Create a Coding Bot in 5 Minutes
TL;DR — A coding bot is created in the normal Zeptix onboarding: choose the setup mode, select the Coding Bot bot type, set the name and slug, check .zeptix.dev and then test the first code in the chat. For a real live bot, the imprint must afterwards be complete, just like for any tenant.
Concept
Coding bots are not a separate platform. You create them in the same place where you create language-model bots. The difference is the choice of bot type. This makes Zeptix use coding defaults: a different chat route, code knowledge, download artifacts and a recommended developer subdomain.
For coding bots, .zeptix.dev is the standard, because users immediately recognize that it is about development or technical tasks. Depending on your plan, you can also use other roots. .zeptix.ai is intended as a premium root for business cases.
Concrete Steps
- Open the onboarding.
- Choose Classic or Builder, depending on whether you want to start manually or be guided.
- Choose Coding Bot as the bot type.
- Assign a clear name, for example
FiveM Resource Builder. - Use a short slug, for example
fivem-builder. - Check the preview:
fivem-builder.zeptix.dev. - Create the bot and open the dashboard.
- Enter the mandatory imprint fields if the bot is to be publicly reachable.
- Test the chat with a small task.
For Advanced Users
The first test should be deliberately small. Do not ask directly for a huge framework, but for a minimal resource with three files. After that you refine via snippets and style rules. If the bot is to serve the same stack regularly, set a profile right away, for example FiveM Lua, Python, Node or Web.
The First Good Test Prompt
A good starting prompt is concrete and small. For FiveM it could be: "Create a minimal FiveM resource with fxmanifest.lua, client.lua and server.lua. It should display a short welcome message when a player joins. Then give short installation steps." This prompt is better than "Build me a complete roleplay system", because you can review the result immediately.
After the First Result
Open the ZIP, read the README and check the file names. If the bot makes wrong assumptions, add a snippet or change your style guide. Repeat the test with a similar task. Good coding bots are not built through a single perfect prompt, but through short feedback loops.
Preparing Public Use
Before you share the bot publicly, enable only what you really want to be responsible for. Check imprint, visibility, welcome text and example questions. Write in the description which languages or frameworks the bot is good at. This way you set expectations clearly and reduce wrong requests.
Acceptance Check
Before you use this bot publicly, ask yourself three questions: Does a new user immediately understand what the bot is meant for? Is there enough of your own training so that the bot does not answer only generically? Can you review the generated result before you pass it on? If any answer is no, you should keep testing the bot privately.
A good coding bot is not the bot with the longest answer. A good coding bot delivers a fitting, reviewable and transportable foundation. That is exactly why profile, snippets, domain, Credits and Artifact download are not separate topics. Together they form the product quality.
After Creation: Training Before Publishing
A freshly created coding bot can answer right away, but it is not yet your own expert. The most important next step is training. Create at least three snippets: a basic structure, a style example and an error-handling rule. This way the bot learns which output form you prefer. For FiveM this could be an fxmanifest.lua pattern, a client/server event example and a config pattern.
Set Public Visibility Deliberately
Coding bots can be private or public. Use private while you are testing. Switch to public only once imprint, welcome, example questions and first snippets are right. A public coding bot should not appear as if it guarantees flawless production code. Phrase it realistically: it creates starting points, templates and examples that must be reviewed.
Typical Onboarding Decisions
Classic is good when you already know what you want to build. Builder is good when you want to be guided through questions. .zeptix.dev is usually right for coding, .zeptix.io for general chatbots. .zeptix.ai is a business option when the presence is meant to be deliberately high-end and AI-focused.