Visual Plan Mode for Pi Coding Agent
Plan-mode plugin for Pi Coding Agent, but existing Claude Code version already exists.

They promise more than autocomplete: autonomous workflows that plan an issue, implement, debug and open a PR, plus whole-codebase context and automatic test-suite generation. The privacy pitch — "we never store your code" via Google’s enterprise API — is the clearest differentiator, but it’s a claim that demands proof (audit logs, on-prem options, or clear data flows). Interesting product-market fit for teams, but the space is crowded and I’d want to see demos of real PRs and safety/rollback controls before betting on it.
Enterprise engineering teams, backend/frontend developers maintaining legacy systems, security-conscious orgs
Plan-mode plugin for Pi Coding Agent, but existing Claude Code version already exists.
Parses local JSONL session files from Copilot, Claude Code, and Codex and surfaces an interactive DAG, per-agent/token metrics, and session replay directly in the activity bar — immediately useful for spotting which agents and skills actually do the work. The Claude cache-token breakdown and timeline replay are clever, concrete features that show the author dug into provider internals; adoption looks small today, but the concept and implementation give real observability where previously there was opacity.
Multi-domain agent data synthesis, but execution clarity and real benchmarks unclear.
74% token reduction + passive agent memory — solves two real pains with zero cloud.
Post-trained model for offensive security instead of wrapping GPT with safety refusals.
Debugger for Claude Code session costs—step-by-step breakdown of tokens and tool calls.