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13 posts tagged with "AI Agents"

Designing, orchestrating, and operating autonomous AI agents that plan, call tools, and act on real-world tasks.

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BMAD Method + Langfuse + Claude Code Agent Teams in Production

· 16 min read
Vadim Nicolai
Vadim Nicolai
Senior Software Engineer

Running AI agents in a real codebase means solving three intertwined problems at once: planning and quality gates (so agents don't drift), observability (so you know what's working), and orchestration (so multiple agents divide work without clobbering each other). In nomadically.work — a remote EU job board with an AI classification and skill-extraction pipeline — these problems are solved by three complementary systems: BMAD v6, Langfuse, and Claude Code Agent Teams. This article explains how each works and how they compose.

Trigger.dev Deep Dive: Background Jobs, Queue Fan-Out, MCP, and Agent Skills

· 13 min read
Vadim Nicolai
Vadim Nicolai
Senior Software Engineer

Trigger.dev is a serverless background job platform that lets you run long-running tasks with no timeouts, automatic retries, queue-based concurrency control, and full observability. Unlike traditional job queues (BullMQ, Celery, Sidekiq), Trigger.dev manages the infrastructure — you write TypeScript tasks and deploy them like functions.

This article covers the platform end-to-end: architecture, task authoring, the queue fan-out pattern, MCP server integration for AI assistants, agent skills/rules, and a production case study of a TTS audio pipeline.