Introducing Conversational Learning from Slack and Jira | Bito

Bito’s AI Architect now captures the architectural decisions and tribal knowledge from your team’s Slack threads and Jira tickets, the reasoning that lives outside your codebase. Tag Bito in a Slack thread or Jira comment with the instruction you want it to remember. Bito then identifies whether the message qualifies as a learning, writes it into the knowledge graph, and applies the rule across every surface AI Architect powers. _________________ About Bito: Bito is the context layer for autonomous engineering workflows. Bito's AI Architect builds a knowledge graph from your code, commits, issues, docs, and past decisions, then delivers deep system context across your engineering workflow, from technical design in Jira to grounded coding via MCP to system-aware code reviews. Teams ship with confidence because every coding decision is grounded in real system context. AI Architect works across your entire development cycle: 1. Technical design and scoping: Runs feasibility analysis, technical design, and cross-repo impact assessment automatically when an epic or story is created in Jira/Linear. 2. Grounded coding: Powers grounded code generation inside your coding agent via MCP. Works with Cursor, Claude Code, Codex, and Windsurf. 3. AI code reviews: Delivers pull request reviews and cross-repo impact analysis across GitHub, GitLab, and Bitbucket, catching bugs and downstream risk before they reach production. Get started for free: https://bito.ai Book a demo: https://calendly.com/d/csk7-8yg-pwf Read SWE-Bench Pro report: https://bito.ai/benchmarks/swe-bench-... Documentation: https://docs.bito.ai/ Case studies: https://bito.ai/case-studies Blog: https://bito.ai/blogs _________________ #Bito builds #AI #CodeReview #Software in #GitHub #GitLab #Bitbucket #IDE for #Engineers and #Developers