ChatGPT Alternatives For Coding


ChatGPT has taken the world by storm. This eerily human AI assistant can instantly generate everything from essays to song lyrics. But did you know that ChatGPT also has incredible coding superpowers? It can complete code automatically, fix bugs and write entire programs in seconds. As a developer, I am impressed by the potential of ChatGPT. But it’s not the only sidekick in AI coding. In this post, I’ll show you 7 great ChatGPT coding alternatives that can seriously up your coding game. Once you integrate these AI tools into your workflow, you can produce high-quality code at record speeds.

What is ChatGPT?

Modern language models like ChatGPT, created by OpenAI, use artificial intelligence to produce texts that sound human. It provides suggestions and automatically completes the code to help developers code more effectively. ChatGPT works by examining the context of the code and recommending the best line of code.

Why Consider ChatGPT Alternatives?

First, don’t get me wrong: ChatGPT is an incredibly versatile coding assistant. But it does have some limitations:

  • Limited language support – ChatGPT only works with certain programming languages.
  • Privacy concerns – It captures user data, which bothers some developers.
  • Accuracy issues – The AI ​​still makes mistakes, especially with complex code.

That’s where AI alternatives shine. Many specialize in coding and address ChatGPT’s shortcomings.

With these tools you can:

  • Code faster with autocomplete
  • Fix errors immediately
  • Get context-aware recommendations
  • Analyze and optimize code

Let’s take a look at the top contenders:

What are the best ChatGPT alternatives for encryption?


Codota is a lightning-fast autocomplete tool specialized for Python. It can be integrated into all top IDEs.

As you code, Codota suggests entire lines and blocks of code, tailored to your context. If you accept the suggestions, they will be inserted immediately.

This allows you to quickly stitch together solid Python code-like building blocks.

Codota also analyzes your code quality on-the-fly. It highlights potential errors and areas for optimization.

Companion mode even gives you clear English explanations of how the suggested code works.

For Python developers, Codota can speed up your coding and help you write more robust programs.


Researchers at SalesForce created the open-source programming language model known as CodeT5. Google’s T5 framework (Text-to-Text Transfer Transformer) serves as the basis. The researchers used approximately 8.35 million instances of code, along with user comments, from openly available GitHub projects to train CodeT5.

The majority of these datasets were obtained from the CodeSearchNet dataset, which also includes two C and C# datasets from BigQuery, along with Ruby, JavaScript, Go, Python, PHP, and C and C#.


Polycoder is an open-source AI assistant created by researchers at Carnegie Mellon using the GPT-2 model. It is designed to generate highly accurate code, especially for C programming.

As an open source tool, Polycoder is transparent, customizable, and ideal for developers concerned about privacy. If you code in C or want an open alternative to commercial tools, Polycoder is worth exploring.


If raw coding speed is your top priority, TabNine is for you.

TabNine integrates directly into your editor and provides lightning-fast code suggestions as you type. We’re talking sub-second response times.

It’s like autofill on steroids, but with AI smarts. TabNine analyzes your code context to provide shockingly accurate suggestions.

Completions are continuously improved as you continue to code. It learns your style and adapts to you.

TabNine supports a range of languages ​​including Python, JavaScript, Java, C++, PHP and more.

Overall, it’s ideal if you want AI-powered suggestions at blinding speeds.


For Python coders working in Jupyter Notebooks, Cogram will be your new best friend.

This allows you to easily describe what you want to do in plain English, and Cogram will generate the Python code automatically.

For example, you can say:

“Load the CSV dataset as a pandas dataframe”

And Cogram will automatically insert something like:


Copy code

import pandas as pd df = pd.read_csv("dataset.csv")

It even handles plotting, SQL queries and more.

Cogram makes coding in notebooks incredibly fast and intuitive. Data scientists will love it.

GitHub copilot

GitHub Copilot strives to provide the most intelligent and context-aware autocompletes available.

It achieves this by using OpenAI Codex – an AI system trained on mountains of public code from GitHub.

As you code, GitHub Copilot suggests entire lines and blocks of code, tailored to the specific idioms and patterns of your project.

Completions get smarter over time by learning from your coding style and feedback.

GitHub Copilot supports numerous languages ​​such as JavaScript, Python, TypeScript, Ruby and more.

For intelligent suggestions that feel almost human, Copilot is hard to beat. But it requires a paid subscription.

Google Bard

Google’s Bard is great news for search, but is also an “experimental conversation service” powered by Google Lamda. According to Google, Bard aims to “combine the power, intelligence and creativity with the breadth of knowledge of the world.”

While Bard is perhaps the most obvious replacement for Chat GPT in all features, it is still possible to develop code or get advice on future code. However, the public has not yet gained access to all of Bard’s powers.

AlphaCode from DeepMind

DeepMind, the leading AI research lab, created AlphaCode to push the boundaries of AI assistants.

AlphaCode not only writes code, but also reasons. It can explain why it made certain choices or how its code achieves its goal.

This level of transparency builds trust in the AI.

AlphaCode also offers incredibly advanced capabilities such as:

  • Translate code between languages
  • Improving code efficiency
  • Generate tests for code
  • Summarize what code does in plain English

Although not yet commercially available, AlphaCode represents the cutting edge in AI coding assistants.

My opinion:

ChatGPT Alternatives

ChatGPT Alternatives Most important features Rating (out of 5) Judgement
Codota Fast auto-completion, error detection 4.5 Codota offers lightning-fast suggestions and in-depth Python analysis, making it a Python coder’s dream.
CodeT5 Uses T5 framework, extensive code training 4.3 CodeT5, built on Google’s T5 framework, offers versatile language support and remarkable precision in code suggestions.
Polycoder Very accurate for C programming 4.2 The transparent, open-source nature of Polycoder makes it an ideal choice for privacy-conscious developers coding in C.
TabNine Lightning-fast suggestions, powered by AI 4.6 TabNine’s sub-second response times and customizable AI make it the best choice for developers looking for speed and accuracy.
Cogram Clear English coding in Jupyter Notebooks 4.4 Cogram revolutionizes Jupyter Notebook coding by translating natural language into Python code, making data science a breeze.
GitHub copilot Context-aware interpretation, learns from you 4.7 GitHub Copilot, powered by OpenAI Codex, provides incredibly smart suggestions tailored to your project’s unique coding patterns.
Google Bard Experimental conversation service N/A Google Bard, while experimental, shows promise in providing conversational advice on future code.
AlphaCode from DeepMind Transparent AI, code reasoning N/A DeepMind’s AlphaCode provides in-depth explanations, efficient code translation, and advanced capabilities for a future-proof coding experience.

Improve your coding today

ChatGPT is just the tip of the iceberg when it comes to AI coding assistants. As you can see, there are a wealth of great alternatives available.

Each tool has unique strengths, whether it’s speed, accuracy, language support or advanced capabilities.

The best way to find out what works for you is to try some of these ChatGPT alternatives for yourself:

  • Start with a free extension like TabNine or Kite to boost your editor.
  • If you code in Python, check out Codota and Cogram.
  • Enable GitHub Copilot if you want really smart suggestions.
  • Play with Anthropic and AlphaCode for next-generation AI coding experiences.

Integrating the right coding assistant into your workflow can double or triple your productivity. You can develop software faster and spend more time on innovative thinking.

The future of coding is AI augmented. Improve your skills now and take the next step on your developer journey!

🌟 Do you have burning questions about ChatGPT? Do you need some extra help with AI tools or something else?
💡 Feel free to send an email to Govind Dheda, our expert at OpenAIMaster. Send your questions to and Govind will be happy to help you!

Published on February 21, 2023. Updated on October 14, 2023.

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