- Популярные видео
- Авто
- Видео-блоги
- ДТП, аварии
- Для маленьких
- Еда, напитки
- Животные
- Закон и право
- Знаменитости
- Игры
- Искусство
- Комедии
- Красота, мода
- Кулинария, рецепты
- Люди
- Мото
- Музыка
- Мультфильмы
- Наука, технологии
- Новости
- Образование
- Политика
- Праздники
- Приколы
- Природа
- Происшествия
- Путешествия
- Развлечения
- Ржач
- Семья
- Сериалы
- Спорт
- Стиль жизни
- ТВ передачи
- Танцы
- Технологии
- Товары
- Ужасы
- Фильмы
- Шоу-бизнес
- Юмор
The Death of the Mega Prompt - Agent Skills Explained
Your mega prompt is bleeding tokens, hallucinating mid-context, and quietly bankrupting your API budget — and there's a shockingly simple fix that's just a folder. 📂⚡
In this episode, we break down why the era of stuffing everything into one giant system prompt is officially over — and what the smartest AI engineers are replacing it with.
Here's what we cover:
🔥 Why mega prompts fail — the "lost in the middle" U-shaped attention problem that makes LLMs ignore your most important instructions
💰 The hidden token tax — how one developer's 58-tool setup burned 134K tokens PER TURN (yes, really)
🧩 Agent Skills architecture — the elegant "it's just a folder" solution using progressive disclosure across three levels: metadata → instructions → resources
🔌 Portability across frameworks — how the same skill folder works in VS Code, GitHub Copilot, OpenAI Codex, LangChain, and more
🛡️ Security realities — 26.1% of agent skills in the wild contained vulnerabilities, and what to do about it (sandboxing, least privilege, deterministic validation)
🔮 Future-proofing your AI — why separating "the know-how from the knower" means you can swap models without rebuilding everything
Whether you're a prompt engineer, AI developer, or just trying to build agents that actually work at scale — this episode gives you the architectural blueprint.
💬 Drop a comment: Are you still using mega prompts, or have you made the switch?
👉 SUBSCRIBE for weekly deep dives into practical AI architecture, agent design, and the tools that actually matter.
🔔 Hit the bell so you never miss an episode!
📚 Resources and links mentioned in this episode are pinned in the comments.
#AgentSkills #MegaPrompt #AIEngineering #PromptEngineering #LLM #AIAgents #AIArchitecture #TheBeardedAIGuy
📑 Chapters:
0:00 The Roman Empire vs. Your Context Window
0:33 Welcome to The Bearded AI Guy
1:05 The Mega Prompt Must Die
1:26 Why Giant Prompts Are Terrible
2:04 Lost in the Middle (U-Shaped Doom)
2:50 58 Tools & 134K Tokens of Pain
3:25 Enter Agent Skills (It's Just a Folder)
4:57 Three Levels of Progressive Disclosure
7:09 Portable Skills Across Every Framework
8:11 How to Actually Build This
10:03 Security: 26% of Skills Are Vulnerable
13:24 From Prompt Engineering to Knowledge Packaging
14:47 AI Grows Up & Will It Scale?
#agent skills #mega prompt #prompt engineering #AI agents #LLM architecture #progressive disclosure #token optimization #AI development #system prompt #lost in the middle #U-shaped attention #AI security #sandboxing #LangChain #OpenAI Codex #GitHub Copilot #VS Code agents #Anthropic #AI engineering #the bearded ai guy #AI podcast #knowledge packaging #vendor lock-in #portable AI skills #Pydantic AI #open telemetry #AI governance #future-proofing AI
Видео The Death of the Mega Prompt - Agent Skills Explained канала The Bearded AI Guy
In this episode, we break down why the era of stuffing everything into one giant system prompt is officially over — and what the smartest AI engineers are replacing it with.
Here's what we cover:
🔥 Why mega prompts fail — the "lost in the middle" U-shaped attention problem that makes LLMs ignore your most important instructions
💰 The hidden token tax — how one developer's 58-tool setup burned 134K tokens PER TURN (yes, really)
🧩 Agent Skills architecture — the elegant "it's just a folder" solution using progressive disclosure across three levels: metadata → instructions → resources
🔌 Portability across frameworks — how the same skill folder works in VS Code, GitHub Copilot, OpenAI Codex, LangChain, and more
🛡️ Security realities — 26.1% of agent skills in the wild contained vulnerabilities, and what to do about it (sandboxing, least privilege, deterministic validation)
🔮 Future-proofing your AI — why separating "the know-how from the knower" means you can swap models without rebuilding everything
Whether you're a prompt engineer, AI developer, or just trying to build agents that actually work at scale — this episode gives you the architectural blueprint.
💬 Drop a comment: Are you still using mega prompts, or have you made the switch?
👉 SUBSCRIBE for weekly deep dives into practical AI architecture, agent design, and the tools that actually matter.
🔔 Hit the bell so you never miss an episode!
📚 Resources and links mentioned in this episode are pinned in the comments.
#AgentSkills #MegaPrompt #AIEngineering #PromptEngineering #LLM #AIAgents #AIArchitecture #TheBeardedAIGuy
📑 Chapters:
0:00 The Roman Empire vs. Your Context Window
0:33 Welcome to The Bearded AI Guy
1:05 The Mega Prompt Must Die
1:26 Why Giant Prompts Are Terrible
2:04 Lost in the Middle (U-Shaped Doom)
2:50 58 Tools & 134K Tokens of Pain
3:25 Enter Agent Skills (It's Just a Folder)
4:57 Three Levels of Progressive Disclosure
7:09 Portable Skills Across Every Framework
8:11 How to Actually Build This
10:03 Security: 26% of Skills Are Vulnerable
13:24 From Prompt Engineering to Knowledge Packaging
14:47 AI Grows Up & Will It Scale?
#agent skills #mega prompt #prompt engineering #AI agents #LLM architecture #progressive disclosure #token optimization #AI development #system prompt #lost in the middle #U-shaped attention #AI security #sandboxing #LangChain #OpenAI Codex #GitHub Copilot #VS Code agents #Anthropic #AI engineering #the bearded ai guy #AI podcast #knowledge packaging #vendor lock-in #portable AI skills #Pydantic AI #open telemetry #AI governance #future-proofing AI
Видео The Death of the Mega Prompt - Agent Skills Explained канала The Bearded AI Guy
Комментарии отсутствуют
Информация о видео
27 февраля 2026 г. 14:22:00
00:15:29
Другие видео канала




















