Faster PRs, Weaker Instincts: The Judgment Problem in AI-Assisted Engineering
I thought the dashboard was telling me good news. My team had adopted AI-assisted coding quickly, and for a while it looked like exactly what everyone…
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The Requests library for AI one Unified Python SDK for every LLM provider
UniversalAI The Requests library for AI — one unified SDK for every LLM provider. Write once, run anywhere. pip install universal-ai from universal_ai…
AI Roundup Jul 31: OpenAI's 80% Price Cut, Whole-Body Robotics, and the Pacing-the-Frontier Letter
Part of my daily AI roundup series. Human-curated; AI-assisted in research and drafting. Every item links its primary source. Six stories worth your a…
Hardening an AI coding agent: the failures, and the code that fixed them
At Univoco we build retrieval-augmented assistants over a customer's own documentation. One of them is a coding agent that writes code for a proprieta…
Мобильный клиент для LM Studio: Мультичат и выбор моделей на лету
Продолжение начало https://habr.com/ru/articles/956272/ Привет! Прошло время с момента выхода первой версии моего мобильного клиента для LM Studio. Пр…
Spring AI: Bringing Generative AI into Spring Boot Applications
Artificial Intelligence has moved from being something handled by specialized data-science teams to becoming a feature that application developers can…
5 Practical RAG Challenges and How to Mitigate Them
Retrieval-Augmented Generation (RAG) sounds simple on paper: embed your documents, retrieve the relevant chunks, stuff them into a prompt, let the LLM…
Building Production AI Systems(Final)
Designing AI Systems That Outlive Today's Models If there's one lesson this series has taught me, it's this: Don't build your application around a mod…
Impact of Inference Backends on LLM Reproducibility: Notes from a Research Paper
Recently I read aboyt this article: The Silent Hyperparameter: Quantifying the Impact of Inference Backends on LLM Reproducibility Here is what I lear…
PIVOT Explained — From Paper to Working Code in 10 Minutes
You enabled sparse attention. Your model still chokes at 128K tokens. The indexer is why — and PIVOT fixes it without touching your weights. TL;DR Spa…
Why I don't use an LLM to secure my LLM
"So you're anti-LLM for security?" No. I'm anti-lazy-architecture. Let me explain the distinction, because it's the core design decision behind the to…
The token compressor that made my bill go up — and the proof it had to
I went looking for a small improvement to an open-source tool. I found a number that pointed the wrong way, and then I found out why it had to. Live d…
Corrective RAG for billing: the bug is not retrieval, it's the model narrating correct numbers wrong
Most RAG demos are graded by an audience that cannot check the answer. Ask a docs bot something, get a fluent paragraph back, nobody in the room knows…
Trace digests for LLM monitoring, at 1/30th the price of Sonnet
We run one LLM call on every agent trace we ingest: it reduces the trace to a short, searchable digest. Because it runs on every trace from every cust…
How to Fact-Check ChatGPT: The Copy-Paste Prompt I Use to Verify AI Output
A ChatGPT answer doesn't stay in the chat window. It gets pasted into a PR description, quoted in a design doc, repeated in a meeting as "apparently…"…
AI will never replace tech workers because AI is not human
When we talk about AI these days, we're usually talking about large language models. To an LLM, the only reality it knows is data, and to be more spec…
AI Agent Security Audit: From MCP Penetration Testing to LLM Vulnerability Assessment
AI Agent Security Audit: From MCP Penetration Testing to LLM Vulnerability Assessment The rapid adoption of AI agents and MCP (Model Context Protocol)…
I gave the same fabricated answer to RAGAS and DeepEval. One scored it 0.0. The other scored it 1.0
Here's an output from a RAG system asserting a pricing claim it was never given, for a question its context couldn't answer. I ran it past the two mos…
Testing Non-Deterministic LLM Pipelines in CI: A Contract-Based Approach
Most CI pipelines assume a function called with the same input twice returns the same output. That assumption breaks the moment an LLM call enters you…
OpenEval: Why LLM Evaluation Needs a Standard Format
Every LLM evaluation framework today invents its own test case format, its own grader definitions, and its own results schema. DeepEval, Promptfoo, In…
LLM TRADER BOT
Let me tell you a story about failure. Late 2024. I'm sitting in my Wrocław apartment after an 8-hour warehouse shift. My back hurts. I've been trying…
One TPU Chip, Eight Agents: Serving Small Agent Workloads with Raw JAX
Cloud TPU v6e-1 ( ct6e-standard-1t , one v6e chip, 32 GB HBM), GCE flex-start, europe-west4-a. vLLM baseline measured 2026-07-21. The workload nobody …
Claude Opus 5 Is Better at Coding and Harder to Trust
Claude Opus 5 completed one of my coding tasks considerably faster than Opus 4.8. There was just one problem: it confidently reported that the issue w…
AI-Driven Development: Transforming Software Workflows in 2026
AI-Driven Development: Transforming Software Workflows in 2026 In 2026, the software development landscape has undergone a seismic shift. Artificial i…
Why My Local Coding Agent Could Act but Couldn't Finish
There was a month where I blew through my token budget without noticing. Claude Code and Codex, running most of the day, on a codebase I was exploring…
ИИ-Автопилот: замкнутый цикл разработки на C++ — от тикета до проверки в живом GUI
Я заметил, что стал копипастером задач в ИИ-агента и обратно, а из программиста превратился в GUI-тестера. Не самая моя любимая работа. Сначала наваял…
Stop Stuffing Your LLM Agent's Context Window: Structured Memory Categories with Mem0
Stop Stuffing Your LLM Agent's Context Window: Structured Memory Categories with Mem0 Most tutorials on giving an LLM agent "memory" show you the same…
My eval said a perfect MCP server was broken. It was the eval that was lying.
Originally published at tengli.dev When I added an LLM-powered eval to mcpgrade , the first real run produced a result that looked like a scoop: conte…
Your eval's confidence interval assumes independent examples. Yours are clustered.
Every binomial confidence interval you have ever computed on an eval pass rate, Wald, Wilson, Clopper-Pearson, all of them, rests on one assumption: e…
Building Local AI Agents in Java with Tools4AI and Ollama: An Insurance Claims Use Case
Tools4AI is a 100% Java agentic AI framework that turns any annotated Java method into an AI-callable action. Ollama runs open models like Llama 3.1 a…