THINKINGOS
A I L a b o r a t o r y
AI Methodology + Architecture

Coding agent
with methodology

TAO·CODER is not a chatbot that generates code on demand. It's a full-featured development tool with a built-in methodology. Bounded context, stage pipeline, managed memory — one developer can run multiple projects in parallel, faster, cheaper, and more reliably.

Install TAO·CODER Read the Guide
const coder = new TaoCoder();
await coder.execute(task);
mode: Architect
context: bounded

What you get for $100/mo

Methodology baked into the code

  • Not just an agent — an agent with a built-in methodology: bounded context, stage pipeline, update-cycle, check_all.sh
  • Architecture that squeezes the maximum out of fast, cheap models — you're not locked into expensive providers
  • We deliver projects to production: secure code, covered by tests, documented

Price as a pleasant bonus

  • What costs $3,000–10,000 on Claude or Cursor costs $150–300 on TAO·CODER + $100/mo subscription
  • You choose the LLM model yourself — no vendor lock-in
  • $100/mo for a professional is pocket change. 1 hour of your time costs more.

Money-back guarantee

Not satisfied or not getting results? Full refund if you've been using it for less than a month. No questions asked.

How TAO·CODER works

Bounded context

Typical agents accumulate dialog history linearly — each step adds previous messages to the prompt. The context window fills up, the model loses focus, costs spike.

TAO·CODER externalizes task memory to a structured Task Context on disk. Only the current stage, task spec, relevant code snippets, and recent dialog turns enter the prompt. History stays bounded — the model stays focused.

Stage pipeline

Instead of a free-form "ask and get" mode, TAO·CODER runs each task through formal stages. Each stage has its own toolset. During data collection, write tools are locked — the agent cannot accidentally modify code while studying the project.

Architect
Architecture, docs
Developer
Dev, audit, report
Ops
Deploy, monitoring
Debug
E2E testing
Free
Quick edits

Update-cycle

Two complementary mechanisms transfer information from dialog to long-term memory: the agent consciously records findings through tools (taocoder_add_relevant_code_ref and others), plus an automatic update-cycle periodically analyzes accumulated dialog and extracts additional facts.

check_all.sh — quality gate

A validation script that runs typecheck, linter, tests, and documentation checks. The task cannot be completed until check_all.sh passes.

Frequently asked questions

How much does TAO·CODER cost?
The extension costs $100/mo. You only pay for the code agent — you choose your LLM model and pay for it separately. A full medium project (100–150K lines) costs ~$300 total: $100/mo subscription for the agent + ~$200 in tokens (100K LOC of production code with deployment, excluding VPS cost; DeepSeek 4 Flash + DeepSeek 4 Pro combined). That's 7–10× cheaper than working in Cursor or Windsurf for the same period.
Does TAO·CODER collect my data?
No. Zero telemetry. Project files, prompts, and Task Context all stay on your machine. The only data leaving your computer is API requests to your chosen provider.
Which models are supported?
DeepSeek, Anthropic (Claude), OpenAI (GPT), Google Gemini, Qwen, AWS Bedrock, Azure OpenAI, GCP Vertex AI, OpenRouter (200+ models), Cerebras, Groq, Mistral, plus local models via Ollama or LM Studio, and any OpenAI-compatible API.
Can I use TAO·CODER in Enterprise?
Yes. Deploy local models on your own servers — data never leaves the perimeter. Full technological sovereignty. Zero telemetry. Ready for compliance audits (SOC2, ISO 27001).
What if it doesn't work for me?
Install TAO·CODER, work with it for a month. Not satisfied or not getting results? Full refund. No questions, no checklists. Just write to us.
Why the dot in the name?
TAO·CODER (with a dot) is a brand identity element. In code, camelCase is used: TaoCoder.

Ready to try?

Install TAO·CODER — it takes 2 minutes. See for yourself why professional developers choose the engineering approach.

Install TAO·CODER Read the Guide

Enterprise deployment

Need a private deployment on your own infrastructure? Use TAO·CODER with local LLMs and full data control.

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