5 vibecoding anti-patterns that wreck a project
No spec, unread code, zero tests, context rot and mega-prompts. Five mistakes and how to avoid them.
Editorial team
We cover vibe coding and practical AI in Polish: news, guides and reviews.
No spec, unread code, zero tests, context rot and mega-prompts. Five mistakes and how to avoid them.
Steering AI agents at the system level: module contracts, boundaries, and what stays with the human.
Two VS Code forks, two temperaments. Agent mode, context, pricing and a verdict on which to pick.
Spec-first, few-shot, test-first and four more patterns, each with an example code prompt.
Cursor, Windsurf, Zed, Trae, Aider and Copilot in VS Code. Strengths, pricing and who each suits.
When you need reasoning and when you need rigid JSON. The tension, the costs and a decision guide.
A Rust editor from the Atom team: speed, agent mode, downsides and who should switch.
What a prompt is, the anatomy of a good one, common mistakes and a simple routine to improve.
How a non-technical person can build a working app by talking to AI, without the hype.
A definition of vibecoding, the tool stack, and five anti-patterns that wreck projects.
Cloud QA agent built by three Polish ex-Callstack engineers. CLI, REST API, GitHub App: five integration patterns for Claude Code and Cursor.
AI code is neither secure nor insecure, it is unverified. The real risk classes and a checklist.
Write the spec, let the agent implement. Why a written spec beats prompting from memory.
Where writing code ends and steering an agent begins. Seven real differences.
Two reviews: the agent catches style and types, the human catches the misread domain.
Philosophies, models, ecosystem and pricing. No winner crowned, just who fits which use case.
Seven AI companies that matter in 2026: closed frontiers vs open weights, US, Europe and China.
Before your first prompt: repo, context, tests and a plan. Twelve steps.
Vibecoding at the system level: when loose prototyping gives way to discipline.
A map of the Polish AI scene: voice, robotics, dev tools, healthtech and analytics.
Five practices that hold quality when an agent writes most of the code.
A hands-on guide to Suno: style prompts, lyrics, regenerating, stems, and where AI fits next to a DAW.
Suno or Udio? We compare sound, vocals, editing, stems and licensing to help creators choose.
Can Suno/Udio output be copyrighted? Terms vs statute, the risks, and a creator checklist.
Sora, Runway, Veo, Kling, Pika and Luma. Strengths, clip length, control, pricing and what to pick for what.
Access, prompt anatomy, clip length, remix and common failure modes. A practical start with Sora.
Fitting AI clips into an edit: b-roll, upscaling, dubbing, color matching and a pipeline for a 60-second promo.
Midjourney, DALL-E, Flux, Stable Diffusion, Firefly and Ideogram. Realism, control, licensing and pricing.
Prompt anatomy, parameters, sref and cref, consistent characters and fixing hands. A hands-on guide.
Who owns it, what terms and law say, lawsuit risks and a checklist before a paid campaign. Not legal advice.
What actually gets hired: working with agents, RAG, evals and judgment. What is commoditizing and how to catch up.
Four project archetypes that signal real skill, READMEs with decisions, evals and the anti-patterns to avoid.
What AI really automates, what it does not, and how to shift from writing code to directing and reviewing.
What an agent is (LLM plus tools plus loop plus memory), the action loop, MCP and when to reach for one.
Terminal agent vs in-editor: multi-file edits, context, autonomy and a verdict on which to pick for what.
Model and SDK, tool definitions, the loop, memory, MCP, evals and deployment. Example: a GitHub issue-triage agent.