TLDR Dev

TLDR DEV 2026-03-25

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01GENERAL

02ARTICLES & TUTORIALS

HOW AGENTIC RAG WORKS

Standard RAG is a one-shot pipeline: query in, retrieve, generate. However, it breaks down the moment a question is ambiguous, the answer is spread across multiple sources, or the retrieved chunk looks relevant but isn't. Agentic RAG fixes this by adding an LLM in the middle that can rewrite the query, route to the right source, evaluate whether what came back is actually good enough, and loop again if not.

blog.bytebytego.com12 min read

NODE.JS WORKER THREADS ARE PROBLEMATIC, BUT THEY WORK GREAT FOR US

Inngest encountered event loop starvation in its Node.js-based Connect service, where CPU-heavy user code blocked critical heartbeats, causing "no available worker" errors. Their solution was to move the Connect service's internals, like WebSocket connections and heartbeats, into a separate Node.js worker thread to isolate them from user code execution.

inngest.com13 min read

03OPINIONS & ADVICE

SO WHERE ARE ALL THE AI APPS?

AI tools have not created any overall increase in new package creation or a substantial general uptick in package updates across the board since the advent of modern AI. However, there has been a significant boost in update frequency.

answer.ai8 min read

CODE AS A TOOL OF PROCESS

Programming is an iterative process that sharpens one's understanding by confronting intricate details and questions as features are built. However, generating code with AI skips this sharpening process, preventing developers from deeply understanding the complexities and trade-offs involved.

blog.jim-nielsen.com3 min read

04LAUNCHES & TOOLS

Sponsored

TURN YOUR AI AGENTS INTO AUTONOMOUS DEVELOPERS

AI agents generate code fast, but without ever seeing actual API responses, database state, or how your services really behave. mirrord (5k GitHub stars [12]) gives agents real-world context as they code, then lets them test against real staging, see real errors, and iterate until it works. The agent delivers working code, not just a first

metalbear.comSponsor

EMAIL.MD

Email.md converts Markdown into email-safe HTML that renders correctly across all major email clients. Writing email HTML is challenging due to a wide variety of rendering engines, like Outlook's Word engine and Gmail's CSS stripping. Email.md solves this by allowing users to write simple Markdown, which it then transforms into HTML.

emailmd.devTool

HYPOTHESIS, ANTITHESIS, SYNTHESIS

Hegel is a new family of property-based testing libraries. It currently supports Rust with plans for Go, C++, OCaml, and TypeScript. It uses the Python Hypothesis engine for its core logic.

antithesis.com16 min read

VIDEO.JS V10 BETA: HELLO, WORLD (AGAIN)

Video.js is an open source media player framework for Web and React. It has been modernized, with reduced bundle sizes by up to 88%. It has also been prepped for AI-augmented development.

videojs.org14 min read

05MISCELLANEOUS

I WANTED TO BUILD VERTICAL SAAS FOR PEST CONTROL. I TOOK A TECHNICIAN JOB INSTEAD

This dev took a technician job to gain firsthand experience in the pest control industry. This role revealed operational inefficiencies, including slow recruitment, outdated systems, and a lack of incentives for internal innovation. He decided against selling SaaS to existing companies, opting instead to launch his own pest control business.

onhand.pro7 min read

THE DEATH OF MODEL.FIT(): WHAT DATA SCIENTISTS ACTUALLY DO IN THE AGE OF AI AGENTS

In agentic AI systems, data scientists don't train models. Rather, they own the evaluation infrastructure that keeps agent behavior measurable and improvable. That means building error taxonomies from production traces, maintaining golden datasets of real user inputs, calibrating LLM-as-judge against human raters, and gating deploys with deterministic schema checks.

engineering.monday.com12 min read