Devtor

LLM ORCHESTRATOR

Overview01 Plan First02 Route Intelligently03 Execute & Learn
Overview
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.
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.
Smart Context ManagementOnly pass context relevant to the latest prompt — not the full session history.Context & Memory ControlAdd or remove context and memory to control what the model sees.
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.
Cross-User LearningIndexes resolved failures org-wide, like Stack Overflow for AI agent runs.Automatic Repository RulesGenerates repo rules from your codebase patterns on init.
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Capability

Cross-User Learning

When one instance solves a problem, all instances benefit.

Summary

Indexes resolved failures org-wide, like Stack Overflow for AI agent runs.

The problem

Every engineer repeats the same agent failures. Fixes stay siloed in individual sessions.

How Devtor solves it

Resolved challenges are indexed in a shared knowledge layer. When a similar task appears, Devtor retrieves proven fixes — like Stack Overflow, but for your team's agent runs.

Benefits

  • Indexed failures and resolutions across the org
  • Automatic retrieval on matching task patterns
  • Fewer repeated mistakes on known problems
  • Institutional memory that compounds over time

Use cases

  • Onboarding new engineers to proven agent workflows
  • Shared fixes for flaky CI or infra agent tasks
  • Org-wide patterns for framework-specific quirks

Part of the orchestration flow

03
Execute & Learn

Run once. Route smarter next time.

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PreviousStructured Plan Output
NextModel Limitation Awareness

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Installation guide and CLI — coming soon.

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