Category
AI Agents
Autonomous agents, LLM applications, and intelligent systems
// 12 articles filed
// FIG. CAT-AI-A
PristrenPristrenAutonomous agents, LLM applications, and intelligent systems
// 12 articles filed
Built by Pristren
Reading about AI tools? Run your team on Zlyqor — chat, meetings, projects, and time tracking in one workspace.
OpenAI Codex now encrypts sub-agent prompts by default. This change affects how agentic systems share context between sub-agents. Here's what it means for your AI pipelines.
Mahmudul Haque Qudrati
CEO & ML Engineer
A practical guide to building reliable agentic AI systems covering structured outputs, observability, fallbacks, and cost controls with real code examples.
Mahmudul Haque Qudrati
CEO & ML Engineer
Harness engineering is the practice of building structured, safe environments for AI agents to execute code. This post explains how to leverage OpenAI Codex in an agent-first world, with concrete examples, cost breakdowns, and honest tradeoffs.
Mahmudul Haque Qudrati
CEO & ML Engineer
UC Berkeley CS professors report a sharp increase in failing grades alongside higher AI usage and declining math skills. This post breaks down the data, the likely causes, and what it means for hiring and education.
Mahmudul Haque Qudrati
CEO & ML Engineer
An AI agent skill for test-driven development automates the red-green-refactor cycle. Here's how it works, what it costs, and when to use it.
Mahmudul Haque Qudrati
CEO & ML Engineer
Mahmudul Haque Qudrati
CEO & ML Engineer
AI tools multiply existing technical skills by automating boilerplate, accelerating debugging, and enabling faster iteration. This post breaks down the mechanics, costs, and best practices.
Mahmudul Haque Qudrati
CEO & ML Engineer
Skills teach the agent your workflow; MCP connects live systems. Here is when to use each — and the hybrid pattern HN devs settled on in 2026.
Mahmudul Haque Qudrati
CEO & ML Engineer
How to orchestrate multiple specialized AI agents to solve complex, multi-step business problems. Explore communication protocols and handovers.
Mahmudul Haque Qudrati
CEO & ML Engineer
LangChain is a powerful LLM framework, but its complexity is frequently criticized. Here is when it genuinely helps and when you should skip it entirely.
Mahmudul Haque Qudrati
CEO & ML Engineer
Three tools claim to be AI software engineers. Here is an honest comparison of what each actually does well, what the benchmark numbers mean, and when to reach for each one.
Mahmudul Haque Qudrati
CEO & ML Engineer
AutoGen lets you build systems where multiple AI agents collaborate, execute code, and involve humans in the loop. Here is how it works, when to use it, and the real tradeoffs you'll face in production.
Mahmudul Haque Qudrati
CEO & ML Engineer
Deep dives into ML algorithms, models, and applications
AI trends, techniques, and real-world implementations
How LLMs work, honest comparisons, and production usage
Every technique that works — with real examples
Claude Code, Cursor, Copilot, open-source tools reviewed honestly
Local LLMs, open models, free AI infrastructure
Fewer tokens, cheaper APIs, local alternatives with real numbers
Benchmarks explained, evaluation frameworks, model testing
LLM SEO, AI SEO, Google AI Overviews, developer marketing
iOS, Android, and cross-platform mobile app development
Modern web technologies, frameworks, and best practices
Data analysis, visualization, and engineering insights