What is Codespell?

Codespell is the world’s first AI-powered SDLC Copilot. It enables engineering teams to accelerate the software development lifecycle using contextual AI across design, development, testing, deployment, and compliance stages.

LLM-Powered Features

Feature

Description

AI Coding Assistant

Yes

Context-aware code generation, refactoring, and smart inline suggestions directly inside your IDE.

Inline Spells

Yes

Execute pre-built micro-prompts to fix bugs, validate inputs, or convert functions in real time.

Design-to-Code Studio

yes

Convert backend design intent into code, infrastructure, and API layers with minimal manual effort.

API Development Studio

yes

Auto-generate REST APIs, model schemas, and validation logic.

Test Script Studio

Yes

Generate test coverage with AI-powered edge case analysis.

Infrastructure as Code (IaC) Studio

Yes

Build IaC modules from architecture diagrams or YAML inputs using Terraform.

Rules Engine

Yes

Enforce coding standards, naming conventions, and best practices through LLM-triggered validations.

Terminal Debugger

Yes

Get real-time CLI-based code error resolution and recommendations.

Saved Prompts & Chat History

Yes

Personalize prompt flows and revisit prior coding interactions for reuse.

Figma-to-Code: AI-Powered UI to Backend Flow

Codespell’s Figma Plugin lets you:

Import design screens and map components
Select team/project context
Review, configure, and generate backend logic
Download output in language-specific format (e.g., Node.js, Python)

All powered by LLMs and tailored for engineering consistency.

Learn more → Figma to Code Documentation

Read Our Latest AI-Powered Engineering Blogs

Engineering Consistency at Scale June 2025 Feature Changelog Hardwiring SDLC Quality with GenAI

Data Privacy & Model Use

No user code or prompt data is used for training
All interactions are ephemeral, encrypted in transit, and securely processed
Fully compliant with enterprise policies and standards

Models We Use

Claude Models (Anthropic)
GPT Models (OpenAI)

Prompt Structure & Governance

Each feature is powered by modular, versioned prompt structures curated by Codespell’s AI Infrastructure team. Prompts are segmented by use case (Dev, QA, DevOps, C-Suite) and governed by a central prompt engine.

Want to Learn More?

Frequently Asked Questions

Q1: Does Codespell train its models on my code?

A: No. Your data is never used to train third-party or internal models. All prompts are ephemeral and encrypted in transit.

Q2: Which programming languages does Codespell support?

A: Codespell supports Python, JavaScript (Node.js), TypeScript, Java, C#, YAML, JSON, and Terraform. These languages are enabled across various modules including API generation, test automation, code assistance, and infrastructure provisioning.

Q3: Can I control or customize the LLM prompts?

A: Yes. You can configure saved prompts, reuse previous interactions from chat history, and select prompt types based on role or context — such as QA, DevOps, or full-stack engineers.

Q4: What makes Codespell different from other AI code assistants?

A: Codespell is the only full-stack AI SDLC Copilot purpose-built for enterprise teams. It spans the entire lifecycle — from design-to-code, API scaffolding, and test generation to infrastructure-as-code and deployment, all while enforcing team-wide coding standards.

Q5: How secure is Codespell’s AI system?

A: All interactions are privacy-first. No user data is stored or reused, and all communication is encrypted in transit and at rest.

Last updated: 2025-07-08