Capabilities
Sixteen capabilities, five areas
Grouped by what they solve — routing, planning, context, execution, and team learning. Each point links to a full deep dive.
Capabilities
Built for engineering teams
who take AI seriously.
16 capabilities across five areas — routing, planning, context, execution, and learning.
Model routing
Pick, tune, and delegate across model tiers.
- Prompt Optimization LayerTune prompts so cheaper models match production quality.
- Hybrid Model ArchitectureExpensive orchestrator delegates to cheap sub-agents. No wasted spend on simple tasks.
- Smart Model SelectionAuto-picks the best model per prompt, using expensive models only when needed.
- Model Limitation AwarenessKnows model limits — escalates or reroutes instead of hallucinating.
Planning & cost
Plan before you spend. Stay inside budget.
- Granular Plan ModeGenerates detailed step-by-step plans when needed, and skips planning for simple tasks.
- Pre-Execution Token EstimationSee token usage and projected cost before build commands run.
- Token Budgeting SystemSet token budgets per session, task, or team — enforced before compute runs.
- Structured Plan OutputOutputs interactive plan.html — reviewable decisions, not markdown walls.
Context & memory
Send only what matters. Control what persists.
Execution & workflow
Run, steer, build skills, collaborate.
- Interactive Think ModePause, redirect, or correct the agent mid-run — no full restart.
- Skill BuilderBuild skills with test and evaluation modes to benchmark and fine-tune behavior.
- CLI + Local Web IDEProvides a terminal CLI and localhost web IDE with embedded chat.
- AI Collaboration ModeShared agent sessions and handoffs — break out of solo AI silos.
Team learning
Shared fixes and repo-aware setup.