AI Coding Assistant
Use AI to code, debug, and solve programming issues. Quick to set up and free to start.
Create an AI Coding Assistant
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Your next hire isn’t human. These teams know.

Easy as one, two, three.

Create an AI Coding Assistant

Try for free

Describe your agent

Ask Lindy what to do and watch it build your Agent in minutes.

Connect your apps

Hundreds of integrations available.

Let AI do the work

Give custom instructions to your agent, all in natural language.

Use-cases

How can Lindy's AI Coding Assistant help you?

Boost development productivity 45%

Complete coding tasks 45% faster with AI-driven code suggestions and automated boilerplate generation. Reduce repetitive coding time, increase focus on design and complex problem-solving, and enable earlier delivery.

Debug code 3x faster

Identify and fix bugs in minutes rather than hours with AI-powered error detection and suggested fixes. Receive concise explanations for complex issues and cut debugging time by up to 70%.

Learn new programming languages

Learn unfamiliar programming languages and frameworks with real-time code examples and syntax guidance. Apply new skills by building projects, increasing your technical versatility.

Improve code quality standards

Improve code maintainability with AI-driven best-practice suggestions and automated code reviews. Help reduce technical debt, enforce consistent coding standards across the team, and decrease production issues.

Accelerate legacy code modernization

Apply AI-assisted refactoring and migration suggestions to update legacy codebases to modern standards, reducing maintenance costs and improving system performance.

Learn more

Learn more about creating an AI Coding Assistant

Automate your first task
Step 1

Fix Bug

Diagnose errors fast; your AI Coding Assistant pinpoints and patches failing logic and runtime bugs.
Step 2

Refactor Code

Improve readability and performance; the AI Coding Assistant restructures functions and removes duplication.
Step 3

Add Unit Tests

Ensure reliability; the AI Coding Assistant adds test coverage to verify fixes and prevent regressions.

Benefits

Why use an AI Coding Assistant?

Automate your next generation task
1

Instant, AI‑Powered Code Review

Have every diff and pull request reviewed automatically—catch bugs, security smells, and style issues, with clear suggestions you can copy‑paste. Works in your IDE and CI to speed up approvals and raise code quality.
2

Debug Faster from Logs and Stack Traces

Paste failing tests, stack traces, or error logs and get root‑cause analysis plus minimal, targeted fixes. The AI coding assistant explains errors in plain English and proposes patches tailored to your codebase.
3

Auto‑Generate Unit Tests for Higher Coverage

Offload test writing—generate unit and integration tests with realistic mocks and edge cases (Jest, PyTest, JUnit). Improve coverage, prevent regressions, and keep CI green with fast, repeatable test generation.
4

Boilerplate, Scaffolds, and API Snippets on Demand

Skip repetitive setup by generating CRUD endpoints, React/Vue components, config files, schemas, and SDK calls. Ship features faster with production‑ready snippets and consistent patterns across the codebase.
5

Safe Refactors and Framework Migrations

Automate large‑scale renames, extract functions, modernize syntax, or migrate libraries/frameworks with confidence. Get step‑by‑step diffs, upgrade notes, and checks that keep behavior intact.
6

Documentation and Comments That Write Themselves

Generate up‑to‑date docstrings, README sections, usage examples, and PR summaries as you code. Keep documentation in sync to speed onboarding and make maintenance effortless.

FAQ

Frequently asked questions.

Automate your text generation task

What does an AI coding assistant do?

AI coding assistants are designed to handle tedious and repetitive coding tasks for you. They can automate code reviews, write documentation, and more. You can even feed them your latest code snippets, and they will generate comments or descriptions. Powered by AI, these assistants work 24/7 without rest, constantly learning and improving their abilities. With Lindy, you can easily create your personalized AI coding assistant (compatible with over 3,000+ tools).

How do I create an AI coding assistant?

Setting up an AI Coding Assistant with Lindy is easy and doesn't require you to a single extra line of code. Start by signing up with Lindy and selecting the AI Coding Assistant option. Next, connect the coding tools and platforms you frequently use. Customize your assistant's settings to fit your preferences and specify the coding tasks you need help with. Once configured, your AI assistant will be prepared to assist with your coding projects, continually evolving with your feedback.

Can AI generate code for me?

Yes, AI can indeed generate code for you. By creating an AI coding assistant in Lindy, you can get help with writing code snippets, debugging, and even optimizing your code. Just provide the context or specifications of what you're trying to achieve, and the AI can generate the corresponding code, significantly easing your workload and streamlining your coding process.

How accurate and secure is an AI Coding Assistant, and how is source code protected?

Developers commonly ask about privacy, intellectual‑property exposure, and vulnerability risks with AI Coding Assistants. Industry analysis also notes that productivity gains can vary without sound review practices and secure workflows in place. An AI Coding Assistant mitigates risk with Instant, AI‑Powered Code Review across diffs and pull requests, highlighting security smells and style issues with copy‑pasteable suggestions, while human‑in‑the‑loop approvals and test gates enforce quality. Repository‑scoped context, least‑privilege access, and CI enforcement further strengthen accuracy and data protection.

Does an AI Coding Assistant integrate with IDEs and CI/CD to review every diff and pull request automatically?

An AI Coding Assistant integrates with development workflows to deliver Instant, AI‑Powered Code Review in an IDE and CI/CD, scanning every diff and pull request for bugs, security smells, and style issues. Clear, actionable suggestions accelerate approvals and raise code quality, while PR summaries and documentation updates keep reviewers aligned. Boilerplate and API snippets on demand help developers ship features faster alongside automated reviews.

How fast is setup and what does "free to start" include for an AI Coding Assistant?

An AI Coding Assistant is quick to set up and free to start, enabling immediate value from Fix Bug, Refactor Code, and Add Unit Tests flows without lengthy onboarding. Typical setup connects an AI Coding Assistant to an IDE or CI, after which automated code review, debugging from logs and stack traces, and auto‑generated tests become available for rapid productivity gains. This approach helps teams evaluate benefits quickly and scale usage as needs grow.

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Automate anything

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Whether you’re building solo or looking for a full-service setup, Lindy helps you automate the boring stuff — so you can get back to running your business.

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