feature generation
- Complex business logic handling
- Advanced form management
- Data-heavy dashboards
- Repetitive enterprise workflows
Instead of manually guiding AI through complicated sequences, developers can rely on structured prompts that already understand the depth and repetition involved in large-scale projects.
How predefined AI prompts improve developer productivity?
When developers stop worrying about how to phrase prompts, they gain back mental bandwidth.
They spend:
- Less time explaining
- Less time correcting AI misunderstandings
- Less time rewriting outputs
- Less time repeating context
And more time:
- Building features
- Solving real product problems
- Improving performance
- Shipping faster
The result is not just faster coding…it’s smoother workflow management!!!
Why product-built prompts are more reliable?
Generic prompts often lead to inconsistent results because they lack product awareness.
Product-built AI prompts in Mantis are:
- Context-aware
- Standardized
- Tested against real workflows
- Structured around actual product architecture
This makes outputs more predictable and reduces the trial-and-error cycle that developers often face with generic AI usage.
Who this is made for?
Predefined prompts in Mantis are designed for:
- Individual developers who want faster workflows
- Startups building MVPs quickly
- Agencies delivering multiple client dashboards
- Enterprises managing large admin systems
- Teams building scalable admin panels
Anyone working on structured, feature-heavy applications benefits from reducing prompt overhead.
Closing
AI should help you write code faster, not slow you down. You should not have to stop and rewrite the same prompt again and again or think about how to ask a question just to get a decent answer.
With predefined AI prompts in Mantis, you can stay focused on building features. You do not need to explain the same context every time. The AI already understands your workflow and gives useful responses.
At the end of the day, Good development is not about smarter AI. It is about workflows that help you work faster and stay focused.
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