Tutorials

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Dev.to tutorial Jul 13

Benchmark an AI Agent Migration Without Believing One Speedup Number

A paired workload protocol for validating latency, cost, correctness, and recovery before changing production models.

Agents Benchmark

Dev.to tutorial Jul 13

Audit an AI Coding CLI Before It Uploads Your Home Directory

A practical outbound-data threat model and test procedure for coding agents with filesystem and network access.

Dev.to tutorial Jul 13

PromptLedger v0.7 — Turning prompt evaluation into local regression gates

Devlog — Part 6 PromptLedger v0.7 is out. The previous release made prompt history easier...

Dev.to tutorial Jul 13

MCP for TypeScript Developers: What It Actually Solves Beyond the Hype

MCP is one of the most talked-about ideas in AI right now. If you read enough posts, it starts to...

MCP

Dev.to tutorial Jul 13

n8n MCP Means Three Things. Here's Each One (2026)

n8n MCP means three different setups people keep mixing up. Server, client, and the community builder, explained with when to use each.

MCP

Dev.to tutorial Jul 13

What I learned trying to revoke an AI agent mid-task

An agent is running, making tool calls, and something's wrong — bad prompt, gone off the rails. You...

Agents

Dev.to tutorial Jul 13

We measured trust on ERC-8004 — and the naive average crowns the wrong agent

Real Base mainnet data, a 2002 paper that saw this coming, and why our SDK refuses to ship a default score.

Dev.to tutorial Jul 13

How to Build a Project Management App Like Trello in 2026

The modern build guide for a Trello-style Kanban app — React Native, Expo, real-time sync, and the AI shortcut that changes the math in 2026.

Dev.to tutorial Jul 13

I built an open-source MCP server so AI agents can read the web - even sites that block bots

If you've tried to give an LLM agent web access, you've hit this wall: point it at the real web and a...

Open Source MCP

Dev.to tutorial Jul 13

Porting Gemma-4 (2B / 4B / 12B) to AWS Inferentia2

A field report on running Google's Gemma-4 on AWS Inferentia2: mixed attention heads, the vLLM / optimum-neuron / NxD dead-ends, and the neuronx-cc compiler limits.

Google

Dev.to tutorial Jul 13

Your RAG Eval Is Checking the Receipt, Not the Patient

Clinical RAG can pass grounding checks while citing evidence about the wrong entity.

RAG Benchmark

Dev.to tutorial Jul 13

Why I route each phase of my coding agent to a different model

Most agentic coding setups run one model for the whole job: it decomposes the task, writes the code,...

Dev.to tutorial Jul 13

How I Turned Hermes Agent Into a Beast: 6 Stages to Better Autonomy

How I unlocked the multiplier stage with Hermes Agent — standing goals, skill capture, memory audits, and the compounding effect that makes every session better than the last.

Dev.to tutorial Jul 13

I Ran 6 MCP Servers Behind One Agent. Here's What the Token Bill Actually Looked Like.

Six MCP servers, one agent, 41k tool calls. The token bill math, the transport tradeoffs, the OAuth traps, and the four changes that cut per-session cost 53%.

MCP

Dev.to tutorial Jul 13

Origin Part 19: The Number Was Wrong

The brain layer was scoring high because the test was leaking. The actual capability was being...

Dev.to tutorial Jul 13

Building an Offline AI Note-Taking App with WebGPU

For the last few months, I’ve been obsessed with a specific problem: the friction between privacy and...

Dev.to tutorial Jul 13

The bug was in my beliefs, not my code

An ARC Prize 2026 builder's log entry. I spent two work sessions reasoning from two 'facts' about my own code that were both false. Checking them against the artifact took an hour....

Dev.to tutorial Jul 13

Five ways your LLM cost tracking is lying to you

Streaming usage, cache token semantics, serverless flushes, cancelled streams, stale price tables — the five metering bugs I hit building LLM cost tracking, with fixes for each.

LLM