Sandbox Untrusted Code Execution
Contain what your agent runs: isolated execution environments with resource limits, network policy, and workspace mounting done right.
The Route
0/4 verifiedChoose the isolation and define the policy
Decide what the boundary must hold before building it.
Build the sandboxed executor
Same tool interface, contained blast radius.
Enforce and verify the network policy
Default-deny, with every exception named.
Attack it, then tune the ergonomics
Trust the boundary only after it has survived you.
Context Pack
Paste this first. It briefs the AI on requirements, constraints, and the Definition of Done before your first build prompt.
Paste this into your AI builder first. It teaches the AI what you want before you give it the build prompt.
Related routes
More Harness Engineering flows that share ground with this one.
Assemble Tool Prompts Dynamically per Environment
Stop shipping one static mega-prompt: generate tool prompts from environment conditions, inject blocks only when features are on, and dedupe config to save tokens.
+1 more steps to Done
Best forproduction-grade builds with strict verification
Cost Control: Model Routing and Effort Tiers
Route work to the cheapest model that can do it and match reasoning effort to task difficulty - with quality guardrails.
+1 more steps to Done
Best forproduction-grade builds with strict verification
Design Layered Tool Prompts with Preference Chains
Structure your tool prompts the way the leading harness does: preference chains up front, usage constraints in the middle, NEVER-guarded safety protocols at the end.
+1 more steps to Done
Best forbuilders who have shipped a basic app before