Spacecode.AI provides AI agents that listen to meetings and chat conversations and automatically create or update tickets in GitHub, GitLab, and JIRA. The agents deliver real‑time transcription, action‑item extraction, duplicate detection, tagging enforcement, and code‑context suggestions, storing all information in a searchable vector index. This automation removes manual data entry for software development teams, keeping issue trackers accurate and up‑to‑date.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams spend significant time manually transcribing meeting notes, chat discussions, and email threads into issue trackers, leading to delayed updates, inconsistent tagging, and duplicate tickets. This manual process hampers workflow efficiency and reduces the accuracy of project management data.
Solution
Spacecode.AI provides autonomous AI agents that listen to natural‑language communication across meetings and chat platforms, then automatically create, update, and curate issues in popular trackers such as GitHub, GitLab, and JIRA. The agents transcribe and summarize meetings, extract actionable items, enforce tagging conventions, detect duplicate tickets, and link related code or comments using a vector‑search index. By embedding directly into tools like Google Meet, Zoom, Microsoft Teams, Slack, Mattermost, and Discord, the service eliminates the need for developers to switch contexts or perform repetitive data entry. All interactions are processed through generative AI models and stored in a secure, searchable knowledge base, ensuring that issue information remains current and contextually rich for the entire team.
Target Audience
The primary customers are software engineering teams, DevOps groups, and product managers who rely on issue‑tracking systems such as JIRA, GitHub, or GitLab and need automated capture of work items from meetings and chats.
Features
- Real‑time transcription and summarization of video conferences (Google Meet, Zoom, MS Teams, Jitsi) with automatic extraction of action items
- Natural‑language parsing that creates or updates tickets in GitHub, GitLab, and JIRA without manual input
- Intelligent duplicate detection and enforcement of customizable tagging strategies across all tracked issues
- Proactive code‑context suggestions that surface related code snippets, test cases, or documentation when an issue is created or updated
- Integration with chat platforms (Slack, Mattermost, Discord, etc.) allowing agents to join conversations, respond to commands, and sync updates instantly
- Vector‑database indexing of all issue data, enabling semantic search and contextual retrieval for faster problem resolution
- Secure, role‑based access controls and end‑to‑end encryption for all transcribed content and ticket modifications