Describe the change. Cody ships it.

Cody maps your repository, plans the steps, writes the code and runs your tests. You get a pull request to review, in the browser or right inside VS Code.

Trusted by teams building with thinQit

AI teammates

Meet the team that ships and runs your work

Cody changes your code. Sophia, Sam, Robert and Riley take on SEO, social media, reporting and design.

CodyDevelopment

Changes your web app from a plain description.

  • Describe the change in your own words
  • Shows the plan on the Mission Map, step by step
  • Writes the code and opens a pull request
SophiaSEO and GEO

Gets your business found on Google and in AI answers.

  • Audits your site for SEO and GEO
  • Checks whether ChatGPT, Gemini and other AI assistants cite you
  • Writes and publishes blog posts and knowledge base articles
SamSocial media

Creates your social posts and publishes them.

  • Creates the image and writes the caption
  • Publishes to LinkedIn, Facebook, Instagram and TikTok
RobertReporting

Puts your ad platforms and analytics in one set of reports.

  • Connects TikTok, Google, Meta and Microsoft Ads
  • Adds your Google Analytics 4 results
  • Answers your questions about the numbers
RileyVisual design

Turns your brand book and website into on-brand media.

  • Reads your colours, type and logo
  • Designs print media like flyers, posters and roll-up banners
  • Designs digital media like social banners and email headers

Hover a teammate to see what they do.Tap a teammate to see what they do.

Cody at work

Loading the map

Cody lives in your editor.

Install the thinQit Cody plugin, open your project and describe the change. Cody works on your branch and shows every step as it happens.

  • Plan, Ask first or Auto. You decide how much Cody does on its own.
  • Test driven runs. Cody writes the tests first and shows you the results.
  • Right-click to change the page. Point at any element in the preview and say what to change.
  • Merge conflicts handled. Cody pulls, merges and explains what it kept.

Pick a Q-plan. Get more Cody for your money.

A Q-plan gives you up to 8x more Cody work than paying per credit. Each plan is a monthly subscription.

Start free
Q-Explore
€9.99a month
Cody work for your moneyup to 1.5x

For trying Cody on real changes in your own repository.

Q-Boost
€29.99a month
Cody work for your moneyup to 3x

For developers who hand Cody a few changes every week.

Best valueQ-Max
€119.99a month
Cody work for your moneyup to 8x

For teams that let Cody build every day.

Rather pay as you go? Credit packs of 25, 125 or 500 credits at €1 a credit.A typical change uses about 3 credits.

Cody vs Claude Code, OpenAI Codex and Cursor

Cody vs Claude Code, OpenAI Codex and Cursor
CapabilityCodyClaude CodeOpenAI CodexCursor
Mission MapSee the plan move through your repositoryLive map of services and filesNo repository mapNo repository mapNo repository map
Decision modesChoose how much it does on its ownPlan, Ask first, Auto with risk rulesPlan, ask, auto with a safety checkApproval modes, risk-rated auto reviewAgent, Plan and Ask modes
Smart model routingThe right model for each stepPicks the model for every stepOpus plans, Sonnet builds (opusplan)You pick the model and effortAuto picks a model per request
Two-model reviewAnother top model checks the changeBuilt by one model, checked by anotherCode Review on GitHub, Team plans@codex review on pull requestsBugbot reviews pull requests
Point & ChangePick an element in the live previewRight-click any element, say the changeDrives Chrome, no element pickerClick an element and commentBuilt-in browser, no documented picker
Test-driven runsTests first, results as evidenceTests first, with an evidence reportRuns your tests, no reportCloud tasks show test resultsRuns tests in the terminal
Conflict resolverMerges conflicting changes for youPulls, merges, explains what it keptResolves merge conflictsNot in public docsNot in public docs
Cost per stepSee what each step costs, keep a budgetCredits per step, monthly allowanceSession estimate, optional spend limitCredits with 5-hour allowancesUsage billing, no cap documented
Where it runsWhere you can use itWeb app and VS CodeCLI, IDEs, desktop, web, SlackCLI, IDE, app, web, mobileOwn editor, CLI, web, Slack
Price fromLowest paid plan for one person€9.99 a month, free to start$20 a month (Pro)$8 a month (ChatGPT Go), free tier$20 a month (Pro), free Hobby tier
Built inPartlyNot available or not documentedBased on each product's public documentation, October 2026. Names are trademarks of their owners.

Open Cody's page

MORE PRODUCTS

Also from thinQit

Codex builds a new website or web app. AI teammates keep the recurring work going after launch.

Website and web app builder

Codex

Describe the website or web app you need. Codex plans the pages, designs them and builds the result, ready to publish.

Explore Codex
  • SophiaSEO & GEO
  • SamSocial media
  • RileyVisual designer
  • RobertReporting

AI teammates

Teammates

Specialists for the work that keeps coming back: search, social media, design and reporting.

Meet the teammates

Choose the right thinQit starting point

Start with the part of product delivery that needs attention now, then connect the rest of the workflow when the team is ready.

thinQit turns defined product work into reviewable delivery

Cody changes your code and hands you a pull request to review. Codex builds websites and web apps from a clear brief. AI teammates take on recurring work such as SEO, social media, design and reporting. You check each result against the agreed outcome before it goes live.

thinQit, explained

How thinQit turns an idea into shipped work

Direct answers for teams evaluating the thinQit delivery system.

thinQit is an AI delivery workspace that connects product planning, shared context, specialist work, and reviewable evidence from idea to launch.

Teams can hand code changes to Cody, build websites and web apps in Codex, and assign recurring work to AI teammates.

Sophia keeps product answers current by turning approved context into answer-ready content and verifying what is visible on the live site.

What does thinQit do?

thinQit is an AI workspace for building and running digital products. Cody, the AI developer, changes your code and hands you a pull request. Codex builds websites and web apps. The AI teammates Sophia, Sam, Riley and Robert take on SEO and GEO, social media, visual design and reporting.

What is the difference between Cody and Codex?

Codex builds a new website or web app from your brief. Cody is the AI developer for code you already have: it maps your repository, plans the change, writes the code, runs your tests and opens a pull request, in the browser or in VS Code.

Can a team start with one thinQit product?

Yes. Start with the job you need done now, such as a code change with Cody, a new site with Codex or a teammate for SEO, and add the others later in the same workspace. You can start free, without a credit card.

How does thinQit keep AI delivery reviewable?

thinQit keeps AI delivery reviewable by preserving the task context, drafts, evidence and status updates around the work. Teams can set approval expectations for each workflow, so a production change can be checked against the agreed brief before it is accepted.

What should a team prepare before starting with thinQit?

A useful starting brief identifies the users, the problem, the essential workflow, delivery constraints and the evidence needed for approval. Codex can turn that brief into a website or web app, and Cody can turn it into a code change in your repository.

How does thinQit help a team turn an idea into a release?

thinQit helps a team turn an idea into a release by connecting a clear brief, shared project context, specialist AI work, review evidence and approval decisions. Teams can begin with one product surface and add the others as their delivery workflow needs them.

How does thinQit keep project context reusable across AI teammates?

thinQit keeps the brief, decisions, source material and review findings in one workspace. Cody, Codex and the AI teammates work from that same approved context, while human reviewers check each result against the outcome and evidence already recorded.

How does Sophia keep thinQit product answers current?

Sophia turns approved thinQit product context into answer-ready summaries, FAQs, internal links and technical checks. Each content change is tied to the relevant Cody, Codex or AI teammate workflow, then read back from the live page after publishing. This keeps public product explanations specific, reviewable and aligned with the delivery system.

Explore related thinQit pages

See Cody at work Build with Codex Meet the AI teammates Read practical guides Compare plans and pricing