Jitera

Overview

Jitera is an AI collaboration platform for development teams. It transforms your company's code, documents, decisions, and implicit knowledge into sustainable "organizational context," so AI agents are no longer isolated "genius goldfish" but collaborative members who truly understand the team's history and intent. With a unified workspace, team members and AI agents can chat, co-edit documents, and develop together, preventing fragmented output from siloed work.

On the technology side, Jitera supports custom AI agents. Teams can flexibly select the underlying large language model (LLM) for their business needs and connect common tools like GitHub, Slack, and Jira, allowing agents to integrate deeply into existing workflows. The platform emphasizes "context awareness": agents continuously learn organizational knowledge and deliver more compliant output across code generation, requirements analysis, documentation, and process automation, significantly improving delivery efficiency and consistency.

Whether you're a startup or the R&D division of a large enterprise, Jitera helps you consolidate scattered AI usage into unified, team-level collaboration. This makes AI truly serve long-term organizational capability building rather than just short-term content generation.

Core capabilities

Organization context engine

Automatically turns code, documents, and decisions into an AI-readable team knowledge base.

Team collaboration workspace

Chat with AI agents, co-edit documents, and stay in sync in a unified interface.

Custom AI agents

Choose from flexible LLM models to build personalized workflow assistants.

App integrations

Seamlessly connect GitHub, Slack, Jira, and other common dev collaboration tools.

AI code generation

Automatically generate application code and feature modules that match team standards based on organizational context.

Process automation

Use AI agents to automatically handle repetitive development tasks and business workflows.

Continuous learning memory

AI agents accumulate knowledge over time and understand your team better with use.

Full-stack app building

Quickly generate and deploy complete web apps from frontend to backend.

Use cases

Quickly generate a web app code skeleton that follows team standards

Transform legacy project code and documentation into an AI-searchable knowledge base

Automate routine dev tasks like generating unit tests and API documentation

Standardize AI usage across the team to avoid fragmented outputs

Provide new team members with an AI assistant to quickly learn the project code

Use custom AI agents to automate code review and bug analysis

Connect development workflows across tools to achieve end-to-end automation

Let AI provide technical recommendations aligned with strategy based on organizational decision records