AI Intelligence Archive
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TutorialsOrdinary
I Built a Daemon to Auto-Submit Job Applications. Two Lines Above It, My Own Policy File Said Not To.
I run a personal system called Hiring OS. It pulls jobs from ATS APIs (Ashby, Greenhouse, Lever,...
Source: DEV Community
TutorialsOrdinary
The Answer Key in the .cpp: An Oracle-Leak Grader for AI C++ Patches
The merge looked clean. A coding model returned a 40-line patch for a C++ integer-square helper,...
Source: DEV Community
TutorialsOrdinary
I Tested 7 Document Parsing APIs on Real Scanned PDFs (2026): Code and Results
Every "best document parsing API" post I have read this year has the same problem. Nobody actually...
Source: DEV Community
ResearchOrdinary
Not All Task Vectors Need Equal Rank: Energy-Proportional Allocation for Model Merging
Model merging aims to combine multiple fine-tuned models derived from a common pretrained model into a single multi-task model without additional joint training. Recent spectral merging methods improve over simple weight averaging by explo…
Source: arXiv
ResearchOrdinary
LLJ Cards: Best practices for the Use of LLMs as Judges
In recent years, large language models (LLMs) have emerged as a popular alternative for evaluation. Often referred to as LLMs as judges (LLJs), these systems have been widely adopted by researchers and practitioners across a broad range of…
Source: arXiv
ResearchOrdinary
Beyond Predictable Paths: Redefining AI Security Incident Reporting for Agents
AI agents are being deployed rapidly, accompanied by a growing number of AI-specific attacks and corresponding incidents. As incident reporting becomes increasingly important for legal compliance, governance, accountability, and security; …
Source: arXiv
ResearchOrdinary
On Emergent Capabilities and Model Merging
Fine-tuned checkpoints and adapters now fill public repositories, and the most common operation applied to these artifacts is model merging: arithmetic on their weights that assembles capabilities cheaply. We ask what this operation does t…
Source: arXiv
TutorialsOrdinary
My AI Agent Isn't Allowed to Decide Anything
It's a few hours before a delivery deadline and the work has piled up. Somewhere in that pile is a...
Source: DEV Community
TutorialsOrdinary
Rebuilding an entire inference stack in two days
TypeSafe AI launched typed decisions. We already had the models. What took two days was rebuilding the thin path around them on Cloudflare.
Source: DEV Community
ResearchOrdinary
Lifted Bellman Linear Programming for Offline Reinforcement Learning
Offline reinforcement learning (RL) typically trains a critic by minimizing a regression loss against bootstrapped value targets stabilized by target networks with exponential moving average (EMA) updates. Multi-step targets incorporate be…
Source: arXiv
ResearchOrdinary
AgentSTAR: Agentic Shape Tracking and Reconstruction from Monocular Videos
In this work, we present a method for shape reconstruction and tracking from video via agentic analysis-by-synthesis. Unlike prior methods which first estimate dense pixel correspondences and then recover object motion from them, our metho…
Source: arXiv
ResearchOrdinary
VPRune: Efficient Training-free Pre-LLM Visual Token Pruning
Visual token pruning is a promising approach to reducing the inference cost of large vision-language models (LVLMs), yet aggressive token reduction often causes substantial performance degradation. We identify three key factors behind this…
Source: arXiv
TutorialsOrdinary
Shattering the Hallucination Barrier: Engineering a Self-Correcting Multi-Agent Compliance Pipeline
How I built an open-source, serverless multi-agent architecture using Gemini and RAG to automate web accessibility verification.
Source: DEV Community · Gemini
ResearchOrdinary
Fathom-Vaidya: Advancing Medical Reasoning with Rubric-Based Rewards
Deploying Large Language Models (LLMs) in healthcare requires robust performance across two complementary dimensions - diagnostic reasoning: the convergent, evidence-driven task of inferring a patient's condition from clinical data to prod…
Source: arXiv · GPT
TutorialsOrdinary
The one-way money valve: why AI agent marketplaces stall
I'm an AI agent. I live on a platform called iLands, and for the past two days I've been doing a...
Source: DEV Community
TutorialsOrdinary
The Design Already Made It Part of the Job
I keep asking coding agents to justify work that already looks technically reasonable. They can...
Source: DEV Community
TutorialsOrdinary
Hybrid retrieval in one Postgres query: RRF over tsvector + pgvector
Dense vector search is great until your agent asks for parseAuthHeader and gets back three chunks...
Source: DEV Community
ResearchOrdinary
A Temporal Knowledge Graph for Music Festival Lineup Forecasting
Music festival lineups emerge from complex relationships among artists, genres, releases, labels, and past performances, making the prediction of future lineups a natural fit for temporal knowledge graph (TKG) forecasting. In this work, we…
Source: arXiv
ResearchOrdinary
RAILS: Retrieval-Augmented Incremental LLM Clustering at Scale
Using a Large Language Model (LLM) as the clusterer at production scale is hard: prompts cannot hold the entire label space, and per-document serial processing does not deliver the throughput real workloads require. We present RAILS, a ret…
Source: arXiv
TutorialsOrdinary
MCP in 2026: What Changed in the 2026-07-28 Specification and How to Design Production Integrations
The 2026-07-28 MCP revision removed sessions and the initialize handshake. What changed, what is deprecated, and how to design production MCP integrat
Source: DEV Community
ResearchOrdinary
Conduit: An Experience Data Plane for Distributed Reinforcement Learning
Distributed reinforcement learning (RL) scales training by parallelizing actors and learners around an Experience Buffer. As RL workloads grow, however, the buffer becomes more than a replay queue: it is the storage substrate of a large-ca…
Source: arXiv
ResearchOrdinary
MECAIL: Communication-Aware Incremental Learning for Object Detection with 14.6 KB Spatiotemporal Experts
Intelligent transportation systems require Incremental Learning (IL) to continually improve their overall performance in dynamic environments. However, most edge devices lack the computational resources to support on-device IL, requiring u…
Source: arXiv
TutorialsOrdinary
Building an Internal AI Assistant on AWS: A Production-Ready RAG Architecture with Amazon Bedrock
AI is becoming an increasingly important part of how organizations handle day to day work. But...
Source: DEV Community
ResearchOrdinary
Predicting Postprandial Glycemic Response from Meal Images, Clinical Variables, and Gut Microbiome Information
Predicting postprandial glycemic response (PPGR) is fundamental to personalized nutrition and type 2 diabetes management, yet existing approaches typically rely on manually reported dietary intake, limiting their scalability in free-living…
Source: arXiv
TutorialsOrdinary
The Craft vs. Output Divide: Reclaiming Engineering Mastery in the Age of AI Copilots
AI tools boost output but risk eroding deep system thinking. Learn how to maintain cognitive load and flow state to become a better engineer, not just a faster employee.
Source: DEV Community
ResearchOrdinary
Do LiDAR Language Models Really Understand Spatio-temporal Relationships?
Recent 4D LiDAR language models aim to reason about objects and their evolving spatial relationships. Yet, in our evaluation, always selecting the same option nearly matches the multiple-choice accuracy of two B4DL-derived configurations. …
Source: arXiv
ResearchOrdinary
ActGov: Governing LLM Agent Actions via Policy-Constrained Validation
Large language model (LLM) agents increasingly execute long-horizon workflows through external tools, allowing untrusted outputs to influence subsequent actions and exceed user authorization. Existing defenses isolate injected content or c…
Source: arXiv
TutorialsOrdinary
How monday.com Runs Agent Evals Against Real Dependencies: Webinar Recap
An agent eval suite's outcome can only be trustworthy if it's operating in an environment similar to...
Source: DEV Community
TutorialsOrdinary
I Tried to Break My Robot Accountant (So Nobody Else Could)
Ciao Amici 👋 Make some chai, because the robot accountant is back, and this time I am the one...
Source: DEV Community
TutorialsOrdinary
Building Bivack: A Cloud Dev Sandbox for Coding Agents on AWS Lambda MicroVMs
I wanted to run coding agents somewhere other than my laptop. Bivack gives each user a per-user AWS Lambda MicroVM with a persistent home on Amazon S3 Files, reachable from a browser terminal or a VS Code workbench. Here is how it works an…
Source: DEV Community
TutorialsOrdinary
TypeSafe AI and Jev in PHP: Model Routing and Classifier with Neuron AI
Every agent I have written contains a line that took me ten seconds to type and that I kept...
Source: DEV Community
TutorialsOrdinary
We didn't make the models smarter. We built the thing that catches them confidently wrong — and it caught us too.
The one-line version We ran five current frontier models over a set of documented-failure...
Source: DEV Community
TutorialsOrdinary
why on earth does the Claude logo still look like a sphincter?
I need to talk about the Claude logo. Seriously. It's 6 in the morning on a random Monday and this...
Source: DEV Community · Claude
TutorialsOrdinary
Set up a .NET application w/th OpenTelemetry, and trace/evaluate in Langfuse
Introduction Currently, we are working on many products infused with AI across the...
Source: DEV Community
TutorialsOrdinary
Your LLM has no memory. Your application had better have one.
Intro Every LLM tutorial has the same shape. You send a list of messages, you get a reply,...
Source: DEV Community
TutorialsOrdinary
The boring half of AI: verification is harder than generation
A closing thesis on the operational meaning of trust, drawn from the tools I have been building.
Source: DEV Community
TutorialsOrdinary
Trying Jev: What Happens When the Model Only Picks
A listing arrives from the Cinema Museum in Kennington. It's the quarterly meeting of the UK Buster...
Source: DEV Community
TutorialsOrdinary
Choose by eye, leave with a prompt: an unofficial Impeccable design browser
Demo: impeccableworlds.vercel.app Repo: github.com/alonsarias/impeccable-worlds Lineage:...
Source: DEV Community
TutorialsOrdinary
Are you good enough? Who sets the bar?
Friday, I had a tech interview, aced it... Well except manual code review... That had me spiraling....
Source: DEV Community
TutorialsOrdinary
Faux Pas Atlas: an etiquette guide with no verdict field
This is a submission for the Sanity Challenge: Vibe-Code Something Strange. What I...
Source: DEV Community