manicode

manicode

Manicode Forge configures AI assistants with framework-specific system prompts that encode secure coding best practices to produce secure-by-default code and reduce vulnerabilities during code generation.

manicode is coding software teams evaluate for coding. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium Enterprise
#41 in Coding (41 tools)
Just launched
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Quick Overview

Best for: Coding

What it does

Coding software for decision-makers comparing workflow fit and alternatives.

Best fit

Coding

Pricing snapshot

Freemium from $1k USD / prompt (5 prompt minimum)

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manicode

Manicode Forge is a solution that configures AI coding assistants with framework-specific system prompts encoding secure coding best practices so generated code is secure from the first token. It is aimed at engineering teams and organizations that use AI models to generate code and want to eliminate security mistakes introduced by large language models. The product positions secure-by-default prompt configurations, authored guidance from security expert Jim Manico, and support for multiple languages, frameworks, and AI harnesses to help teams pilot, scale, and secure code generation across their stack.

AI coding assistant for editing codebases via natural language instructions.

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Key Features

Framework-specific system prompts

Configures AI assistants with framework-specific system prompts that encode secure coding best practices so AI writes secure code from the first token.

Authored expert prompts

System prompts and expert guidance authored by Jim Manico, encoding his secure-coding expertise directly into the AI prompts.

Secure-by-default behavior

Prompts and configurations designed to make generated code secure by default and reduce the introduction of vulnerabilities by AI models.

Multi-language support

Secure code generation support for 15 languages, including Python, JavaScript, TypeScript, Java, C#, Go, Rust, PHP, C++, Kotlin, Swift, Ruby, C, Scala, and Elixir.

AI harness integrations

Works with multiple AI harnesses and coding models (examples listed include Claude, GitHub Copilot, OpenAI Codex, JetBrains AI, Amazon Q, and others).

Framework and stack support

Support for common frameworks and stacks such as React, Spring Boot, Next.js, Express, Django, Angular, Vue, Rails, and 50+ more.

Enterprise security & provisioning

Enterprise features include SOC 2 Type II & audit logs, SSO & SCIM provisioning and dedicated solutions engineering support.

Deployment & benchmarking tools

Offers one-command installs (CLI) and provides benchmarks (Opus, GPT, GLM) as part of team offerings.

Pricing

Pilot

$1k USD / prompt (5 prompt minimum)
  • Pick prompts for a single behavior
  • Pilot design support
  • Any prompt from catalog
  • Unlimited developers, repositories, and usage

Teams

Starts at $10k USD
  • 10 prompts included
  • Unlimited developers, repositories, and usage
  • One-command installs (CLI)
  • Benchmarks (Opus, GPT, GLM)

Enterprise

Starts at $100k USD
  • Unlimited developers, repositories, and usage
  • Everything in Teams
  • Model fine-tuning support
  • SOC 2 Type II & audit logs

Use Cases

Preventing insecure AI-generated code

Use Manicode Forge to reduce security vulnerabilities introduced by AI code generation by applying secure-by-default system prompts.

Pilot and validate secure behaviour

Run a pilot by picking prompts for a single behavior (for example secure coding in Python or React) to prove results before scaling across teams.

Team-wide secure code generation

Enable ai-enabled engineering teams to ship secure-by-default code with one-command installs, benchmarks, prompt updates, and dedicated support.

Enterprise compliance and governance

Large organizations can adopt enterprise features like SOC 2 Type II, audit logs, SSO & SCIM provisioning, and model fine-tuning support for advanced security and compliance needs.

Integrations

Claude

Supported AI harness for code generation and prompts.

GitHub Copilot

Supported AI coding assistant integration.

OpenAI Codex

Supported model/harness for AI-generated code.

JetBrains AI

Integration with JetBrains AI tooling for secure prompt enforcement.

Amazon Q

Listed as a compatible AI harness.

Cursor, Windsurf, Aider, Cline / Roo Code

Additional AI harnesses listed as supported.

Frameworks (React, Spring Boot, Next.js, Express, Django, Angular, Vue, Rails, etc.)

Framework-specific prompts and guidance to produce secure code in these stacks.

Benefits

Reduces security mistakes introduced during AI code generation by configuring secure-by-default system prompts.
Encodes expert secure-coding guidance (authored by Jim Manico) directly into AI assistants.
Supports a broad set of languages, frameworks, and AI harnesses so it can secure code across your stack.
Scalable offerings from pilot to enterprise with options for prompt updates, benchmarks, and dedicated support.
Enterprise-grade compliance and provisioning features (SOC 2 Type II, SSO & SCIM, audit logs).

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Book a call or demo to discuss your needs and pilot scope (page includes 'Book a call' / 'Book a Demo' prompts).
  2. 2 Start with a pilot: pick prompts for a single behavior (for example secure coding in a specific language or framework).
  3. 3 Install and evaluate: use one-command installs (CLI) and run benchmarks; iterate and roll out prompts across teams or the organization.

Support

Docs

Documentation is available (site includes a 'Docs' link in the header).

Sales / Demo

Book a demo or book a call from the site to discuss pilots, teams, or enterprise offerings.

Dedicated solutions engineer

Teams and Enterprise plans include dedicated solutions engineering support.

API

Available: No

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