Amazon CodeGuru is an AI-powered static application security testing (SAST) that uses machine learning and automated reasoning to find vulnerabilities in your code.
But, it’s much more than a novelty – if you use it right, ChatGPT can help you significantly speed up development.
ChatGPT can generate boilerplate code, write short code snippets, and help you write code documentation.
And that’s just the tip of the iceberg.
Important features
Code generation
You can use ChatGPT to generate code snippets in various languages, which is especially useful if you want to speed up the writing of boilerplate code.
Code explanation and debugging
ChatGPT can explain complex code snippets and identify any errors in the code, helping users find and fix bugs.
Documentation writing
With ChatGPT, you can quickly generate documentation for your codebase – all you need to do is give it access.
ChatGPT pros and cons
Pros
Strong community
Regular updates
Customizable
Cons
Sometimes generates inaccurate results
Initial setup costs
Pricing
ChatGPT’s less powerful GPT 3.5 model is free to use, with unlimited messages and interactions.
Copilot automates the writing of boilerplate code, allowing engineers to focus more on solving complex problems.
And that’s not idle talk – according to Github’s research, 74% of Copilot users say they can focus on more productive work and 88% feel more productive.
That’s a pretty compelling reason to go with it.
Important features
Code autocompletion
Copilot’s autocomplete doesn’t just suggest individual variables or functions, but can autocomplete entire lines of code
Multi-language support
Copilot supports a variety of programming languages, such as Python, JavaScript, TypeScript, Ruby, Go, C#, and C++.
Contextual understanding
The AI algorithms behind Copilot can analyze the code you’ve already written and give contextually relevant suggestions.
Github Copilot pros and cons
Pros
Improves coding speed
Easy integration
Context-based suggestions
Cons
Needs manual review
Licensing concerns
Pricing
Individuals and freelancers can get Copilot Individual for $10 per month and get access to its core features.
It scans the code in your codebase and generates documentation to explain it.
The main benefit of Mintlify is that it automates one of the most tedious tasks in software development, allowing you to focus on more important tasks.
And that’s why you should try it out.
Important features
Automatic code documentation generation
Mintlify’s core feature, it scans your code and automatically generates readable and understandable documentation to explain it.
Mintlify Chat
Based on the GPT-4 model, Mintlify Chat allows you to search your documentation and quickly find what you need.
Integration with popular development tools
Mintlify easily integrates with popular tools like Visual Studio Code and IntelliJ IDEA, so it can easily fit into your existing workflow.
Mintlify pros and cons
Pros
Saves time
Improves code reliability
Customizable templates
Cons
Dependent on code quality
Might need manual editing
Pricing
Mintlify has a free plan if you’re just getting started and want to see how it works.
Computer vision is what allows computers to understand and identify objects and people in images and videos.
And with OpenCV, you have access to over 2,500 optimized computer vision algorithms.
That’s why it’s the go-to library if you want to add it to your project.
Important features
Real-time object detection
OpenCV has algorithms that excel in identifying specific objects in images and video, which is vital for applications that need real-time object detection.
Movement and gesture recognition
With OpenCV, you can integrate movement and gesture recognition models, which are key for applications like interactive gaming and surveillance.
Pre-trained models
OpenCV has over 2,500 optimized computer vision algorithms and models, so you can pick the one that best fits your requirements.
OpenCV pros and cons
Pros
Wide range of functionalities
Active community
Efficiency
Cons
Steep learning curve
Documentation gaps
Pricing
OpenCV is an open-source library, and you can freely use it.
It can automatically join your meeting and start transcribing.
Also, it can automatically share the transcriptions with the whole team and create 30-second summaries of long meetings to keep everyone on the same page.
And that’s why it’s such a useful tool.
Important features
Real-time transcription
Otter.ai can transcribe your meetings in real time with a high degree of accuracy, saving you a lot of time.
Integration with video conferencing tools
Otter.ai easily integrates with common video conferencing like Google Meet, Teams, and Zoom.
Shared notes and collaboration features
With Otter.ai, you can share meeting notes with your entire team over Slack and even chat with it to get more specific information.
Otter.ai pros and cons
Pros
Improves productivity
Easy to use
Accessibility
Cons
Needs an internet connection
May struggle with background noise
Pricing
Otter.ai has a free Basic plan, so you can try it out and see if it works for you.
Using Scribe is the easiest way to save time and effort on writing documentation without sacrificing its quality.
And that’s why it’s a good investment.
Important features
Automatic documentation
Scribe can automatically generate visual, step-by-step guides for any process, which saves you a lot of time.
Customization options
You can customize documents by adding titles, descriptions, and redacting sensitive information so your guides are comprehensive and tailored to your specific needs.
Custom branding
Scribe supports adding company logos and colors to create guides that align with your brand identity.
Scribe pros and cons
Pros
Saves time
Helps with learning and training
Improves documentation consistency
Cons
Complex processes need edits
Only browser-based processes in free plan
Pricing
Scribe has a free plan, Basic, geared towards individuals or teams who need to document browser-based processes.
Both are $29/month for a Jira board or Linear team, the only difference being that you get extra support setting up Stepsize AI with the Tailored Setup plan.
TensorFlow is especially useful if you want to build and train deep learning models.
Also, TensorFlow has specialized tools like TensorFlow Lite (for mobile devices) and TensorFlow.js (written in JavaScript) to make deployment and integration easier.
And that’s why it’s one of the most popular machine learning frameworks.
Important features
Flexibility
TensorFlow allows for different types of data definition and manipulation, which gives you flexibility and more control over your AI model.
TensorFlow Lite
TensorFlow Lite is a mobile library you can use to deploy AI models in mobile apps and edge devices.
TensorFlow.js
With TensorFlow.js you can develop AI models in JavaScript and use them directly in the browser or in Node.js.
Marko started DECODE with co-founders Peter and Mario, and a decade later, leads the company as CEO. His role is now almost entirely centred around business strategy, though his extensive background in software engineering makes sure he sees the future of the company from every angle.
A graduate of the University of Zagreb’s Faculty of Electrical Engineering and Computing, he’s fascinated by the architecture of mobile apps and reactive programming, and a strong believer in life-long learning. Always ready for action. Or an impromptu skiing trip.