Tabnine

Our next Tabnine Live will showcase our latest release: AI agents for Atlassian Jira that allow software engineers to streamline their development process by implementing and validating issues with one click. Whether you’re managing feature stories, bugs, or tasks, the Jira Implementation Agent and Jira Validation Agent will help developers to accelerate the entire software development life cycle. This live demo and Q&A will explore: • Automatically generating code from Jira issue requirements, reducing manual effort and improving efficiency • Validating your code directly against the Jira issue to ensure accuracy and alignment with its requirements • Leveraging AI to boost your productivity and deliver high-quality code faster, all while staying aligned with business objectives We'll demo both new AI agents in action, showing how Tabnine integrates seamlessly with Jira to personalize and automate your workflow so you can focus on coding and innovation — and leave the repetitive tasks to Tabnine.

✏ Test-driven development encourages writing testable, loosely coupled code that tends to be more modular, which is easier to write, debug, understand, maintain, and resume. It can improve software quality but is also time-consuming. Here’s how Tabnine can help speed it up. https://lnkd.in/dsUHrYKi #AI #Programming #Testing #Debugging

Is your team relying on general large language models for coding tasks? It might be time to consider specialized models. 💻 Brandon Jung, VP of Ecosystem and Business Development at Tabnine, explains how these models outperform LLMs when it comes to specific tasks, boosting productivity and ensuring data transparency. Check out this insightful conversation with Conor Bronsdon of Dev Interrupted to learn more about choosing the right AI solution for your team! #AI #SoftwareDevelopment #programming #LLMs #coding 👉🏽 https://lnkd.in/ddN5hjFh

Join our Principal Product Evangelist Aydrian Howard every Tuesday at 3pm ET for a live stream and QA where you'll learn to accelerate software development with Tabnine's AI coding assistant.

With our new Jira Validation agent, you can ask Tabnine to review your implementation. If you have written code for a Jira issue, Tabnine can check that it accurately captures the requirements outlined in the Jira issue, and offer recommendations to fix the code if it doesn’t comply with the requirements.  #AI #coding #Jira #AIAgent #programming

Join our Principal Product Evangelist Aydrian Howard every Tuesday at 3pm ET for a live stream and QA where you'll learn to accelerate software development with Tabnine's AI coding assistant.

While AI is changing the way developers build software, it’s evolving so quickly that it can be tough to know which is the right tool for your organization. This article published in gitconnected offers a handy checklist of criteria for evaluating AI code assistants so you can make an informed decision, mapped to features that will deliver the results you need: code completion and chat assistance, privacy and security, and personalization. 🔗 https://lnkd.in/eE7zhcar #AI #coding #engineering #softwaredevelopment #developers

🪄Tabnine’s new AI agents for Atlassian #Jira are now in general availability. As the first #AI code assistant to offer an integration with Atlassian Jira, Tabnine enables you to accomplish macro-level tasks with a single click. You can directly ask Tabnine to implement a story, bug, task, or subtask — without having to decipher requirements in a Jira issue, break it down into tasks, and feed specific prompts into an AI chat window. 💬 See it in action: https://lnkd.in/d3HGQXzb #AIforSoftwareDevelopment #Engineering #AIcode #Developers #Coding #AIAgents 

🗞️The September newsletter is here! In this edition, explore Tabnine’s new AI agents for Atlassian Jira, debugging in VS Code, getting your organization to say 'yes' to AI, and tips on using Tabnine with Prisma and Helm Charts, and more!

Yoni Davidson is a skilled Go developer, and he’s used his time at Tabnine to explore Go language LLM agents and frameworks in Python and TypeScript. He’s developed his methodology for creating an agent, focusing on lightweight applications that prioritize performance and simplicity, avoiding reliance on large frameworks. Go’s capabilities in prompt engineering and durability make it perfect for building long-running agents without external libraries. #GoLang #developers #python #typescript #LLMs #engineering #AIAgent