pAiCoder — AI Coding Agent for Spec-First Development

45-day free evaluation · Inline completion · AWS deployment · Parallel code generation

Design from anything — a description, a doc, an architecture diagram — and pAiCoder turns it into a working spec, then code. Switch between Claude, Grok, and GPT per task: fast models for inline completion, stronger models for planning and audits. Your choice, your cost. Save up to 70% token cost!

Features

Inline Completion — Ghost-text suggestions as you type, powered by your chosen LLM
Docstring Completion — Write a docstring, press Cmd+Enter to implement the function
Spec-First Workflow — Describe, sketch, or diagram your app → SPEC.md → code → deploy
AWS Design & Deployment — Load an architecture diagram → generate CloudFormation + deploy to AWS (more cloud providers coming)
Project Chat — Full AI coding agent in VS Code and CLI (TUI)
Multi-Provider — Anthropic, xAI, OpenAI, Ollama (local) — mix and match by role

Quick Start

Install the extension
Open the pAiCoder Setup panel (Cmd+Shift+P → pAiCoder: Setup)
Add your API key(s) (Anthropic, xAI, or OpenAI). Configure LLM roles!
Open a Python file and start typing — ghost text appears automatically
Add a design story or diagram file, right-click -> "Load Design from this file"

Your Choice, Your Cost

Most AI coding tools lock you into one model. pAiCoder lets you assign different LLM providers to different roles — a fast model for inline completion, a stronger one for planning, an independent one for auditing — so cost and quality are levers you control, not fixed choices.

Recommendation: PLANNER=anthropic, CODER=xai (to get the best speed, quality, and cost)

# ~/.paicoder/.env 
# 
XAI_MODEL=grok-4.3                # (CODER) Quick, smart, cost-effective — implementation, inline completion
CODER=xai
ANTHROPIC_MODEL=claude-opus-4-8   # (PLANNER) Deep thinking and analytical — design, spec, orchestration
PLANNER=anthropic                 
OPENAI_MODEL=gpt-5.4              # (BACKUP) Intelligent and detail-oriented - design, spec, code, audit
AUDITOR=openai

Inline Completion

def multiply(num1, num2):
    ''' multiply two numbers and return the result '''
    # → press Tab to accept ghost text: return num1 * num2

Tab or Alt+\ to accept a suggestion
Disable Pylance autocomplete dropdown for best experience: "editor.quickSuggestions": { "other": "off" }

Spec-First Workflow

Start from whatever you have — a one-line description, a doc, or an architecture diagram — and pAiCoder builds out the rest:

description / diagram → SPEC.md → implementation → deployment

AWS Design & Deployment

- Add a design diagram or description file to project folder
- Right-click -> "Load-Design from this file"
  → generates SPEC.md, CloudFormation stack.yaml, deploy.sh, etc
  → deploys solution to cloud

26 deployment templates to start now — serverless APIs, containers, event-driven, data pipelines, AI/ML, and more. Free-form workflow for any comflex AWS designs. More cloud providers and templates on the way.

Evaluation License

pAiCoder is free to use for 45 days from first install. See LICENSE for details.

pAiCoder_v14

pAiCoder