Human-in-the-Loop Design for AI Agents
Fully autonomous agents fail on judgment calls. Human-in-the-loop patterns keep people in charge of the decisions that matter.
25 posts in Software Development

Fully autonomous agents fail on judgment calls. Human-in-the-loop patterns keep people in charge of the decisions that matter.

Parsing free-form LLM text breaks in production. Structured outputs and function calling give you schema-valid JSON every time.

Prompts alone will not keep an LLM in bounds. Production guardrails check inputs and outputs with code, models, and policy.

An operational framework for evaluating LLM outputs with deterministic checks, model judges, human review loops, and regression test suites.

Deploy reliable LLM systems in production. Implement schema validation, multi-model fallback chains, token cost controls, latency caching, and prompt defense.

What happens after you deploy AI? A practical guide to the operational realities of production AI systems, covering token cost monitoring, latency profiling, output quality drift, prompt version management, and incident response.

Practical 2026 guide for developers building autonomous AI agent workflows. Framework comparisons, tool design, guardrails, and production failure modes.

A complete guide to Retrieval-Augmented Generation (RAG) for businesses, covering vector databases, embedding models, chunking strategies, and a full end-to-end implementation that makes AI models know your private data.

Learn how to install MCP servers in VS Code for Claude Desktop, Cursor, Cline, and Devin (formerly Windsurf).

A practical guide to building reliable multi-step AI agent systems, covering single vs.

Learn proven strategies to reduce token usage and cut costs when using Claude Code, Gemini CLI, Codex CLI, and Kimi Code.

Compare low-code platforms for building internal business tools. Detailed analysis of Retool, Appsmith, and Budibase covering features, pricing, and when to build vs buy.

A detailed look into Kimi K2.5, Moonshot AI's powerhouse coding model. API pricing, benchmark performance, agentic capabilities, and the one data privacy...

I share my step-by-step process for fine-tuning open-source large language models like Mistral and Llama 3 for business needs, covering LoRA, dataset preparation, and deployment strategies.

I share my strategies for managing API costs and implementing rate limiting for business applications, including caching techniques, monitoring tools, and lessons from costly mistakes.

I share my experience with AI code review tools for small development teams, comparing GitHub Copilot, CodeRabbit, and Qodana for automated code analysis and security scanning.

I share my practical guide to implementing database sharding for growing SaaS applications, covering PostgreSQL strategies for data distribution, query routing, and migration.

Compare payment gateway options for your business. Detailed analysis of Stripe, Square, and PayPal covering transaction fees, features, international support, and developer experience.

Master Git Flow branching strategies for growing development teams. Learn proven workflows, best practices, and conflict resolution techniques for teams scaling from 5 to 50 developers.

Learn proven strategies for using AI and large language models to refactor legacy code safely.

Comprehensive guide for C++ developers transitioning to Rust. Learn memory safety concepts, ownership principles, and practical migration strategies for modern systems programming.

Improve your productivity with GStart, a powerful GNOME Shell extension that adds a traditional application menu and search functionality to the Linux desktop.

Find vibe coding, a trending approach to programming that blends creativity, intuition, and AI tools.

Discover Gemini CLI, Google's new open-source AI tool for developers. Learn how to set it up, explore its benefits, and integrate it into your workflow with this comprehensive guide.
orcursor.png)
Compare Devin (formerly Windsurf) and Cursor, two leading AI-powered IDEs, to choose the best tool for your coding needs.