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Reasoning-native terminal coding agent — shows causal thinking before acting

Project description

TunedAI Terminal Coding Agent

A reasoning-native terminal coding agent. It shows its actual thinking before touching any file.

Not narration. A real causal trace:

THINKING
  > test_payment_flow is failing
  > last change to payment.py was commit a3f9 — added retry logic
  > retry logic calls process() twice on timeout
  > process() is not idempotent — charges card on each call
  > cause: missing idempotency check before retry
  > confidence: 91%

ACTION
  > write_file: payment.py

Quickstart

pip install -r requirements.txt

# Set your API key
export TOGETHER_API_KEY=your_key_here

# Run
python main.py

Backends

Backend Model Set env var
together (default) Qwen3-235B-A22B TOGETHER_API_KEY
openai gpt-4o OPENAI_API_KEY
anthropic claude-sonnet-4-6 ANTHROPIC_API_KEY
local ollama / any local LOCAL_API_URL, LOCAL_MODEL
python main.py --backend openai
python main.py --backend local
python main.py --no-approval   # skip action confirmations

What the agent can do

  • Read and write files
  • Run shell commands (tests, grep, git)
  • Search code by pattern
  • Show git log for a file (traces when a bug was introduced)
  • Manage tasks

The differentiator

DeepSeek-TUI gives you a cheap terminal wrapper. This gives you a reasoning agent — one that shows the hypothesis, evidence, and conclusion before it acts. Powered by Qwen3's native <think> traces distilled into explicit causal analysis.

TunedAI Labs — tunedailabs.com

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