Code that heals itself.

OrchestCode utilizes a System-1 routing engine and Claude Sonnet 5.5 to build, execute, and autonomously debug entire codebases without human intervention.

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AVG. TOKENS / TASK
85k
4.2k

95% reduction in context window usage via MarkItDown & OrchestBrain routing.

RELIABILITY
100%

Strict circuit-breakers prevent infinite AI hallucination loops.

orchestcode-agent

The Dual-Engine Architecture

User Prompt System-1 Decision Router System-2 Claude 5.5 Self-Healing Loop (Tests)
01. GUARDRAIL

OrchestBrain System-1

High-speed cognitive routing. Rapidly scans the repo, verifies test integrity, and intercepts unsafe CLI commands in milliseconds.

02. REASONING

System-2 Claude

Deep architectural synthesis powered by Claude Sonnet 5.5. Generates pinpoint minimal diffs instead of costly full-file replacements.

03. EXECUTION

Autonomous Loop

Code is executed in an isolated sandbox. If it fails, the error stack is parsed and self-healed before human review is ever needed.

The Autonomous AI Factory

We've evolved OrchestCode from a single-agent loop into a complete, self-healing corporate hierarchy (Phases 1-4).

Multi-Agent FSM (Phase 3)

Zero-hallucination workflow managed by a strict Finite State Machine.

Architect → Developer → QA Tester

Experience Bank (Phase 4)

Sandbox errors are logged to an SQLite vector store. OrchestCode uses Few-Shot RAG to never make the same mistake twice.

Terminal (Deneyim Bankası)
> Sistem beklemede...

Virtual OS Paging (Phase 1)

Operating system style L1/L2 memory management. Context bloat is actively paged out to disk, maintaining an infinite context window.

AST Guardrail & Diff (Phase 2)

Say goodbye to full-file rewrites. Aider-style fuzzy diff patching backed by real-time AST syntax verification. 80% token savings.

Recent Breakthroughs

We've heavily upgraded our orchestration engine to handle massive-scale multi-agent deployments with zero conflict.

01. CONTEXT

AST Compression

Replaced raw text dumping with an AST Interceptor. Compresses a 100k-line codebase down to a 10k token skeletal map, drastically cutting LLM API costs while retaining full structural context.

02. SCALING

Git Mutex Concurrency

Upgraded to AgentGitManager with strict asyncio.Lock() implementation. 100+ AI agents can now work on the same repository concurrently with zero index.lock collisions.

03. RESILIENCE

Progress Ledger

A strict circuit-breaker mechanism (Stall Detection) that identifies when an agent enters an infinite reasoning loop (e.g., repeatedly generating the same syntax error). Halts the loop immediately.

04. COST OPTIMIZATION

Singleflight & Prompt Caching

100 agents requesting the same codebase context no longer means 100 API calls. Using the Singleflight pattern combined with Prompt Caching, 99 agents are fed from a single cache hit, slashing API costs by up to 90%.