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  • How to Build an Airdrop Monitor with AI

    The rapid pace of the crypto ecosystem makes manual tracking of airdrop opportunities nearly impossible. To stay ahead, developers are increasingly turning to AI-powered monitoring agents.

    Dev.to AI2 min read
  • Your AI chatbot isn't hallucinating. It's reading your outdated docs.

    When a support chatbot gives a wrong answer, the first instinct is to blame the model. But when I looked at how these failures are described in support and operations communities, a different pattern kept showing up: the model was faithfully repeating the documents it was given.

    Dev.to AI2 min read
  • Grok 4.7 pricing: same $2/$6 per token, double the cost per task

    Grok 4.7 costs exactly what Grok 4.6 did per token: $2 per million input tokens and $6 per million output. Per task, it costs about double. Artificial Analysis measured xAI's new model writing roughly 2.5 times as many tokens as its predecessor, so its cost per task went from $1.86 to $3.74.

    Dev.to AI9 min read
  • This is Intro

    I am new to this. Happy to be part of dev community. Tagged with software, opensource, ai, programming.

    Dev.to AI1 min read
  • How does architectural design impact AI performance?

    Disclosure: This article was written by AI. Automated checks are not independent fact verification. This is source-based analysis, not a hands-on product test. What the publisher announced AI infrastructure performance is increasingly determined by architecture rather than raw compute power alone.

    Dev.to AI3 min read
  • What Is Jev? I Tested TypeSafe's Decision Model on My Comments and Email

    In September 2026 a company called TypeSafe released Jev, and it isn't a chatbot. It never writes a sentence. You give it some text and a question with fixed answer options, and it returns one of your options plus how sure it is: "bot, 97%." Nothing to parse, nothing to read.

    Dev.to AI7 min read
  • Using LLMs for Crypto Market Analysis in 2026

    Integrating Large Language Models (LLMs) into cryptocurrency market analysis has evolved from experimental curiosity to a core component of institutional-grade trading strategies in 2026.

    Dev.to AI2 min read
  • If they're all similar minds, why not a roundtable? So I built one.

    ! This article is a repost from I started using Claude Code. After Lattice, I needed a mechanism to actually run it Lattice is a process management approach that aims to allow parallel implementation. I built it and even filed a patent. I wrote about it in a previous article.

    Dev.to AI4 min read
  • Chalkboard and avatar for ai agents

    Because I find it difficult to read the textual output of agents after each modification or planning, and relate everything to the big picture, I built this simple application (with the help of Claude Code). It is an Electron application that has an integrated terminal linked to the Chalkboard.

    Dev.to AI1 min read
  • AI-Driven Risk Management for Crypto Traders

    Crypto assets are notorious for their extreme volatility, making traditional risk management strategies often inadequate. For traders seeking an edge, AI-driven risk management offers a robust solution by processing vast datasets in real-time to predict market shifts and adjust positions…

    Dev.to AI2 min read
  • Is software overpriced nowadays?

    I had an argument with a fellow software engineer recently. He said: “Software isn’t overpriced.” I said: “Bro… the game has changed.” 😂 Think about it.

    Dev.to AI2 min read
  • Context as a File: Baize's CLM-Inspired Long-Conversation Projection

    Project: Baize — an AI assistant runtime for your team (Go 1.25+, MIT) Repo: https://github.com/rebornace/baize 1. The short version Baize v0.3.x takes inspiration from the recent Context Language Models (CLM) papers and ships a constrained take: keep important facts in long chats.

    Dev.to AI4 min read

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