Secure vibe coding
Fast prototypes need real evidence before they become systems.
Vibe coding is changing how software gets started. The next step is making AI-built work observable, bounded, and reviewable enough to trust.
See agent docsBuilder reality
The first release is about logging because that is where trust starts.
TN-Proto's initial release is focused on logging for vibe coders. It gives builders a practical path to capture what agents and AI-built systems did while prototypes mature.
Vibe coding is useful because it shortens the distance between idea and working software. That speed also creates a new problem. If the system touches data, calls tools, or affects a workflow, the team needs to know what happened.
Secure vibe coding starts with visibility. Which agent made the call? Which data was exposed? Which tool ran? Which user approved the action? Which event should be reviewed if something goes wrong?
What to log
Capture the moments that change trust.
Agent action
What did the agent do?
Record prompts, tool calls, commands, generated outputs, and workflow actions that matter.
Data boundary
What could it see?
Track the fields, records, files, or API responses visible to the agent or AI-built system.
Review path
Who can trust the output?
Keep approval, rejection, escalation, and exception data connected to the event.
Protocol direction
Logging is the entry point. The protocol is transaction-based.
Builder-focused logging is the first practical surface. The broader TN-Proto direction is more rigorous: transaction events that carry identity, policy, data visibility, and audit evidence across people, systems, agents, and workflows.
That distinction matters. A log tells you what a system wrote down. A transaction event can become the shared record of what happened, who or what caused it, which data was visible, and which policy made the action permissible.
- Use the Free tier to explore protocol concepts and hosted tools at tn-proto.org.
- Use the Business tier, currently free, to test agent workflows and MCP server patterns.
- Use the agent skills docs to connect logging patterns to real AI development work.
FAQ
Common questions.
What makes secure vibe coding useful?
Security matters, but the larger goal is trust. Teams need evidence that helps them improve, review, and scale AI-built systems.
How is this different from ordinary app logging?
Ordinary logs often track system behavior. Secure vibe coding also needs agent behavior, data exposure, tool context, and human review evidence.
Where does MCP server logging fit?
MCP servers are a natural point to capture tool use, agent intent, permission checks, and event evidence before an agent action moves downstream.
Related paths