Journal
Journal: vibe coding
On this topic, 34 articles from the journal, from practical guides to behind the scenes of the product.

GitHub Universe 2026 opens today: what business owners should take away
GitHub Universe 2026 opens tonight in San Francisco. This article precedes the first announcement: it reports nothing and offers a framework. Three questions for the keynote, and what a noncoding business owner can ignore without loss.
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User stories explained simply: how to divide a product into steps
You may have been told your project will be divided into 'user stories'. The term belongs to developers and hides an idea you already practise when commissioning work: describe a step by what can be verified at the end.
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How to write an application brief: the perfect brief does not exist, start messy
A brief's blank page blocks more projects than the budget. A disorganised twenty-minute draft is enough to start, provided someone then asks the questions you missed and returns a clean document for your signature.
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The August 2026 GitHub outage: 2.9 billion code contributions per month
GitHub was unavailable almost eight hours on August 17, 2026 and three days later published the figure explaining it: monthly code submissions had doubled since April. What that wave changes for anyone having software built.
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Cursor vs Windsurf: the latter is now Devin Desktop, and the question has changed
Searching 'Cursor vs Windsurf' in 2026 leads to an outdated comparison: Windsurf changed names through an automatic update in June 2026, and its old pricing page redirects. What remains to compare, and what neither does for you.
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Exposed API keys in an AI-built application: what an auditor sees
An application delivered in three days welcomes its first users and everything seems to work. An auditor opens it and checks the same three places. What they find, why the demo hides it, and what a business owner can require without reading code.
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Emergent review 2026: the autonomous agent targeting France, and the autonomy argument
Emergent builds an entire application while you watch, claims half a million applications created in France, and sells autonomy as its advantage. What it does better than us, and the three missing pages.
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Building an application with ChatGPT: what you get and what is missing
Building an application with ChatGPT works up to an identifiable point. What the conversation provides, what OpenAI's coding agent adds, what it costs, and the three things it will not do for you.
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Our Manus review in 2026: the autonomous agent that does everything except let you decide
A Manus review depends on what you ask it to do. For producing market research or a report overnight, the autonomous agent is the market's most versatile. For building software you will maintain for three years, the question changes.
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Project scoping: an AI that asks questions is better than one that guesses
A founder sums up the problem in one sentence: without a real specification, the tool designs things its own way and they spend their time catching up. Scoping through questions solves this before the first line of code, provided someone asks them.
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Build an app with Claude Code without knowing how to code
Subscription, usage limits, interfaces without a terminal, a brief, five steps and checks: how to have Claude Code build an app when you can't code. Prices and documentation checked on October 10, 2026.
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Build a mobile application with AI without coding: what remains before publishing
Three tools now build mobile applications from written instructions, and one submits to the App Store in two clicks. What they charge, what you take when leaving, and the part of the work none of them writes.
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Keila, an iPhone app built with Maestro
Finding a kosher, vegan or vegetarian restaurant in Paris without calling three people: that's the idea behind Keila. Both the app and its website were built with Maestro. What it does, how it was made, and what's left before the App Store.
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Codex or Claude Code: the choice explained for someone who will never open a terminal
Two coding agents with the same entry price, two ways of counting consumption, and a French question with no answer online. What each does well, what neither requires, and why the choice should remain a setting.
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Maintaining an AI-built application: understanding what you had built
Vibe coding works until someone has to take over the application. Two accounts, one from a founder and one from a French developer, describe the same wall. What brings it down is a document you have read and approved.
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What building an application with AI really costs: $2,000, zero users
An interface designer reports spending $2,000 on vibe coding tools for almost no users, with small features costing over $10 apiece. The expense comes from everything that had to be rewritten after the first code was produced.
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v0 or Lovable: one builds a screen, the other an application, neither writes the specification
v0 excels at interfaces and fits into teams that already have review rules. Lovable puts a complete application online in an evening. Neither produces the document stating what the product must do, and that absence has a later cost.
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A free AI assistant delivering code that did not compile: three tuning passes
We wanted a route without a subscription. We put a free assistant on our test bench, and it delivered twenty-five approved stages whose code would not launch. What three tuning passes taught us, about it and especially ourselves.
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How do you describe your app idea to AI?
You know what your app should do, but not how to ask for it. Start with this reusable example, then answer a few questions to make your idea clearer without technical vocabulary.
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Claude Code or Cursor: which should you choose without coding skills?
Claude Code and Cursor without coding skills: interfaces, prices, plans and checks. A practical comparison to help you choose, including where Maestro fits.
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Read application requirements without a technical background
Take an example from your work and follow it through the document. Six questions help identify what is missing, what is unclear and what you can already approve.
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AI fixes one thing and breaks another: what should you do?
You add a phone field and the confirmation email disappears. How to describe the problem, limit the next fix and check what needs to stay unchanged.
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Is your customer data protected? Three initial checks
A sign-in screen is not enough to check who can see your data. Three simple trials on your own app, followed by the evidence to request from its builder.
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Build an app without coding: a guide to your first project
From a need to the first real use: choose an approach, write a brief, plan costs and check the result. A complete example to help you move forward without technical vocabulary.
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Why agency prices have not followed the fall in AI costs
What cost $60 per million tokens in late 2021 now costs between $0.06 and $0.40 at equivalent performance, a reduction of 150 to 1,000 times. Meanwhile, a developer's average daily rate in France remains around €629. Someone is keeping that margin.
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AI makes experts slower: why approval must be an architecture, not a chore
The METR study measured experienced developers as 19% slower with AI, while they believed they were 20% faster. Review and verification consumed the gain. The problem is not review: it is where we put it.
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Building business software with AI: pitfalls and practical checks
From the first demo to everyday work: twelve checkpoints, a fictional workshop and examples for checking calculations, data, access, costs and recovery.
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Prototype, MVP or application: when is it ready for real users?
A prototype explores an idea; an MVP tests a limited use. Before involving real users, check the complete journey and record the evidence needed to approve a pilot.
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How do you check an application when you cannot code?
Two customers book the same time: what should happen? This example explains what a test is for, why to prepare it early and what you can check yourself.
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No-code or AI: is learning Bubble still worthwhile in 2026?
Unsure whether to use a visual editor or build an app with AI? Bubble offers both. The choice mainly depends on how you want to change and maintain your tool.
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Vibe coding, explained with a small application
You describe a need, AI writes code and you try the result. A customer-tracking example explains what this approach offers and what you need to check.
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Lovable, Bolt, v0 or Maestro: which AI tool should you choose for your application?
Compare project preparation, construction, publishing and code handover. A reading of documented capabilities to help you choose for your needs, including Maestro's limitations.
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Your application’s rules are worth keeping too
A discount, a cancellation, restricted access: these decisions explain your application. Keeping them in writing makes corrections and handovers easier.
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Directing AI agents without coding: the decisions you make
To build a calendar or a tracking tool, you already know an essential part of the job: the need. Here is how to explain it, follow the work and check the result.
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