perch vs Bito

Bito and Perch act at opposite ends of the agent workflow, which is why they do not overlap. Bito's Governor is a decision layer sitting between your agent (Claude Code, Cursor, Codex, GitHub Copilot, Pi) and the model provider. Two levers: a Code Context Engine that maintains a living knowledge graph of your codebase and attaches relevant files, symbols, and dependencies to each request, and a router that scores complexity against services, dependency depth, and blast radius before choosing a model. You wire it in with one environment variable on the Anthropic or OpenAI APIs, bring your own keys or route through an existing gateway, and get quality floors, route pinning per key, per-team budgets, and token/spend analytics in one admin view. Frontier coverage spans Anthropic, OpenAI, Gemini, Grok, and open-weight models. Perch never touches routing. It is a CLI semantic linter: perch scan walks a source tree for defects and security issues, returning each finding with rule ID, file:line, severity, a confidence percentage (e.g. 91%, 78%), and the enclosing method. Its distinctive piece is perch.yaml, where you write rules in plain language with --ensure, scope them with --each method, --each file, or --where "src/**/*.ts", and filter with perch scan --filter rule=<name>. It detects things like off-by-one loop errors, MD5-hashed tokens, and unhandled nulls, scans only changed files with --since origin/main, and fails CI with exit code 3. Practically: Bito changes what your agent spends and reads; Perch changes what your team is allowed to merge.

The pricing structures could hardly be more different, and that asymmetry is the decision. Perch is free: npm install -g @lakeday/perch, run scans, findings land in a local .perch directory. There is no hosted dashboard, no multi-user policy management, and no org-wide analytics across repos — those absences are baked into the free price, not upsells you can buy today. Your actual cost is the engineering time to author and maintain perch.yaml rules; a team that never writes rules gets little value. Bito is freemium but its cost-control products, Governor and AI Architect, have no published rate — both require a scoping call, which Bito's own positioning flags as a poor fit for buyers who want a number off the page. The ROI case is usage-based: Bito's research argues context retrieval, not inference, is roughly 78% of a coding agent's bill, and reports 47 to 23 steps per task and a 10-task session falling from 25.3 to 8.5 minutes with grounding. Crucially, Bito supports on/off measurement of savings against your own live traffic, so you can A/B the numbers before signing a usage contract. If your token spend is too low to justify scoping, Bito is the wrong purchase; if it is climbing across multi-repo teams, the router is priced against what it removes.