QualityLayer

QualityLayer is a software factory that keeps you in the loop while your coding agents plan, build and review software. It is designed for people who already work with AI coding agents — Claude Code, Codex, Cursor, Antigravity, Pi, OpenCode, Grok and GitHub Copilot — and who want each change to move through a structured path instead of a single prompt. You can work side by side in the QualityLayer App or in the browser, or keep using your favourite terminal or IDE, with a CLI that connects other agents. Every change travels through seven steps: Discuss, Research, Plan, Outline, Implement, Verify and Review, before your agent handles the pull request. The product describes itself as quality by design and as the software factory with you in the loop. The product's framing is stated directly on its own site: plan before you build, agree on the plan, then review the tested change. Rather than letting a change go straight from a prompt to code, QualityLayer inserts the decisions you make — Discuss, Research, Plan and Outline — before implementation begins. After implementation, your project's checks and an independent review produce proof, and the site's stated rule is that every point needs evidence. The result is presented as a workflow where you decide, agents work and agents check, in that order across the steps. A quoted engineer says that with QualityLayer, developing software with agents finally feels like doing real engineering again, and a former Pilot Shell user says that their productivity shot through the roof. QualityLayer works with the agents you already use rather than replacing them. The supported agents listed are Claude Code, Codex, Cursor, Antigravity, Pi, OpenCode, Grok and GitHub Copilot, and the CLI connects other agents. You keep your existing login or API key, and the site states that you use the models you already pay for: Opus 5.5, Sonnet 5.5, Fable 5.1, Haiku 5.5, GPT-6.1 Sol, Grok 4.7 and Gemini 3.8 Flash, reached through those agents. Models can be chosen separately for building and for independent review — for example Opus 5.5 builds it, subagents are used when useful, Codex reads the plan, Claude Code reads the plan, or one agent does every step. Any model your coding agent offers can also be used. Before any code is written, your agent maps the files a change will touch and how they connect. The site's example change map separates 'today' from 'after changes', marking three changed files, one new file and one risk, and traces connections across a gateway, billing, meters, usage windows, a handler, a new meter and a ledger with price() in the pricing file. The map can be dragged to move and zoomed, and new, changed and risk items are colour-coded. The Plan step is where you review diagrams and clickable designs and then approve the plan, and you can comment on change maps, diagrams and clickable mockups. The stated sequence is simple: agree on the plan, then review the tested change. QualityLayer runs your project's checks and security scans, and a separate agent reviews the change against your request. Project checks are described as repeatable checks from your project: tests and types run through your own recorded commands, linters using your project's rules, code health covering complexity and duplication, and recorded proof where every point needs evidence. Independent agents cover a security review of inputs, access and secrets; an independent review by an agent that did not write the code; a design review that checks each finished design; and an optional second opinion from another coding agent. Anything still open reaches you in Review together with its evidence. The workflow runs from prompt to pull request across eight numbered stages: Discuss, Research, Plan, Outline, Implement, Verify, Review and Pull request. You decide at Discuss, Plan and Review; agents work at Research, Outline, Implement and Pull request; agents check at Verify. In Discuss you settle the open questions with your agent — the site's example asks whether 400-seat customers move to usage or stay on seats, offering three choices and a recommendation. In Research, agents trace how the code works today and what can be reused. In Outline, your agent breaks the plan into small, testable tasks. In Implement, your agent builds test first and hands independent work to other agents when useful. In Verify the agent fixes the findings, and in Review you look at the code and checks, request changes or approve, control the merge, and the agent handles failing checks and review comments. You can add your own checks, tools and skills to any step. QualityLayer runs on your computer. The site lays out four layers: where you work, with your task on the left and your agent on the right in the App or browser; your agent on your own subscription, using your existing login or API key; QualityLayer planning, answering and reviewing beside your agent, with visual plans or conversation and a CLI that connects any other agent; and your repository, where every step is a Markdown file you can read, diff and commit, including the plan, decisions and test runs. Every decision, document and test run stays with the change, so the reasoning behind a piece of work remains readable and reviewable long after it was produced. Because the plan, the decisions and the test runs are stored with the change, users get a record of why the code looks the way it does rather than only the code itself. The check results and the independent review arrive together with their evidence, so you review findings rather than repeat the work. Working beside your agent in the App or browser means you do not have to abandon the terminal or IDE you already like — the same workflow is available in either place, and other agents can be connected through the CLI. Projects also accumulate reusable lessons that can be shared through Git, so working preferences and project specifics carry forward from one change to the next. The site lists concrete prompts that show how the product is used in practice: 'Using QualityLayer, add rate limits to the export API', 'Using QualityLayer, chat about the billing refactor', 'Open the settings design in my browser', 'Scan this repository for leaked secrets' and 'Share this task with my team', all asked in plain words in any language. Connected agents can plan, design and check work together — in the example, Claude Code asks Codex to review a rate-limit change on feat/export-limits, Codex reads the change and runs its tests, replies REVISE with two items (the limit resets per process, not per account), and Claude Code fixes both items in the same session. QualityLayer addresses engineers who already use coding agents, and its FAQ asks whether it is for product managers as well as engineers, and whether it can be used on your own or only with a team. The App is available for macOS, Windows and Linux, with a Linux AppImage download listed, and for servers, WSL or containers the site points to installing the command line. Settings cover agents, plan limits and reviewers, Home shows what needs you, Memory keeps useful project lessons, Artifacts let you try a screen before it is built, and Team asks the people who know. Your own model subscription is used rather than a separate one. In short, QualityLayer is a human-in-the-loop software factory: your existing agents discuss, research, plan, outline, implement, verify and review a change, you approve the plan and the result, and independent checks provide the proof.