Start with the workflow, not the model leaderboard
A coding agent can look exceptional in a benchmark and still be a poor fit if it only works in one editor, requires one provider account, or hides the context and tools it uses. Start by describing the work you want help with: codebase questions, planned changes, repetitive edits, reviews, or terminal-driven tasks.
Then choose an interface and permission model that support those tasks without forcing you to abandon Git, tests, or the editor you already know.
Ask five practical questions
Can you choose local and cloud models? Can you see and control what tools the agent can use? Can it work where you work—editor, terminal, desktop, or Neovim? Does it make context and errors visible? Can you keep your existing review and test process?
A tool that answers those questions well will usually remain useful as models and provider prices change. A tool that answers only one may be convenient now but expensive to leave later.
- Provider flexibility
- Local and offline capability
- Permission and approval controls
- Client portability
- Transparent context, diffs, and errors
Separate exploration from execution
You should be able to ask codebase questions without allowing file writes or terminal commands. You should also be able to move into a planned execution mode when a task deserves it. That separation makes an agent easier to trust and easier to correct.
Truss encodes that distinction with Chat, Plan, and Agent rather than treating every prompt as an autonomous request.
Optimize for a durable setup
Model providers, editor preferences, and project requirements all change. A durable coding-agent setup keeps those layers replaceable. It lets you use a local endpoint one week, a provider profile the next, and a different client without rebuilding the workflow.
That is the core of Truss: one runtime, multiple clients, provider choice, and explicit tool boundaries. It is designed to work with your development practice, not to become a walled garden around it.
Next steps
Put it to work in your own workspace.
Pick the surface that fits your day, then connect a model you control.
FAQ
Questions developers ask before switching.
Should I choose a local or cloud coding agent?
Choose based on the task. Local models can be private and offline; cloud BYOK models may offer more capability. A flexible setup lets you use both.
What matters more: autocomplete or agent tools?
They solve different jobs. An agent is most valuable when it can understand a task, inspect relevant context, and work within a clear permission and review workflow.