Published: 2026-02-02
Learn how to systematically explore and understand massive legacy codebases using Claude Code as your archaeological toolkit. Stop drowning in code and start mapping the terrain.
Published: 2026-01-26
Discover the Superpowers framework that transforms Claude Code from a helpful assistant into an autonomous senior engineer following TDD, code reviews, and structured development processes.
Published: 2026-01-19
A technical breakdown of how to move from basic prompting to sophisticated agentic loops with Claude Code, including context management, autonomous tool use, and MCP integration.
Published: 2026-01-13
Hallucinations aren't a bug in LLM systems—they're a feature. The solution isn't waiting for the next language model, but changing your workflow. Here's how to use the MCP standard, CLAUDE.md files, and Multi-Agent strategy to transform guessing into solid engineering.
Published: 2026-01-08
Moving from chaotic prompts to modular architecture. A guide to designing LLM tools that minimize hallucinations.
Published: 2025-12-30
Discover why traditional vector search hits a wall with complex queries and how GraphRAG transforms retrieval systems by understanding relationships, not just similarity.
Published: 2025-12-25
Ever wondered what ChatGPT actually 'sees' when you type a sentence? Dive deep into the crucial moment when words stop being words and become a mathematical map of meaning.
Published: 2025-12-15
A deep dive into one of the most important optimizations in the LLM world: KV Caching. Learn how it works, why it matters, and what trade-offs it involves.
Published: 2025-12-08
Learn how to overcome analysis paralysis in AI adoption, start with small steps, and avoid the 5 most common mistakes that turn AI projects into budget black holes instead of successful implementations.
Published: 2025-12-04
Building a ChatGPT prototype takes one evening. Deploying it to thousands of users? That's where the real engineering begins. Learn how to transition from 'works on my machine' to stable production using modern LLM tooling.
Published: 2025-11-24
Building LLM products involves a critical architectural choice: RAG or Fine-tuning? Learn the heuristics to save your budget and time-to-market.
Published: 2025-11-17
Comparison of JSON and TOON formats in the context of large language models and token efficiency.
Published: 2025-11-10
Learn how to run the open-source Polish LLM Bielik-7B locally on Apple Silicon using Python and Hugging Face Transformers.
Published: 2025-10-27
Building an AI agent is exciting. Monitoring it in production without the right approach is terrifying. Here's what I learned after 7 days of debugging.
Published: 2025-10-13
Language models can write fluently and convincingly, but they don't always tell the truth. Learn why LLMs hallucinate and how to prevent it using RAG, fact-checking, and prompt engineering techniques.
Published: 2025-09-29
Large language models offer tremendous capabilities but come with significant infrastructure and computational costs. Learn practical techniques to optimize expenses while maintaining response quality - from fine-tuned smaller models to hybrid architectures.
Published: 2025-09-23
A practical guide to protecting sensitive data when deploying AI models in production, covering everything from anonymization to regulatory compliance.
Published: 2025-09-08
Large Language Models evolve rapidly with new versions every few months. Learn how to build stable processes that adapt to constant model evolution while maintaining product reliability.
Published: 2025-08-10
Discover how LangChain and LangGraph work together to build sophisticated AI applications beyond simple LLM prompts, enabling complex workflows with retrieval, agents, and dynamic decision-making.
Published: 2025-07-15
Learn how to implement the Circuit Breaker pattern with retry and backoff strategies for Large Language Model APIs like Anthropic's Claude to handle rate limits and build resilient applications.
Published: 2025-06-17
Learn how to build a custom MCP server by creating an integration with AnkiConnect API. This comprehensive guide covers everything from setup to implementation.
Published: 2025-06-10
Building effective AI agents is more than just connecting an LLM to a few tools. Learn the art of balancing simplicity with functionality while maintaining reliability, security, and efficiency.
Published: 2025-05-14
An analysis of the system prompt of a model like Anthropic's Claude provides valuable insights into crafting effective instructions for language models.
Published: 2025-04-21
A short introduction to Retrieval Augmented Generation (RAG) and why AWS Bedrock is an interesting tool in this context.
Published: 2025-04-04
Discover how Anthropic's Model Context Protocol (MCP) standardizes communication and context sharing between AI models, revolutionizing AI integration.
Published: 2025-03-17
An overview of Retrieval Augmented Generation (RAG) and vector search in Natural Language Processing, discussing when to use each approach.
Published: 2025-03-11
An overview of LlamaIndex, a comprehensive tool for building Language Model (LLM) powered agents, focusing on its core components, toolsand agents.
Published: 2025-02-26
Learn how automation and AI can save time, reduce errorsand improve decision-making in your business.
Published: 2025-02-18
How large language models are transforming IT operations, documentationand system analysis
Published: 2025-02-11
An exploration of how jailbreaking techniques for language models work and their potential benefits for AI safety research.
Published: 2025-02-04
Exploring the phenomenon of AI hallucinations and effective strategies to minimize their occurrence in LLM applications.
Published: 2025-01-29
Learn what AI hallucinations are, why they occurand how to handle them effectively in your AI interactions.
Published: 2025-01-22
Learn why token counting is crucial when working with LLMs and how to implement it in your applications
Published: 2025-01-14
Key principles for creating efficient and reliable AI agents
Published: 2025-01-08
Learn how to build powerful AI agents with Hugging Face's SmolAgents library and understand the differences between code-based and JSON-based agents.
Published: 2025-01-03
Learn effective strategies to protect sensitive information in applications using large language models (LLMs)
Published: 2024-12-23
An overview of prompt injection, why it tops the OWASP threat list for language modelsand how to protect against it.
Published: 2024-12-22
An exploration of vector databases, embeddingsand their applications in AI and machine learning
Published: 2024-12-21
Learn how to implement memory in stateless LLM applications using Thread Summarization technique
Published: 2024-12-18
Learn when to use fine-tuning, how to prepare your dataand how to train a custom OpenAI model to improve performance and reduce prompt length.
Published: 2024-11-28
Learn the key principles of prompt engineering and why mastering it is essential when working with large language models like GPT-4.
Published: 2024-11-20
A beginner-friendly explanation of Large Language Models (LLMs), how they workand how they are used.
