AI Intelligence Archive
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ResearchOrdinary
CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
As sequence lengths continue to grow, distributed attention based on sequence parallel (e.g., Ring-Attention) has become a mainstream solution for large language models (LLMs). Nevertheless, inherent communication dependencies limit comput…
Source: arXiv
ResearchOrdinary
EchoKV: Self-Corrective KV Cache Eviction via Iterative Query Feedback
KV cache eviction is not merely a token-ranking problem: the workspace retained for generating eviction queries also determines the quality of those queries. Consequently, an early workspace error can distort later query observations and r…
Source: arXiv · Qwen / Mistral
ResearchOrdinary
Retrieval Supersedes Scale: Efficient Log Level Prediction via Multiplex Socio-Technical Context
Developers insert logging statements in source code to record its execution, and the resulting logs are essential for detecting and troubleshooting system anomalies. A key part of these statements is the log level (e.g., DEBUG, INFO, WARN,…
Source: arXiv
TutorialsOrdinary
PageSift 1.0: the Rust web content engine is feature-complete
Fifteen days, twenty-five releases. PageSift went public as 0.20 on October 20; today it ships...
Source: DEV Community
TutorialsOrdinary
What 586 Real Traces Taught Us About LLM Agent Determinism
What 586 Real Traces Taught Us About LLM Agent Determinism How temperature selectively...
Source: DEV Community
ResearchOrdinary
Selective, Risk-Controlled Emotion Forecasting in Conversation: From a Persistence Barrier to Departure Detection with Conformal Guarantees
Forecasting emotion in conversation is increasingly framed as predicting the next emotional state's value. We show this targets a hard quantity in a state-observed testbed and propose a learnable, deployable reformulation instead. On valen…
Source: arXiv
ResearchOrdinary
Information-Matched Auditing of Conversational Emotion-Shift Forecasting: A Leakage-Safe Evaluation Protocol
Comparisons in conversational emotion-shift forecasting are easily distorted when a learned model receives rich features but its transition baseline is given a noisy or unavailable current-emotion label, when hyperparameter budgets differ,…
Source: arXiv
ResearchOrdinary
RECAP: Context-Aware Prediction Recycling with Request-Local and Persistent Memories for Multimodal Speculative Decoding
Recycling a target model's own predictions offers a training-free source of proposals for speculative decoding. In vision-language models, however, existing recycling indexes predictions by the last token alone, conflating predictions comp…
Source: arXiv · Qwen
TutorialsOrdinary
Prompt Versioning and Release Gates for LLM Apps
The fastest way I know to break a working LLM feature is to "just tweak the prompt" on a Friday....
Source: DEV Community
TutorialsOrdinary
SKILL.md is the new package.json — and almost nobody scans it
Agent skills are just markdown files that an LLM will obey. Here's what malicious ones look like, how they were caught with a static analyzer, and why the MCP config file is the most dangerous line that never reaches the model.
Source: DEV Community
TutorialsOrdinary
Your AI Agent Can Query the Database. Give It a Business Map First
An agent can successfully query a database and still give you the wrong answer. Ask, “How many...
Source: DEV Community
TutorialsOrdinary
Don't let an unattended model rewrite its own prompt
Unattended LLM pipelines fail in ways a person would normally fix by editing the prompt. If the...
Source: DEV Community
TutorialsOrdinary
How we built an AI calorie counter that understands Brazilian food from a photo
Notes from building ContaCal, a photo-based calorie logger for Brazilian meals. The pipeline, the hard parts (regional dishes, portions, lunchboxes) and the limits we tell users about.
Source: DEV Community
TutorialsOrdinary
Spec-Driven Development na prática: testando o fluxo em um projeto de ML
Apliquei as fases do Spec Kit em uma tarefa de um projeto de previsão do Brasileirão e conferi o resultado contra a própria spec.
Source: DEV Community
TutorialsOrdinary
Your AI bill grew 4x and nobody can tell you which step did it
A team I talked to last month had a 4x jump in inference spend over one quarter. Not a crisis — they...
Source: DEV Community
TutorialsOrdinary
Postman Desktop Added Itself to Claude Code and Codex. Its Installer Trusts Its Own Hook
A Postman desktop update added its plugin to Claude Code and Codex for an existing user. Its installer is built to approve its own Codex hook. How to check.
Source: DEV Community · Claude
TutorialsOrdinary
Stop being your AI's eyes and hands: pwa-debug lets Claude debug your live, logged-in browser
If you've debugged a web app with an AI assistant, you know the loop: The AI asks what the console...
Source: DEV Community · Claude
TutorialsOrdinary
A 9B assistant built from our specs went from 6 to 32 right answers out of 32. Most of the fixes were code, not prompts
A personal assistant is easy to demo and hard to trust. The demo ends when the assistant answers....
Source: DEV Community
TutorialsOrdinary
The Two Workflows That Wrote to the Same Row and Both Said Success: Race Conditions in n8n
This is part of my build-in-public series on running LLM workflows in n8n in production. Everything...
Source: DEV Community
TutorialsOrdinary
Playwright MCP snapshots cost me 22,556 tokens per page. Here's what I measured
If you let Claude Code, Codex or Cursor drive a browser, a big part of your token bill is page...
Source: DEV Community · Claude / Cursor
TutorialsOrdinary
Build a Q&A Bot over Your Company Docs with Pinecone + Claude (Python, SDK v10)
Chunk, embed, store, retrieve, rerank and answer with citations: a complete RAG walkthrough on Pinecone's new document indexes and the Claude Messages API.
Source: DEV Community · Claude
TutorialsOrdinary
The A2A CLI and Rust: The Same Code, Three Ways to Serve It
A tour of the A2A CLI against Rust agents on A2A v1.0: the official Rust SDK, a plain stdin/stdout program wrapped by a2a server --exec, and an ADK coordinator on Gemini, each timed from the CLI and from a Rust client.
Source: DEV Community · Gemini
TutorialsOrdinary
AI Execution Governance, Part 10: Can Revocation Stop a Call That Is Already Running?
A tool call has passed the gate and is running. Now the role is revoked. Does it stop, or does it...
Source: DEV Community
TutorialsOrdinary
How uv add silently downgraded my pypdf security patch (and how I fixed it)
I merged two PRs to fix my dependency alerts on GitHub. Both had empty diffs. GitHub kept showing 11...
Source: DEV Community
TutorialsOrdinary
My x402 API made $0.08 in its first week. Here is who actually came.
A few weeks ago I put a small API online that agents pay per call with x402, USDC on Base. It scans...
Source: DEV Community
TutorialsOrdinary
OpenAI Says ChatGPT’s Search-Like Query Volume Is About One-Fifth of Google’s
OpenAI says ChatGPT’s web-search-like query volume is roughly 20% of Google’s traditional search...
Source: DEV Community · OpenAI / ChatGPT
TutorialsOrdinary
I ran the same multi-agent experiment twice. Half the conclusions flipped.
In August I ran a controlled experiment on my open-source multi-agent pipeline: the same task, done...
Source: DEV Community
TutorialsOrdinary
Indirect Prompt Injection: How to Protect Your AI Agent with Spotlighting and Prompt Shields
While my AI agent was reading a web page, the page tried to give it orders. The page started with...
Source: DEV Community
TutorialsOrdinary
How I Overhauled DocsGPT's Ingestion Engine & Supercharged RAG Context: My Hacktoberfest 2026 Journey
How I Overhauled DocsGPT's Ingestion Engine & Supercharged RAG Context: My Hacktoberfest 2026...
Source: DEV Community
TutorialsOrdinary
Switch from zero: ship a human-in-the-loop data quality agent to your team chat
I spent the Flip the Switch hackathon building Shield, an agent that checks a daily table, explains...
Source: DEV Community
TutorialsOrdinary
That's a Wrap on Hacktoberfest 2026! 🎃👻
Hacktoberfest 2026 wrapped up on October 31st! Thank you to everyone who built, hosted, mentored,...
Source: DEV Community
TutorialsOrdinary
How to Switch AI Character Chat Apps Without Losing Your Chats, Personas and Lore
Switching AI character chat apps is common: features change, free tiers shrink, rules shift, or...
Source: DEV Community
TutorialsOrdinary
Ctrl+C in a Coding Agent Is Just Byte 0x03. Raw Mode Decides What Happens Next
Agent TUIs can put the terminal in raw mode, so Ctrl+C arrives as byte 0x03, not SIGINT. Here's what that means for Esc, exit and the tests they spawn.
Source: DEV Community
TutorialsOrdinary
Anthropic FlashProve Shows How AI Outputs Could Become Cryptographically Verifiable
Anthropic has introduced FlashProve, an open-source research prototype designed to cryptographically...
Source: DEV Community · Claude
TutorialsOrdinary
The Biggest Problem With AI Test Automation Isn't Writing Tests
A few years ago, creating automated tests was one of the biggest bottlenecks in software...
Source: DEV Community
TutorialsOrdinary
What I Learned Managing a Full Project with Antigravity
How my workflow evolved from solo prompting in AI Studio to managing a multi-model AI team, running...
Source: DEV Community
TutorialsOrdinary
I'm sure there's lot's of other weird trends AI loves to create, but this one is quite funny
Wikipedia dropped this UUID in 2014. Now it's everywhere ...
Source: DEV Community
TutorialsOrdinary
Why freezing completed Markdown blocks reduces streaming rendering work
An AI response arrives as text deltas. A Markdown renderer normally receives a document. Connecting...
Source: DEV Community
TutorialsOrdinary
8 jq Commands That Show What Your Coding Agent Actually Did, From Its Transcript
Claude Code and Codex log every session to JSONL on your disk. Eight jq commands pull out the shell commands, edits, errors, denials, slow calls and model.
Source: DEV Community · Claude
ResearchOrdinary
DreamX: Video Diffusion Model is a Universal Latent Action Learner
Learning a universal action representation from video requires modeling dynamics that are consistent across different executions of the same action yet invariant to changes in embodiment and appearance. Existing latent action models infer …
Source: arXiv