These aren’t ideas. They’re working products powered by Wippy.
Most companies talk about “AI integration.” We talk about AI agents doing real work.
While others are still testing copilots and chatbots, we’ve seen companies radically improve software development workflows with autonomous, self-modifying AI agents running in production. Not prototypes – actual shipped tools solving painful problems for engineering teams.
Below are three agent templates – built with Wippy – that you can steal, adapt, and deploy in your product or dev environment right now.
1. CodeMind: The AI Codebase Translator for Legacy and Complex Projects
Problem it solves:
Developers waste weeks trying to understand legacy codebases before they can ship anything. Institutional knowledge is stuck in tribal memory or scattered documentation. And onboarding new devs takes way too long.
What the agent does:
- Parses your codebase, architecture, and documentation.
- Answers questions like:
“Where is the logic for discount calculation?”
“How does the auth system flow from login to access token?” - Suggests large-scale refactors, validates impact, and can even execute structural changes autonomously.
- Visualizes architectural patterns and warns when they’re being violated.
Best for:
Enterprise teams inheriting large or poorly documented codebases, or startups scaling beyond their original architecture.
How to use this agent:
- Connect it to your repo and onboarding documentation.
- Set up a read-only mode for new engineers to explore safely.
Give tech leads the ability to accept/refactor directly from AI prompts.
2. TestForge: The Self-Healing Test Suite That Never Goes Out of Sync
Problem it solves:
Most test suites rot. Developers hate writing tests. And when something breaks, half the time it’s the test – not the code.
What the agent does:
- Auto-generates tests for new code based on behavior and history.
- Detects broken or brittle tests after code updates and self-corrects.
- Runs vulnerability scans and creates fuzz tests where needed.
- Prioritizes high-impact areas based on user behavior or production data.
Best for:
Startups growing faster than their test coverage or enterprise teams tired of flaky test suites.
Pro tip:
Add Wippy’s TestForge agent to your CI/CD pipeline to monitor test health and notify developers when something smells off – before they push to prod.
3. DevCompanion: Your Personal AI Pair Programmer (That Actually Gets You)
Problem it solves:
Generic AI copilots don’t understand your company’s code style, architecture, or workflow. They’re helpful, but shallow. Developers spend more time correcting than creating.
What the agent does:
- Learns your personal coding style, framework preferences, and team conventions.
- Auto-suggests code snippets tailored to your app, not random GitHub examples.
- Integrates with your issue tracker and Slack for real-time context.
- Automates your routine tasks like renaming variables across files, generating scaffolding, or committing with smart messages.
Best for:
Solo developers, small product teams, or companies tired of hiring more developers just to move faster.
Bonus:
The more you code, the smarter this agent gets. It learns not only how you write code – but why.
Why These Agents Work (and What You Can Learn from Them)
These aren’t just bots spitting out code. They’re agentic systems:
✅ Context-aware – They know your systems, your users, your language.
✅ Self-improving – They refine behavior over time without constant re-training.
✅ Isolated + Observable – They run safely in environments like Wippy Runtime, giving you version control and real-time logs.
✅ Composable – Each of these can be extended into a workflow with other agents or external APIs.
Want to test one? We’ll help you prototype a version for your product in under a few days.
Bonus Agent Template: “Onboarding Whisperer”
Every SaaS product struggles with activation. This agent gets users to value faster:
- Guides new users inside your app like an intelligent coach.
- Helps them set up integrations, configure workflows, or skip repetitive tutorials.
- Answers product-specific questions in natural language.
- Boosts activation and reduces support tickets.
Perfect for: SaaS teams focused on product-led growth, reducing onboarding drop-off, or scaling without support headcount.
The Takeaway
If you’re thinking about AI and stuck on models, prompts, or generic copilots – zoom out.
You don’t need more AI tools. You need working AI agents that operate like products: focused, testable, trackable, and evolving.
That’s what Wippy is built for.
Want to steal one of these templates? Or build your own?
Let’s design your first real agent together.
