Software Engineering
An AI workspace for modern software teams
Zenning helps engineering teams collaborate with AI to analyse code, manage workflows, and automate routine development tasks across their existing tools — with full control and visibility.
What are the main features of our Issue creation process for 2024?
Our 2024 performance evaluation process includes several key features to ensure effective and fair assessments:
- Our 2024 performance evaluation process includes several key features to ensure...
- 1. Clear Blocker Tracking: Systematic tracking of blockers so nobody is stuck too long...
- 2. Clear Epics: Emphasis on alignment with product specs...
- 3. Goal Alignment: Ensure sprint goals tie neatly to OKRs and company objectives...
Codebase understanding to move work forward
Explore unfamiliar code, dependencies, and system behaviour without digging through files or relying on scattered context. Zenning explains your codebase, surfaces relevant technical documentation, and helps engineers navigate codebases faster and with less error-prone guesswork.
Codebase understanding to move work forward
Explore unfamiliar code, dependencies, and system behaviour without digging through files or relying on scattered context. Zenning explains your codebase, surfaces relevant technical documentation, and helps engineers navigate codebases faster and with less error-prone guesswork.
Keep issues and pull requests moving
Use Zenning to triage issues, summarise pull requests, and suggest next steps for engineering work in one place. No more copying between tools, updating spreadsheets, or remembering where work lives. Your team spends less time managing work and more doing it.
Work across your engineering tools
Zenning connects to your engineering stack to update Jira and Linear tickets from GitHub pull requests, surface help documentation in Slack, and archive fixes across systems automatically. No more copying between tools. Just a clearer picture of what's happening and what's left to do next.
GitHub
Linear
Jira
Figma
Update Jira & Linear tickets when PR status changes to "Ready"
Ollie MahoneyAutomated Software Engineer
Zenning AI autonomously builds features, fixes bugs, and plan work for your engineering team. From ticket creation to pull request, watch AI handle the entire development workflow whilst you focus on high-impact decisions.
Engineering AI Chat and Employees
Your engineering team works with AI in a shared workspace, collaborating in real time to understand code, manage issues, and review pull requests across your entire stack.
Engineering AI Workspaces
A single AI workspace for your engineering team. Query sprint status, understand system context, review issues and pull requests, and coordinate work together. All your engineering data in one place.
Summarise the current sprint status and highlight any blocked or high-risk issues.
Engineering AI Employees
AI Employees don't just respond, they execute. They review code for issues, summarise pull requests, surface helpful docs, update engineering systems, and flag next steps based on your rules and approvals.
Review open pull requests, flag potential issues, and suggest next steps.
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benefits of AI