AI agents that plan, build, test, and review code across your real repos — with different models checking each other's work.
Task: Coding & DevelopmentUse case: Ai agents that autonomously plan build test and review code across codebasesModels: claude opus, google gemini, openai codex
Some setup — keys, settings, or a connected account
Worth knowing: Free tier caps daily premium LLM calls unless you bring your own API key.
Summarized from 3 community tutorials · July 2026
Highlights
Repo-aware chat agentChat answers questions about the entire codebase, not just open files, using its 'Repo Grokking' indexing.
Custom agents with tools & MCP serversCreate named agents (e.g. code-review, refactoring) with a chosen instruction and a specific set of tools or MCP servers attached.
Builds features from pasted API docsGiven a raw API request/response snippet, it scaffolds the route, wires it up, runs it, and self-fixes failures it hits during testing.
Multi-repository searchIndex multiple GitHub/GitLab/Bitbucket repos via the web admin panel so the agent can pull cross-repo context into any project.
Automated code review & refactoringA custom review agent flagged a hardcoded API key and missing auth; a refactor agent split an oversized file into smaller components.
Summarized from 3 community tutorials · July 2026
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No approved reviews yet. Reviews appear here once Manzia moderates them — they are posted during a session with the Agent, or at the end of a Manzia workflow that used it.
