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40%","2026-10-15T04:15:18.572Z",{"id":781,"type":304,"title":379,"body":782,"tool_name":381,"z2u_price":726,"z2u_url":382,"status":310,"read_at":48,"created_at":783},1261,"Platforma: Dealify | Kategoria: Creative | Cena: €66.95 (regular: €225.95) | Rabat: 70%","2026-10-15T04:15:18.431Z",{"id":785,"type":304,"title":386,"body":786,"tool_name":388,"z2u_price":726,"z2u_url":389,"status":310,"read_at":48,"created_at":787},1260,"Platforma: Dealify | Kategoria: Creative | Cena: €66.95 (regular: €257.95) | Rabat: 74%","2026-10-15T04:15:18.289Z",{"id":789,"type":304,"title":401,"body":790,"tool_name":403,"z2u_price":726,"z2u_url":404,"status":310,"read_at":48,"created_at":791},1259,"Platforma: Dealify | Kategoria: Productivity | Cena: €66.95 (regular: €669.95) | Rabat: 90%","2026-10-15T04:15:16.690Z",{"id":793,"type":304,"title":408,"body":790,"tool_name":409,"z2u_price":726,"z2u_url":410,"status":310,"read_at":48,"created_at":794},1258,"2026-10-15T04:15:16.547Z",{"id":796,"type":304,"title":797,"body":798,"tool_name":799,"z2u_price":765,"z2u_url":800,"status":310,"read_at":48,"created_at":801},1257,"💰 StickyPassword — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €32.95 (regular: €218.95) | Rabat: 85%","StickyPassword","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fstickypassword","2026-10-15T04:15:15.904Z",{"id":803,"type":304,"title":804,"body":805,"tool_name":806,"z2u_price":765,"z2u_url":807,"status":310,"read_at":48,"created_at":808},1256,"💰 Notepad — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €32.95 (regular: €329.95) | Rabat: 90%","Notepad","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fnotepad","2026-10-15T04:15:15.108Z",{"id":810,"type":304,"title":811,"body":812,"tool_name":813,"z2u_price":814,"z2u_url":815,"status":310,"read_at":48,"created_at":816},1255,"💰 FlashBooks — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €282.95 (regular: €1973.95) | Rabat: 86%","FlashBooks",282.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fflashbooks","2026-10-15T04:15:14.664Z",{"id":818,"type":304,"title":819,"body":820,"tool_name":821,"z2u_price":822,"z2u_url":823,"status":310,"read_at":48,"created_at":824},1254,"💰 Envoice — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €157.95 (regular: €1576.95) | Rabat: 90%","Envoice",157.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fenvoice","2026-10-15T04:15:12.373Z",{"id":826,"type":304,"title":452,"body":827,"tool_name":454,"z2u_price":726,"z2u_url":455,"status":310,"read_at":48,"created_at":828},1253,"Platforma: Dealify | Kategoria: Business | Cena: €66.95 (regular: €669.95) | Rabat: 90%","2026-10-15T04:15:12.225Z",{"id":830,"type":304,"title":459,"body":831,"tool_name":461,"z2u_price":609,"z2u_url":463,"status":310,"read_at":48,"created_at":832},1252,"Platforma: Dealify | Kategoria: Business | Cena: €336.95 (regular: €3369.95) | Rabat: 90%","2026-10-15T04:15:11.677Z",{"id":834,"type":304,"title":835,"body":836,"tool_name":837,"z2u_price":838,"z2u_url":839,"status":310,"read_at":48,"created_at":840},1251,"💰 LeadLocator — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €191.95 (regular: €1917.95) | Rabat: 90%","LeadLocator",191.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fleadlocator","2026-10-15T04:15:11.332Z",{"id":842,"type":304,"title":482,"body":843,"tool_name":484,"z2u_price":726,"z2u_url":485,"status":310,"read_at":48,"created_at":844},1250,"Platforma: Dealify | Kategoria: Social Media | Cena: €66.95 (regular: €669.95) | Rabat: 90%","2026-10-15T04:15:09.802Z",{"id":846,"type":304,"title":489,"body":843,"tool_name":490,"z2u_price":726,"z2u_url":491,"status":310,"read_at":48,"created_at":847},1249,"2026-10-15T04:15:09.556Z",[849],{"id":850,"slug":851,"canonical_url":852,"cover_image":853,"published_at":854,"last_refreshed_at":855,"reading_time_min":206,"pillar_id":856,"author_id":857,"draft_id":864},"1913a3d1-f8f9-46c9-8cde-d762bb50d13c","60-000-repozytoriow-github-juz-ma-agents-md-twoj-projekt-czeka","https:\u002F\u002Fai-odkrywca.pl\u002Fposts\u002F60-000-repozytoriow-github-juz-ma-agents-md-twoj-projekt-czeka","03e867ca-2182-44f8-86f9-4c86b822db48","2026-08-06T06:04:28.958Z","2026-10-23T10:17:25.934Z",{"id":10,"name":12,"slug":11,"color_token":13},{"display_name":858,"slug":859,"bio_short":860,"social_links":861},"Andrzej Niemiec","andrzej-niemiec","Fanatyk nowych technologii i specjalista w zakresie sztucznej inteligencji.",{"linkedin":862,"x":48,"github":48,"website":863},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fandrzej-niemiec-b3ab60220\u002F","https:\u002F\u002Faion-automation.pl",{"title":865,"meta_description":866,"body_mdx":867,"word_count":413,"author_type":868,"ai_model_used":869,"schema_type":870},"AGENTS.md: co to jest, kto go czyta i co wpisać do pliku (2026)","AGENTS.md to plik Markdown z instrukcjami dla agentów kodujących. Wyjaśniamy, kto go czyta natywnie, co zawierać i co mówią badania o jego skuteczności.","## Czym jest AGENTS.md i do czego służy?\n\nAGENTS.md to wersjonowany plik Markdown w repozytorium, który przekazuje agentowi kodującemu kontekst projektu: komendy instalacji, build, test i lint, strukturę katalogów, konwencje kodu oraz granice bezpieczeństwa. Format nie ma obowiązkowego schematu ani wymaganych sekcji — to zwykły Markdown, który uzupełnia README, a nie zastępuje dokumentacji dla ludzi [2][8]. Sam plik nie koduje, nie testuje i nie egzekwuje reguł; opisuje warunki pracy agenta.\n\nJeśli dopiero porównujesz narzędzia, zacznij od huba [AI do programowania](\u002Fai-do\u002Fprogramowania) — zbieramy tam przewodniki po agentach i ich konfiguracji. Warto znać chronologię formatu. AGENTS.md wydano w sierpniu 2025 roku [1]. 9 grudnia 2025 roku Linux Foundation ogłosiła utworzenie Agentic AI Foundation (AAIF), a AGENTS.md został jednym z jej projektów założycielskich obok Model Context Protocol i goose [1]. Governance ma być neutralne: OpenAI pozostaje fundatorem, ale nie jest już jedynym właścicielem formatu [1].\n\n## Kto czyta AGENTS.md, a kto CLAUDE.md lub GEMINI.md?\n\nAGENTS.md czyta część narzędzi natywnie, ale nie wszystkie — i nie zastępuje plików, które poszczególni producenci zostawili dla siebie. Codex, GitHub Copilot, Cursor, Jules, Devin, Factory i VS Code wspierają AGENTS.md, jednak nazwy i mechanizmy plików natywnych nadal się różnią [1][9]. Claude Code korzysta z CLAUDE.md, a Gemini CLI domyślnie z GEMINI.md [1][9].\n\n| Kryterium | AGENTS.md | CLAUDE.md | GEMINI.md |\n|---|---|---|---|\n| Kto czyta natywnie | Codex, Copilot, Cursor, Jules, Devin, VS Code | Claude Code | Gemini CLI |\n| Zakres | wspólny dla wielu narzędzi | instrukcje jednego narzędzia | instrukcje jednego narzędzia |\n| Wymagany schemat | brak | brak | brak |\n| Warstwowość w monorepo | opisana w dokumentacji Codeksa | nieopisana w źródłach | nieopisana w źródłach |\n\nWniosek praktyczny: jeśli zespół używa kilku asystentów, AGENTS.md jest jedynym plikiem, który wszystkie przeczytają w tej samej postaci. Jeśli pracujecie wyłącznie w jednym narzędziu, plik natywny producenta wystarczy. O automatyzacji pracy zespołu z asystentami piszemy też w tekście o [Codeksie w sprzedaży i forecastach bez kodu](\u002Fposts\u002Fcodex-w-sprzedazy-jak-polskie-zespoly-automatyzuja-briefy-i-forecasty-bez-kodu).\n\n## Ile projektów naprawdę używa AGENTS.md?\n\nLinux Foundation podała 9 grudnia 2025 roku, że format przyjęło ponad 60 000 projektów open source i frameworków [1]. To deklaracja projektu i fundacji, nie audytowane zestawienie repozytoriów, dlatego liczbę warto podawać z tym zastrzeżeniem.\n\nW niezależnych opracowaniach liczba bywa skracana do „60 000 repozytoriów GitHub”, choć oficjalny komunikat nie używa takiego sformułowania i nie wskazuje publicznego zestawienia do weryfikacji [1]. Skala adopcji jest realna, ale dokładny mianownik pozostaje deklaracją. Podobny problem mają inne liczby krążące w sieci — na przykład listy narzędzi wspierających format, które mieszają wsparcie natywne z odczytem przez import lub konfigurację [1][9].\n\n## Co wpisać do AGENTS.md?\n\nPlik powinien zawierać konkretne komendy instalacji, build, test i lint, opis struktury repozytorium, konwencje kodu, workflow Git oraz granice bezpieczeństwa — na przykład zakaz modyfikacji sekretów i konfiguracji produkcyjnej [4]. GitHub opublikował wskazówki oparte na ponad 2 500 repozytoriach [4].\n\nSensowny minimalny zestaw wygląda tak:\n\n- komendy startowe: instalacja zależności, build, test, lint — dokładnie w formie, w jakiej działają w repozytorium;\n- mapa struktury: które katalogi są krytyczne i co zależy od czego;\n- konwencje: nazewnictwo, frameworki, formatowanie, obsługa błędów;\n- granice: czego nie wolno zmieniać, gdzie leżą sekrety i konfiguracja produkcyjna;\n- workflow Git: nazwy gałęzi, wymagania pull requestu, obowiązkowe testy.\n\nNie ma obowiązkowych pól ani schematu [2][8]. Krótszy plik z prawdziwymi komendami jest lepszy niż obszerny dokument opisujący intencje. Bezpieczeństwo łańcucha dostaw w repozytoriach to osobny temat — pisaliśmy o nim w artykule o [rozszerzeniu VS Code, które naraziło 3800 repozytoriów](\u002Fposts\u002Fvs-code-kontra-github-jak-jedno-rozszerzenie-narazilo-3800-repozytoriow-i-co-z-tym-zrobic).\n\n## Czy AGENTS.md poprawia wyniki agentów?\n\nBadania dają mieszany obraz. Pliki pisane przez deweloperów mogą nieznacznie poprawiać skuteczność, ale zwiększają liczbę kroków i koszt; pliki generowane przez modele językowe często pogarszały wyniki [5]. AGENTS.md dostarcza kontekst, nie gwarantuje jakości.\n\n| Kryterium | Badanie AGENTbench | Mniejsze badanie efektywności |\n|---|---|---|\n| Próba | 138 zadań w 12 repozytoriach | 10 repozytoriów i 124 pull requesty |\n| Wpływ na skuteczność | niewielka poprawa lub jej brak | wyniki wstępne, nie potwierdzone szerzej |\n| Wpływ na koszt | więcej kroków i wyższy koszt wnioskowania | mediana czasu niższa o 28,64%, tokenów o 16,58% |\n| Pliki generowane przez LLM | często pogarszały wyniki | nie badano w tym wariancie |\n\nDrugie z badań odnotowało medianę czasu krótszą o 28,64% i zużycie tokenów mniejsze o 16,58%, ale autorzy opisali wyniki jako wstępne [6]. Rozbieżność między badaniami nie jest sprzecznością — różnią się skalą, doborem zadań i sposobem mierzenia kosztu. Praktyczny wniosek dla zespołu: traktuj plik jako element procesu, a nie jako zabezpieczenie przed błędami. Ani dokumentacja Codeksa, ani GitHub nie opisują AGENTS.md jako mechanizmu egzekwowania — instrukcja nie uruchomi testów za agenta [3][4].\n\n## Jak działa AGENTS.md w monorepo?\n\nCodex dokumentuje warstwowe wyszukiwanie plików AGENTS.md oraz AGENTS.override.md — narzędzie stosuje instrukcje właściwe dla danego drzewa katalogów [3]. W monorepo oznacza to, że plik w katalogu pakietu może doprecyzować reguły z katalogu głównego.\n\nPraktyka jest prosta: w korzeniu trzymaj reguły wspólne dla całego repozytorium, a w podkatalogach tylko to, co różni się między pakietami — komendy testów, wersje frameworków, zakazy charakterystyczne dla modułu. Nie duplikuj treści, bo rozjazd między kopiami jest trudny do wykrycia. Jeśli używasz wielu narzędzi jednocześnie, sprawdź ich dokumentację osobno: hierarchia plików natywnych nie musi działać identycznie [3][9].\n\n## Najczęstsze pytania\n\n### Czy AGENTS.md jest formalnym standardem?\n\nNie w sensie ISO czy IETF. Linux Foundation nazywa go prostym, uniwersalnym standardem, a projekt jest pod opieką AAIF [1]. Trafniejsze określenie to otwarty, de facto standard lub wspólny format. Nie ma organu certyfikującego ani obowiązkowej walidacji treści, więc „standard” oznacza tu raczej powszechną konwencję niż specyfikację techniczną [2][8].\n\n### Czy AGENTS.md zastępuje CLAUDE.md?\n\nNie. Claude Code korzysta z CLAUDE.md, a Gemini CLI domyślnie z GEMINI.md, więc plik uniwersalny nie wyłącza plików natywnych [1][9]. W praktyce utrzymuje się AGENTS.md jako warstwę wspólną i krótkie pliki natywne z odwołaniem do niego. Dzięki temu zmiana konwencji w zespole trafia w jedno miejsce, a nie w trzy kopie.\n\n### Czy AGENTS.md musi mieć określony schemat?\n\nNie ma obowiązkowych sekcji ani pól. Format to zwykły Markdown, a dokumentacja projektu opisuje go jako uzupełnienie README, nie zamiennik dokumentacji dla ludzi [2][8]. Zespół sam decyduje o układzie. Warto jednak trzymać stałą kolejność sekcji, żeby agent i nowi członkowie zespołu znajdowali informacje w przewidywalnym miejscu.\n\n### Czy wystarczy wygenerować AGENTS.md modelem?\n\nNie ma na to dowodów, a badanie AGENTbench wskazuje, że pliki generowane przez LLM często pogarszały wyniki agentów [5]. Plik pisany przez dewelopera ma szansę nieznacznie pomóc, ale zwiększa koszt i liczbę kroków [5]. Najbezpieczniej zacząć od ręcznie spisanych komend, które naprawdę działają w repozytorium, a model wykorzystać tylko do redakcji tekstu.\n\n### Od czego zacząć w małym projekcie?\n\nOd jednego pliku w katalogu głównym: komendy instalacji, build i test, krótki opis struktury oraz lista rzeczy zakazanych [4]. To wystarczy, żeby agent nie zgadywał poleceń. Reszta — konwencje, workflow Git, reguły pull requestów — może dojść później, gdy pojawi się realny problem do rozwiązania, a nie z góry przyjęty szablon.\n\n## Źródła\n\n1. [Linux Foundation Announces the Formation of the Agentic AI Foundation (AAIF), Anchored by New Project Contributions Including Model Context Protocol (MCP), goose and AGENTS.md (Linux Foundation, 2025)](https:\u002F\u002Fwww.linuxfoundation.org\u002Fpress\u002Flinux-foundation-announces-the-formation-of-the-agentic-ai-foundation)\n2. [AGENTS.md (agents.md, 2026)](https:\u002F\u002Fagents.md)\n3. [Custom instructions with AGENTS.md (OpenAI, 2026)](https:\u002F\u002Fdevelopers.openai.com\u002Fcodex\u002Fguides\u002Fagents-md)\n4. [How to write a great agents.md: Lessons from over 2,500 repositories (The GitHub Blog, 2026)](https:\u002F\u002Fgithub.blog\u002Fai-and-ml\u002Fgithub-copilot\u002Fhow-to-write-a-great-agents-md-lessons-from-over-2500-repositories)\n5. [Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents? (arXiv, 2026)](https:\u002F\u002Farxiv.org\u002Fhtml\u002F2602.11988v1)\n6. [On the Impact of AGENTS.md Files on the Efficiency of AI Coding Agents (arXiv, 2026)](https:\u002F\u002Farxiv.org\u002Fhtml\u002F2601.20404v2)\n7. [AGENTS.md — a simple, open format for guiding coding agents (GitHub, agentsmd\u002Fagents.md)](https:\u002F\u002Fgithub.com\u002Fagentsmd\u002Fagents.md)\n8. [AGENTS.md Complete Guide for Engineering Teams (BuildBetter, 2026)](https:\u002F\u002Fblog.buildbetter.ai\u002Fagents-md-complete-guide-for-engineering-teams-in-2026)\n9. [AGENTS.md Guide (2026): Copilot, Cursor & More (vibecoding.app, 2026)](https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fagents-md-guide)\n10. [AGENTS.md (Atlan Docs, 2026)](https:\u002F\u002Fdocs.atlan.com\u002Fagents\u002Fconcepts\u002Fagents-md)\n11. [Codex AGENTS.md Explained: How Team Instructions Work (Verdent, 2026)](https:\u002F\u002Fwww.verdent.ai\u002Fguides\u002Fcodex-agents-md-explained)","ai_generated","deepseek\u002Fdeepseek-v4.1-flash","Article",[872,880,887,894,901,908,916,924,931,936,943,948,953,958,965,970],{"id":873,"slug":874,"reading_time_min":875,"pillar_id":876,"draft_id":877},"fad1d7ad-8fa0-43af-b45a-a0be58875324","codex-w-operacjach-biznesowych-jak-zamienic-20-godzin-pracy-w-8-minut",11,{"color_token":13},{"title":878,"meta_description":879},"Codex w operacjach biznesowych: jak zamienić 20 godzin pracy w 8 minut","W zeszłym miesiącu zespół operacyjny firmy produkcyjnej z Łodzi spędził 28 godzin na przygotowaniu pakietu decyzyjnego dla zarządu. Po wdrożeniu Codex ten sa…",{"id":881,"slug":882,"reading_time_min":231,"pillar_id":883,"draft_id":884},"1d9444f2-f6f3-45b5-9365-57b448334476","ai-w-sprzedazy-5-zadan-ktore-przestaja-zajmowac-czas-twojemu-zespolowi",{"color_token":13},{"title":885,"meta_description":886},"AI w sprzedaży: 5 zadań, które przestają zajmować czas twojemu zespołowi","Handlowiec w polskiej firmie B2B spędza średnio 12 godzin tygodniowo na przygotowywaniu briefów, analizowaniu zablokowanych transakcji i aktualizowaniu CRM. …",{"id":888,"slug":889,"reading_time_min":206,"pillar_id":890,"draft_id":891},"3711d3a5-d1b6-41f0-83bf-cede7e357934","codex-w-operacjach-jak-polskie-firmy-odzyskuja-15-godzin-tygodniowo",{"color_token":13},{"title":892,"meta_description":893},"Codex w operacjach: jak polskie firmy odzyskują 15 godzin tygodniowo","Zespół operacyjny w polskiej firmie konsultingowej spędzał średnio 20 godzin tygodniowo na tworzeniu briefów strategicznych. Po wdrożeniu Codex OpenAI czas t…",{"id":895,"slug":896,"reading_time_min":293,"pillar_id":897,"draft_id":898},"15de5316-98c5-4e40-bfd7-15db1ee47fd3","codex-w-sprzedazy-jak-polskie-zespoly-automatyzuja-briefy-i-forecasty-bez-kodu",{"color_token":13},{"title":899,"meta_description":900},"Codex w sprzedaży: jak polskie zespoły automatyzują briefy i forecasty bez kodu","Wczoraj o 16:30 menedżer sprzedaży w warszawskiej spółce SaaS spędził 2 godziny na ręcznym przygotowaniu briefu pipeline. Dziś ten sam dokument generuje w 2 …",{"id":902,"slug":903,"reading_time_min":231,"pillar_id":904,"draft_id":905},"ab48fe44-3cec-4ee3-9c7a-e04587d706a4","codex-w-sprzedazy-jak-oszczedzic-10-godzin-tygodniowo-bez-pisania-kodu",{"color_token":13},{"title":906,"meta_description":907},"Codex w sprzedaży: jak oszczędzić 10 godzin tygodniowo bez pisania kodu","Zespół sprzedażowy w polskiej firmie logistycznej spędzał średnio 3 godziny dziennie na przygotowywaniu briefów i analizie zablokowanych transakcji. Po wdroż…",{"id":909,"slug":910,"reading_time_min":911,"pillar_id":912,"draft_id":913},"d65aeb1e-b7f5-4221-836c-4e751d758397","czy-twoje-narzedzia-ai-to-tylko-cyfrowy-smietnik-jak-przestac-placic-za-nieuzywane-zakladki",9,{"color_token":13},{"title":914,"meta_description":915},"Czy twoje narzędzia AI to tylko cyfrowy śmietnik? Jak przestać płacić za nieużywane zakładki","W zeszłym miesiącu zespół marketingu w jednej z warszawskich agencji reklamowych wydał 2400 zł na subskrypcje narzędzi AI. Dziś połowa z nich leży w folderze…",{"id":917,"slug":918,"reading_time_min":919,"pillar_id":920,"draft_id":921},"b77317b3-6449-4e20-bcc2-40177a5635c3","debata-agentow-ai-jak-10-modeli-wygenerowalo-guardrails-za-1-3-ceny",8,{"color_token":13},{"title":922,"meta_description":923},"Debata agentów AI: jak 10 modeli wygenerowało guardrails za 1\u002F3 ceny","Firma Diamant AI wdrożyła metodę \"Vibe Training\" i w 48 godzin uzyskała 50 tysięcy przykładów do trenowania guardrails. Koszt? 2 razy niższy niż przy tradycy…",{"id":925,"slug":926,"reading_time_min":206,"pillar_id":927,"draft_id":928},"6f5c7a22-1999-4ee4-8abf-82ed26b88ca4","codex-w-sprzedazy-jak-polskie-firmy-automatyzuja-briefy-i-forecasty-bez-kodu",{"color_token":13},{"title":929,"meta_description":930},"Codex w sprzedaży: jak polskie firmy automatyzują briefy i forecasty bez kodu","Handlowiec z firmy SaaS spędza średnio 12 godzin tygodniowo na przygotowywaniu briefów, forecastów i pakietów do spotkań. Codex OpenAI robi to samo w 15 minu…",{"id":932,"slug":78,"reading_time_min":919,"pillar_id":933,"draft_id":934},"9a45d404-d037-405f-b9e1-4f649c1d6c72",{"color_token":13},{"title":80,"meta_description":935},"Twój agent kończy zadanie w 1,8 sekundy, trace jest czysty, żadnego błędu w logach. A mimo to wybrał złe narzędzie. Nie wiesz o tym, bo Twój stack observabil…",{"id":937,"slug":938,"reading_time_min":206,"pillar_id":939,"draft_id":940},"0c185ca8-0e4c-46c3-b06a-cb5c2d632be3","milion-zlotych-straty-przez-zmienne-z-llm-gdzie-analiza-przyczynowa-traci-grunt",{"color_token":13},{"title":941,"meta_description":942},"Milion złotych straty przez zmienne z LLM — gdzie analiza przyczynowa traci grunt","Zespół marketingu w warszawskiej spółce z branży e-commerce przez pół roku optymalizował kampanie reklamowe na podstawie tematów wygenerowanych przez LLM. Gd…",{"id":944,"slug":73,"reading_time_min":919,"pillar_id":945,"draft_id":946},"21da4438-3fa2-41e0-a7f6-1768c752628e",{"color_token":13},{"title":75,"meta_description":947},"Twój pilot działa. Model odpowiada poprawnie, demo zachwyca zarząd, zespół developerski bije brawo. Trzy miesiące później projekt leży w szufladzie. Nie dlat…",{"id":949,"slug":59,"reading_time_min":919,"pillar_id":950,"draft_id":951},"5fa11e1e-4f17-4996-9132-df455ed2fcbc",{"color_token":13},{"title":61,"meta_description":952},"Wklejasz URL do pipeline'u, model dostaje 50 000 tokenów — i połowa z nich to stopka, menu, bannery cookie i reklamy. Odpowiedź jest słaba, koszt wysoki, a t…",{"id":954,"slug":103,"reading_time_min":919,"pillar_id":955,"draft_id":956},"9607dd0d-10bf-4236-86cb-f658bad984b8",{"color_token":13},{"title":105,"meta_description":957},"Wyobraź sobie pracownika, który sumiennie zbiera informacje z internetu, ale nie potrafi odróżnić prawdziwej instrukcji od tej podrzuconej przez właściciela …",{"id":959,"slug":960,"reading_time_min":231,"pillar_id":961,"draft_id":962},"b1b01fdd-dab1-42b9-89e6-e8e6cb382bf6","ile-kosztuje-godzina-szkolenia-ai-nowa-metoda-liczy-to-w-8-sekund",{"color_token":13},{"title":963,"meta_description":964},"Ile kosztuje godzina szkolenia AI? 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Dokument zawierał analizę konkurencji, historię transakcji …",[978,986,990],{"id":979,"report_slug":851,"source":980,"content":981,"significance":982,"category":983,"url":48,"title":48,"version":251,"changelog":984,"content_hash":48,"significance_updated_at":48,"status":985},160,"web-research","Ponad 60 000 publicznych repozytoriów GitHub używa pliku AGENTS.md na maj 2026.",0.5,"market-analysis",[],"active",{"id":987,"report_slug":851,"source":980,"content":988,"significance":982,"category":983,"url":48,"title":48,"version":251,"changelog":989,"content_hash":48,"significance_updated_at":48,"status":985},161,"AGENTS.md jest stewardowany przez Agentic AI Foundation, część Linux Foundation, od grudnia 2025.",[],{"id":991,"report_slug":851,"source":980,"content":992,"significance":982,"category":983,"url":48,"title":48,"version":251,"changelog":993,"content_hash":48,"significance_updated_at":48,"status":985},162,"Natywne wsparcie dla AGENTS.md ma 13+ narzędzi kodujących, w tym OpenAI Codex CLI, GitHub Copilot, Google Gemini CLI i Cursor.",[]]