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Your Daily Feed

Learn vibe coding like a feed.

One card, one clear impulse: news, visuals and small quizzes take you step by step from the first prompt to a better build.

  • Swipe, scroll or use the arrow keys
  • Learn actively instead of just consuming
  • Collect Vibe Points for understood content
Miniature globe with a reset ring and connected network nodes.Practical guide
3 min read

Codex Reset for 25 Million Users: What Is Available Again

The global Codex reset of August 31, 2026 explained: who it covered, which limits matter, and how to use the renewed capacity without guessing.

CodexOpenAIUsage Limits

Quick explainer

The vibe-coding loop

Good AI projects are not created in one giant prompt. You work in short loops and verify every visible step.

  • Define the goal and the smallest next step
  • Write a concrete prompt with context
  • Run the result and make it visible
  • Verify, give feedback and improve deliberately

Mini quiz

Which prompt gets you closer to the goal?

You want to build a responsive landing page. Which instruction gives the AI a better foundation?

A miniature owl climbs platforms toward a glowing goal.Practical guide
6 min read

Claude Opus 5: What Actually Changes for Your Vibe Coding Project

Claude Opus 5 in practical terms: why thinking now runs by default, how the effort ladder works, what the upgrade from Opus 4.8 really costs and which checks stay yours.

AIAnthropicClaude Opus 5

Quick explainer

From idea to published site

ChatGPT Sites shortens the path to a web experience, but not the review. Move from a clear brief through a private preview to a version you deliberately release.

  • Describe the audience, task, and constraints
  • Open a private preview with realistic states
  • Check content, interaction, mobile, and failures
  • Save the reviewed version and publish consciously

Mini quiz

Which projects fit ChatGPT Sites?

Select the two projects that are especially suitable for a focused Sites starting point.

Select every answer that applies.
Miniature workspace with token blocks and controls for context and budget.Practical guide
5 min read

Keeping AI Costs Under Control: What Building With AI Really Costs

Why your AI bill surprises you, which four levers actually work, and the one limit to set before you ever make your first API call.

AICostsTokens

Quick explainer

Anatomy of a good prompt

A useful prompt is not a novel. Four clearly separated parts are often enough for focused work and a verifiable result.

  • Goal: What must actually work in the end?
  • Context: What already exists and must be preserved?
  • Output: Which format, route or component is expected?
  • Check: How will you know the task is complete?

Mini quiz

Can you verify an AI news item?

What should you check before repeating a current AI announcement?

Select every answer that applies.
Miniature website with checkpoints on the way to publication.Practical guide
5 min read

How do you check an AI-built website before publishing?

Use a seven-point release check for scope, user flows, failures, forms, accessibility, security, performance, approval, and rollback.

Vibe CodingTestingWebsites

Quick explainer

Context works in layers

AI works better when you move from a stable goal toward the specific work surface instead of pasting everything at once.

  • Goal layer: user outcome and success criterion
  • Project layer: existing rules, stack, and components
  • Task layer: smallest next step and affected files
  • Check layer: tests and the visible real flow

Mini quiz

Order the build loop

Put the four steps into a dependable working order.

  1. 1Build the smallest useful step
  2. 2Define the goal and success criterion
  3. 3Check tests and the real user flow
  4. 4Read the existing context and constraints

A miniature owl guides connected coding and verification steps.Practical guide
6 min read

Claude Opus 4.8: What the new model means for vibe coding

A practical guide to Claude Opus 4.8: when Anthropic's new model helps with complex coding, how effort works, and which verification steps still matter.

AIAnthropicClaude Opus 4.8

Mini quiz

What comes after the first AI result?

The new interface looks good on your laptop. What is the best next step?

Quick explainer

Debug signals, not guesses

When something fails, reduce uncertainty with observable signals. That also gives the AI better context.

  • Capture the error and reproducible steps
  • Isolate the smallest affected state
  • Change one hypothesis instead of several things
  • Confirm the fix with a test and the real flow

Mini quiz

What do you do when the failure is too broad?

A new feature fails in several places at once. Which next step creates the most clarity?

Mini quiz

Who is responsible for a published site?

ChatGPT created the site and you published it. Who must review its content, privacy, access, and behavior before release?

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With your consent, PostHog EU measures which pages are opened and additionally records your session: mouse movement, clicks, scrolling and the rendered page content are stored as a replayable reconstruction. Typed input is masked before sending. The contents of sign-in, sign-up, password recovery, the founder chat, the newsletter field, your email display, your quiz answers and the checklists are not recorded at all; on the sign-in and sign-up pages recording is paused. Addresses are always stored without query parameters. A random device identifier and technical connection data such as the IP address are processed as well. In addition, strictly defined usage events are measured: how far a post was read, which article element was used, which call to action was clicked, how a newsletter sign-up ended, how far you get in a course or in the feed (recording only whether a task was correct or incorrect, never your answer itself), which video you start, whether you switch the language, and how a sign-in or sign-up attempt ended — without the email address, without the password, and without the error message. Only values from a fixed list and whole numbers from fixed ranges are transmitted — no input and no free text. We also label production, internal, and automated test visits separately and derive whether a visit came from a known interface such as ChatGPT, Claude, or Perplexity from a known referring domain or a strictly allowed campaign value. The full referring address and query parameters are not sent, and this cannot identify a specific AI model. If PostHog's IP-based geo enrichment is enabled in the project, the service can derive an approximate country, continent, and region; we do not request browser or GPS location. Every visit is also assigned to a page area from a fixed list (for example home, blog, tools, account) — the area is sent, not the address. Page loading and stability metrics are measured as well (Core Web Vitals: LCP, CLS, INP, FCP), without network payloads. A click on a link leading away from the site is recorded only as the target domain from a fixed list, without path, query parameters, or link text. For the Idea Wheel, AI Labelling and Limit Reset tools only the kind of action is measured — spin, option changed, copy or export, for instance — never your input and never a result. Learn more about privacy

Without your consent no analytics code is loaded and nothing is recorded. You can withdraw at any time: withdrawal ends collection immediately; data already collected may have been transmitted by then and is deleted after the storage period.