pAiCoder — Spec-First AI Software Architect

A production-grade AI design and coding agent for VS Code.

Start from anything — a sentence, a document, or an architecture diagram — and pAiCoder turns it into a reviewable SPEC.md, then code, then deployment. You approve the plan before anything is built.

Built Different

SPEC-FIRST

Design Before Code

Every build starts from a living specification you can read, edit, and accept — not a black-box code dump.

MULTIMODAL

Design From Anything

Descriptions, documents, diagrams, screenshots, or existing code — pAiCoder understands the intent and the structure.

DELIBERATE

Do No Wrong

Deterministic, auditable workflows. Every step is intentional, inspectable, and reversible — no surprise rewrites.

PARALLEL

Build in Parallel

Implement a full spec with parallel sub-agents so large projects move faster without losing structure.

Build Better Software Before Writing Code

Requirements Analysis

Turn vague ideas into clear, actionable requirements your team can review and refine.

System Architecture

Design scalable, maintainable structures — components, interfaces, and deployment boundaries included.

Efficient Code Generation

Assign a fast model for implementation, then auto-audit the result before you ship.

Generate Professional Engineering Artifacts

Architecture Documents

Production-ready system design specs your team can review before implementation begins.

Cloud Infrastructure as Code

CloudFormation, Bicep, Terraform, and Kubernetes — from starter templates to free-form designs across major clouds.

Code Generation

Modern project structure, deliberate implementation, and configurable artifacts — gated by audit before deploy.

How pAiCoder Works

01 Start from a description, document, or architecture diagram

02 Load the design (pAiCoder: Load Design from File/Image)

03 Review and refine SPEC.md

04 Generate code and infrastructure artifacts

05 Fill secrets and environment parameters

06 Deploy with audit gates (aws-deploy, azure-deploy, and more)

Your Choice. Your Models. Your Cost.

Most AI coding tools lock you into one model. pAiCoder lets you assign providers by role — Claude, Grok, GPT, Meta Muse Spark, local Ollama, or a self-hosted open-source LLM. Use a fast model for inline completion, a stronger one for planning, and an independent one for audits. Save up to ~70% on tokens versus single-model tools.

Core Capabilities

Inline Completion

Ghost-text suggestions as you type, powered by the model you choose for the CODER role.

Code Quality

Code audit, security audit, refactor, adopt existing projects, and generate documentation — with one-shot fixes.

Project Chat

A full AI coding agent in the VS Code panel and CLI — design, implement, audit, and deploy from one place.

Multi-Provider

Anthropic, xAI, OpenAI, Meta, Ollama, and any OpenAI-compatible endpoint you host — mix and match by role.

Multi-Cloud Deploy

Load a diagram → generate infrastructure → deploy to AWS, Azure, Google Cloud, or Oracle Cloud.

Spec-First Workflow

Description, doc, or diagram → SPEC.md → code → deployment, with you approving each stage.

Quick Start (macOS)

Install the pAiCoder VS Code extension
Open Setup (Cmd+Shift+P → pAiCoder: Setup)
Add an API key (Anthropic, xAI, OpenAI, or Meta). Defaults: Claude for PLANNER, Grok for CODER
Open the CHAT panel (Cmd+Shift+P → pAiCoder: Open Panel) — your command center
Start typing for ghost-text completion, or load a design from a diagram or description file
Type help in CHAT for every available command, or doctor to verify your setup
See the full AWS workflow demo →