Git forge built for agent-human collaboration — pull requests are replaced by 'Trails', agent-scored evals on every push, with agent sessions and prompts searchable in the repo as Continuous Memory.
Entire replaces pull requests with Trails — agent-scored evals on every push — so code review becomes an evaluation run, not a review bottleneck.
Agent sessions and prompts stay searchable in the repo as Continuous Memory, on a distributed Git-compatible backend hosted in the US, EU, India and Australia, with pay-as-you-go pricing and a one-time trial credit.
| Pricing | Paid |
|---|---|
| Category | Coding & Development |
| Platforms | web |
| Company | Entire |
| Best for | Teams building software with AI agents who want evals and agent context inside the repo |
| Official website | entire.com |
The right coding tool depends on where you write code and how much of your codebase it can understand. IDE integration is the first filter — a tool that lives in your editor, sees your project files and respects your stack will help far more than a general chatbot you paste snippets into. Look for accurate completions, clear explanations of suggested changes, and strong refactoring and debugging support for your main languages. Privacy deserves real attention: check whether your code is used for training, and whether a self-hosted or enterprise option exists for sensitive projects. Price against the hours it actually saves — most developers feel the difference within the first week of real use.
Entire replaces pull requests with Trails — agent-scored evals on every push — so code review becomes an evaluation run, not a review bottleneck.
Entire offers Trails — agent-scored evals on every push, replacing pull requests, Continuous Memory — agent sessions and prompts searchable in the repo, Distributed Git-compatible backend, Hosting in the US, EU, India and Australia and Pay-as-you-go pricing with a one-time trial credit.
Entire is a paid product. Prices and plans change over time, so check its official website for the current pricing before you buy.
Strengths of Entire include Evals on every push instead of review bottlenecks; Agent context stays searchable in the repo, not lost in chat; Distributed hosting across four regions. On the downside, Pay-as-you-go — costs scale with model-provider rates; Adopting a new forge means leaving the pull-request workflow behind.
by Dedica
Checks whether AI agents can actually use your website — 125 free checks across discovery, access, usability and payments, a score out of 100, and one fix file per issue for your coding agent.
Best for: Website owners who want AI agents — and their users — to complete tasks on their site
Pricing: Freemium
Limitation: Fixes require the paid kit — the free tier only scores
by Yardlet
Free, open-source Mac app that runs the coding-agent CLIs you already use — Codex, Claude Code, OpenCode and more — side by side under one sidebar, composer and approval cards.
Best for: Mac developers running several coding agents at once who want one window for all of them
Pricing: Open Source
Limitation: macOS 15 or later on Apple silicon only — Windows and Linux are explicitly not available
by Zest
macOS Liquid Glass command wheel — hold ⌥Space in any project, flick toward a slice, and the task goes to Claude Code, Codex, Gemini or shell, each in its own git worktree, with a served ring for diff, merge, yeet or re-run.
Best for: Mac developers who drive Claude Code, Codex and Gemini from many projects at once
Pricing: Paid
Limitation: macOS 26 or later only — no Windows or Linux version
by OpenLLM
Local LLM routing layer for Claude Code and Codex — connect subscriptions, API keys and local models once, get one key usable across coding agents, with fallback to the next model on limits and one shared memory.
Best for: Developers juggling several model subscriptions who want one key and automatic fallback
Pricing: Freemium
Limitation: Free tier only goes so far — Pro is needed for more
by WhoIsCooking
Mac menu-bar and notch app showing chip temperature and which AI agent is the heat, cooling by moving heavy work to efficiency cores while the job keeps running slower.
Best for: Mac developers running AI agents who want to know what is cooking their chip
Pricing: Paid
Limitation: Apple Silicon Macs on macOS 14 or later only
by Comity
Coordination layer for a team's coding agents — it warns two agents heading for the same function, API or table before either writes a line, turns a spec into a shared task list, and carries context across handoffs when you log off.
Best for: Teams running several coding agents on the same codebase who keep hitting merge conflicts
Pricing: Freemium
Limitation: Value depends on the whole team connecting their agents — one unconnected agent can still cause conflicts
