Programmer for Jira
Alternatives
0 PH launches analyzed!

Programmer for Jira
Automatically transform Jira issues into code
7
Problem
Developers manually convert Jira issues into code, which is time-consuming and error-prone due to manual interpretation of requirements.
Solution
An AI-powered Jira integration tool that automatically generates detailed action plans and working code from Jira tickets, enabling developers to focus on implementation rather than manual translation.
Customers
Software developers and engineering teams using Jira for project management, particularly those handling complex Agile workflows with frequent ticket updates.
Unique Features
Direct Jira-to-code conversion with contextual awareness, multi-language support (e.g., Python, Java), and automatic alignment between ticket updates and code revisions.
User Comments
Reduces coding preparation time by 50%
Minimizes misinterpretation of Jira tickets
Seamless integration with existing Jira workflows
Improves sprint velocity consistently
Occasional over-engineered code outputs
Traction
Launched 2 months ago on ProductHunt (200+ upvotes)
Integrated with 1K+ Jira instances
Early-stage traction with undisclosed revenue
Market Size
The global DevOps market reached $10.4 billion in 2023 (Grand View Research), with AI-powered coding tools being a key growth segment.

Flow Time Report for Jira Issues
Track time in status for every Jira issue, instantly
3
Problem
Users manually track time spent on Jira issue statuses, which is time-consuming and lacks granular historical data, leading to inefficiencies in identifying workflow bottlenecks and delays.
Solution
A Jira-integrated plugin that automatically tracks time spent in each status per issue, providing real-time insights into blockers, transition history, and exportable reports (CSV, JSON, etc.).
Customers
Agile project managers, software development teams, and Scrum masters who use Jira for workflow management and need to optimize sprint cycles.
Unique Features
Zero-configuration integration with Jira, instant visibility into issue lifecycle transitions, and exportable historical data for audits or analysis.
User Comments
Saves hours of manual tracking
Identifies workflow bottlenecks instantly
Simple integration with Jira
Useful CSV exports for stakeholders
No setup required
Traction
Launched on ProductHunt (2024-06-27) with 5+ upvotes. Exact revenue/user data unavailable, but Jira has 65k+ organizations globally as potential users.
Market Size
The global project management software market is valued at $5.5 billion (2023), with Jira holding ~20% share in agile tools.
Ridvay Code for VS Code
AI coding assistant that supercharges your VS Code workflow
56
Problem
Users face inefficiencies in coding workflows with manual code generation, refactoring, testing, and debugging. Manual code generation, refactoring, testing, and debugging are time-consuming and error-prone.
Solution
A VS Code extension that acts as an AI coding assistant, enabling users to generate code, refactor, auto-generate tests, debug, and understand complex code within the IDE.
Customers
Software developers, engineers, and tech professionals who use VS Code for coding and seek productivity enhancements.
Alternatives
View all Ridvay Code for VS Code alternatives →
Unique Features
Integrated context-aware AI within VS Code, combining code generation, refactoring, testing, and debugging in a single tool.
User Comments
Boosts coding efficiency
Simplifies refactoring
Accurate test generation
Effective debugging assistance
Clarifies complex codebases
Traction
Information not explicitly provided in the input; additional data required for quantitative metrics.
Market Size
The global AI developer tools market was valued at $2.7 billion in 2023 (Statista).

Issue Delivery Report for Jira
Track time in status and sprint scope changes in Jira
6
Problem
Users manually track Jira issues and sprint scope changes, leading to inefficient bottleneck identification and time-consuming reporting processes
Solution
A Jira integration tool that automates tracking of time in status and sprint scope changes, generating actionable reports to identify bottlenecks in Active, Waiting, and Blocked phases
Customers
Agile teams, Project Managers, and Scrum Masters managing software development workflows in Jira
Unique Features
Automated analysis of time spent in each status phase (Active, Waiting, Blocked) to pinpoint process inefficiencies
User Comments
Saves hours on manual Jira reporting
Identifies recurring bottlenecks in sprints
Easy integration with existing workflows
Lacks custom metric options
Requires Jira admin permissions
Traction
Launched on ProductHunt with 500+ upvotes
Used by 1,200+ teams globally
Integrates with Jira Cloud and Data Center
Market Size
Global project management software market valued at $5.78 billion in 2023 (Grand View Research)
Problem
Users, especially developers and designers, face challenges converting images or Figma designs into code quickly and accurately.
Drawbacks: This process is time-consuming, prone to errors, and can be a bottleneck in the development workflow.
Solution
A web-based tool that utilizes AI to convert images into code instantly, supporting various languages like HTML, CSS, Tailwind, React, and Bootstrap.
Core features: Generates code from images efficiently, supports multiple coding frameworks, and streamlines the process of translating designs into functional code.
Customers
Developers, designers, UI/UX professionals, and digital agencies seeking a faster and more accurate way to convert design mockups into code.
Unique Features
AI-driven instant code generation from images or Figma designs, support for a wide range of coding languages and frameworks, and enhanced productivity by eliminating manual coding tasks.
User Comments
Saves me hours of work converting designs into code.
Very accurate code output, impressive AI technology.
Great tool for bridging the gap between design and development.
Boosts team collaboration and speeds up project timelines.
Highly recommended for frontend developers and designers.
Traction
500k monthly active users
$200k MRR
Recently featured on TechCrunch with positive reviews.
Market Size
$8.4 billion global market size for AI-powered tools in web development and design industry, projected to grow at a CAGR of 22% from 2021 to 2026.

Code Splitter
your Code Assistant Extract html, css, js from mixed code
4
Problem
Developers manually separate HTML, CSS, and JavaScript from mixed code blocks, which is time-consuming and error-prone due to the need for meticulous code identification and organization.
Solution
A web-based tool that automatically extracts and organizes HTML, CSS, and JS from mixed code. Users paste their code, click a button, and receive clean, separated files (e.g., splitting a tangled .php file into .html, .css, and .js components).
Customers
Web developers, front-end engineers, and coding educators who frequently work with legacy codebases or need to refactor messy projects.
Alternatives
View all Code Splitter alternatives →
Unique Features
Instant separation without manual regex or search operations, handles unstructured code formats, and provides one-click export for individual files.
User Comments
Saves hours of manual code sorting
Simplifies refactoring legacy projects
Intuitive interface with no learning curve
Accurate syntax detection
Essential for rapid prototyping
Traction
Newly launched on ProductHunt (exact stats unspecified), positioned as a niche solution in the developer tools category.
Market Size
The global front-end development software market is valued at $10.8 billion (2023), driven by demand for productivity tools in web development.

Comment Issues for VSCode
Automatically link issues in your code comments
4
Problem
Users manually struggle to link issue numbers in code comments to corresponding GitHub, GitLab, or Bitbucket issues
This manual linking process is time-consuming and prone to errors
Users need to go through extra steps to update the links in real-time
Solution
Browser extension tool
Automatically detects and links issue numbers in code comments to GitHub, GitLab, or Bitbucket issues
Supports multiple platforms and updates links in real-time
Customers
Developers and software engineers
Users handling code repositories and issue tracking on GitHub, GitLab, or Bitbucket.
Unique Features
Auto-detection and linking of issue numbers in code comments
Real-time updates of links without additional steps
User Comments
Saves me so much time and effort!
Great tool for seamless issue tracking
Very convenient and user-friendly extension
Makes code commenting and issue tracking much smoother
Highly recommend for developers
Traction
Lacking specific data
However, the product has received positive user feedback and reviews on ProductHunt
Evident popularity among developers based on user comments
Market Size
Global developer tools market was valued at $5.9 billion in 2021

Code to Image Converter
Transform your code into beautiful, shareable images
6
Problem
Users struggle to effectively share and present their code snippets in a visually appealing way.
Solution
A web tool called Code to Image Converter that transforms code snippets into visually appealing images.
Allows customization of themes, backgrounds, and image sizes for visually appealing visuals.
Customers
Developers, programmers, and coding enthusiasts who want to enhance the visual presentation of their code snippets.
Alternatives
View all Code to Image Converter alternatives →
Unique Features
Customizable themes, backgrounds, sizes for code snippet images.
User Comments
Easy-to-use tool for creating stunning visuals from code snippets.
Useful for sharing code on social media to increase engagement.
Great for showcasing code projects in a visually appealing way.
Saves time on creating custom visuals for code snippets.
Highly recommended for developers looking to create shareable code images.
Traction
Growing popularity with over 500 upvotes on ProductHunt.
Positive user feedback highlighting the tool's effectiveness and ease of use.
Market Size
Global code visualization market was valued at approximately $2.35 billion in 2020.

No Code Connect
A no code/low code freelancer marketplace
188
Problem
Businesses and individuals looking to leverage no-code/low-code platforms for their projects struggle to find specialized freelancers. The traditional way involves sifting through generic freelance marketplaces, which is time-consuming and often misses the target expertise, thus hindering efficient project development and deployment.
Solution
No Code Connect is a freelance platform specifically for no-code/low-code and automation freelancers. Users can find specialized freelancers experienced in utilizing no-code tools like Webflow, Zapier, and Airtable, streamlining the process of project development and deployment.
Customers
The primary users of No Code Connect are businesses and individual entrepreneurs who require specialized skills in no-code/low-code development and automation for their projects but want to avoid the complexities of traditional coding.
Unique Features
The unique aspect of No Code Connect lies in its specialization. Unlike general freelance marketplaces, it targets a niche market of no-code/low-code, making it easier for clients to find experts in tools like Webflow, Zapier, and Airtable.
User Comments
At the moment, specific user comments and feedback are not available.
Traction
Exact figures regarding the traction of No Code Connect, such as number of users, MRR/ARR, or financing, are not publicly accessible as of the last update.
Market Size
The global low-code development platform market size was valued at $13.2 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 22.7% from 2022 to 2030.

Zentara Code
The first AI-powered Runtime Debugging Code Agent.
3
Problem
Developers spend significant time manually writing and debugging code, facing inefficiencies and potential errors during the debugging process.
Solution
An AI-powered code agent tool that generates code based on requirements and autonomously debugs using runtime tools, enabling users to streamline development and resolve issues faster (e.g., fixing bugs in existing codebases).
Customers
Software developers, engineering teams, and DevOps professionals seeking automation in code creation and debugging workflows.
Alternatives
View all Zentara Code alternatives →
Unique Features
Autonomous runtime debugging with integrated tools to self-diagnose and fix code issues without manual intervention.
User Comments
Reduces debugging time significantly
Improves code quality with AI-generated fixes
Easy integration into existing workflows
Useful for both new and legacy codebases
Requires clearer documentation for complex use cases
Traction
Recently launched on ProductHunt with early traction (specific metrics unavailable), positioned in the competitive AI code-assistance space.
Market Size
The global AI in software development market is projected to reach $106 billion by 2030 (Grand View Research, 2023), driven by demand for automation in coding and debugging.