AI Intelligence Archive
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The Developers Most Ready to Delegate to AI Are Also the Most Afraid of AI Replacing Developers
JetBrains' 2026 data shows developers delegating more work to AI each year, and heavy AI agent users are the most convinced AI replacing developers is coming.
Source: DEV Community
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SlothSpend: a lazy, local-first subscription audit desktop app with Gemma and TabPFN
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...
Source: DEV Community
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The Hidden Bugs Behind Duplicate API Requests
One click on "Place order." Two rows in the orders table, created 40 milliseconds apart, identical...
Source: DEV Community
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"I'm 93% confident" is a string, not a probability
The gap between the demo and the pipeline In the demo, you ask the model to return a...
Source: DEV Community
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My laptop has no GPU, so I gave it the night shift
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady 🦥 What I...
Source: DEV Community
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Intent-Sized vs Resource-Sized, Measured
Every MCP design discussion eventually reaches the granularity debate. Should a server expose...
Source: DEV Community
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Your retry loop is your most expensive feature
A team I worked with tracked cost per task down to the token. They capped context. They set a budget...
Source: DEV Community
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7 Silent Failures in n8n AI Workflows (and the Error Trigger Setup That Catches Them)
I forced 7 LLM failure modes through a real n8n invoice workflow. Six came back as HTTP 200 and green executions. Here's the Validate node and Error Trigger setup that makes them fail loudly.
Source: DEV Community
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Building Reliable AI Agents: Why LLMs Can't Verify Their Own Output (And What to Do Instead)
If you are building an AI agent that connects to a database, queries a knowledge base, or cites...
Source: DEV Community
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Claude Code Token Usage Introspection in 2026: Reading the `usage` Field and Building Your Own Cost Dashboard
Anthropic's usage field returns structured token counts, but no first-party dashboard aggregates them into actionable cost metrics. Build a TypeScript parser, set per-user caps, and instrument the gaps in the official API.
Source: DEV Community · Claude
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My AI Support Agent Crushed the Demo. Then Production Happened.
Everyone shows the AI agent working. Nobody shows the week it fell apart. I built a support agent...
Source: DEV Community
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I tested Trail-code on my Claude Code agents. They ignored the map.
Trail-code promises cheaper, faster coding agents by giving them a map of your code. I replayed 10...
Source: DEV Community · Claude
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Zero CVEs. but found 1,249 risky paths!
What a vulnerability database can't tell you Every dependency scanner works the same way:...
Source: DEV Community
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My 1B model renamed one file to another file's name — the fix was a provenance guard
My Downloads folder had 599 loose files in it — 101 PDFs, 79 spreadsheets, 129 images, and a folder...
Source: DEV Community
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SlothDesk — Local-First AI Downloads Organizer: Less sorting. More living.
A local-first AI-powered Downloads organizer with two-phase execution, smolagents, LM Studio inference, and zero overwrites.
Source: DEV Community
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SlothSort: The Zero-Effort Clutter Tidier for International Sloth Day
This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 3 🦥 What I Built:...
Source: DEV Community
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Cẩm Nang Anti-Slop: Thiết Lập Hệ Thống Kỷ Luật Cho Cursor, Claude Code & Antigravity
Nếu bạn đang dùng Cursor, Claude Code, Google Antigravity hay ChatGPT để làm sản phẩm một mình, chắc...
Source: DEV Community · ChatGPT / Claude / Cursor
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Two-stage retrieval and reranking
Two‑Stage Retrieval & Reranking: A Technical Guide Recall first, precision second....
Source: DEV Community
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Don't Be a Proxy Between Me and Your AI
I've had this conversation more times than I'd like to admit. I raise a technical question in a...
Source: DEV Community
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lazycommit: a tiny local model writes my commit messages so I don't have to
Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥 This is a submission for...
Source: DEV Community
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You Speak to AI, and It Speaks Back. What Happens in Between?
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
Source: DEV Community
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Your agent forgot a decision you made last week. Mine did too.
Your agent forgot a decision you made last week. Mine did too. Last month my team reversed...
Source: DEV Community
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Mail Sloth: Photograph Your Paper Mail, Get Verdicts and Calendar Reminders, Fully Offline
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...
Source: DEV Community
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Visualizing Coding Agents Across Providers
Four agents were working for me on a Tuesday night. One was rewriting a database layer, one was...
Source: DEV Community
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How I use AI coding tools without letting them think for me
I use AI tools a lot. I'm not going to pretend otherwise. My Whiteboard.ai project, for example, was...
Source: DEV Community
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Enterprise Software in 2026: From First Conversation to Production Ownership
A research-backed, end-to-end enterprise delivery playbook: negotiation, specifications, SLAs, AI agents, quality gates, metrics, and accountable ownership.
Source: DEV Community
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You QA'd 12 AI conversations last month. Your AI had 3,400 conversations. Here's the sampling plan that actually finds problems.
The owner of a home-services franchise did the diligent thing: every Friday, she pulled two random AI...
Source: DEV Community
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[Spanish] Entrenando un kantoku artificial — Capítulo 1: por qué no usé una red neuronal
Primero, ¿qué es el gateball? El gateball es un deporte de equipo que nació en Japón en...
Source: DEV Community
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How a 270M-parameter model on your phone turns a dictated note into contacts
Circles is a birthday reminder built around people’s circles: a friend, their partner, their kids,...
Source: DEV Community
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Gemini 4 Argon vs GPT-6 Astra vs Claude Opus 5.5: What Google’s New Model Actually Wins
Every frontier launch now arrives with a table where the new model wins. Gemini 4 Argon is more...
Source: DEV Community · GPT / Claude / Gemini
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Doze: teach it once. Let the AI sleep.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. ...
Source: DEV Community
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A Map, Not a Megadump: Sentinel-IR-MCP 0.2.0 Adds TypeScript, 0.2.1 Makes Missing Analysis Visible
When an AI agent opens a codebase, should it read every file first, or should it get a compact map...
Source: DEV Community
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How to Prevent AI Agents from Accidentally Injecting GPL Violations into Commercial Codebases: A LicenseGuard MCP Server
How to Prevent AI Agents from Accidentally Injecting GPL Violations into Commercial...
Source: DEV Community
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SlothTidy: A Zero-Friction, 100% Local AI File Daemon That Organizes Your Downloads While You Rest 🦥
Stop dragging PDFs and screenshots out of ~/Downloads. SlothTidy uses small open-weight models via Ollama and llama.cpp to automatically classify, rename, and organize your files 100% offline.
Source: DEV Community · Llama / Ollama
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My Video Editor Now Writes Audio Description for Your Videos
A while ago I wrote about Ultra Video Editor, the free, open-source video editor I've been building....
Source: DEV Community
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Ithaka Gave You the Journey: AI-Assisted Development
A three-year reflection on AI-assisted development, from early ChatGPT experiments to the specification-driven discipline behind DevSpark.
Source: DEV Community · ChatGPT
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Gemma 4 checks my Pix receipts while I sleep: 12 of 12 verdicts right, even when it misreads
This is a submission for the Hacktoberfest 2026 Open-Source AI Challenge, Week 3: Slow and Steady. ...
Source: DEV Community
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I'm 16 and spent a year training my own 780B language model. Here's what I learned
Hi, I'm Afonso. I'm 16, and for about the past year I've been building Ganymede, my own large...
Source: DEV Community
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There Are Two Dockerfiles. Your Agent Should Touch Neither.
Flisk's local image is not the image you ship. A coding agent that "fixes" either file is editing the wrong source of truth.
Source: DEV Community
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I tuned an OCR pipeline for weeks. A vision model beat it in nine seconds.
I spent weeks tuning a local OCR pipeline. Downscaling, adaptive thresholding, per-word confidence...
Source: DEV Community