Air Canada lost a legal case in late 2022 when its customer service chatbot provided incorrect bereavement fare information, leading to a passenger's successful lawsuit. The failure stemmed from a RAG…
Software effort estimation remains essential in 2026, but its focus has shifted upstream to specification creation for coding agents, according to a blog post by Derek M. Jones. A recent study found t…
Google's Open Knowledge Format (OKF) standard enables LLMs to work with a wiki in a git repo without RAG, but the author argues that as knowledge accumulates, it rots due to LLM-generated content and …
A technical analysis warns that autonomous treasury agents using large language models can duplicate wire transfers when retry logic lacks idempotency keys, citing a scenario where a $5,000,000 vendor…
A developer used 'vibe coding' to create a rogue-like game in Common Lisp, leveraging an LLM to write most of the code while making targeted adjustments. The game features a real-time, turn-based hybr…
Mozilla released Firefox 154 and MZLA released Thunderbird 155 on September 24, 2025, marking the start of a new fortnightly release cadence announced in July. Firefox 154 expands AI features like Sma…
Bash, the Unix shell, is the most effective interface for coding LLMs because it grants models access to the entire ecosystem of command-line tools with zero integration cost, according to a technical…
A developer has built a closed-loop health assistant using LangGraph, LangChain, and the HealthKit API. The system detects heart rate anomalies, verifies symptoms with the user, and automatically book…
A developer demonstrates building a Retrieval-Augmented Generation (RAG) application using Spring AI, connecting large language models to private data sources. The post outlines the RAG pipeline, incl…
A shift in software engineering interviews is underway, with forward-thinking companies replacing LeetCode-style algorithmic puzzles with 'Agentic Era' simulations where candidates manage AI agents to…
A developer detailed the architecture of a retrieval-augmented generation (RAG) system, breaking it into two main pipelines: the knowledge pipeline, which ingests and indexes source data, and the quer…
A security researcher has developed a Datalog engine for LLM agents to maintain knowledge during vulnerability research, addressing the problem of models losing track of established facts. The system …
A production-grade LLM-powered pricing system that keeps all numeric computations deterministic while using LLMs for structured extraction and policy selection reduced order handling time from 10 minu…
Researchers proposed FLINT, a workload-driven high-bandwidth flash (HBF) substrate that integrates 3D-stacked NAND flash as a memory-capacity tier alongside HBM to accelerate large language model (LLM…
SerenAI CEO Taariq Lewis argues that LLMs cannot reliably estimate software delivery times, as they either sandbag estimates or agree with any human challenge, and that engineering with AI is impossib…
Software engineers should stop using LLMs to write implementation logic and instead use them as requirements architects, according to a new essay. The approach involves eliciting requirements, generat…
A user reports that NixOS, a Linux distribution, has been enjoyable in their latest desktop setup, and that large language models (LLMs) significantly help manage the vast information needed to use it…
Sablejs 2.0, an open-source JavaScript sandbox, introduces Ahead-of-Time (AOT) sandboxing to safely execute untrusted AI-generated code by statically analyzing and transforming it before execution, el…
A proof-of-concept module for LLM homeostasis, based on a 2nd-Generation Homeostatic Kernel architecture, aims to control statistical divergence in first-generation LLMs by sandwiching a probabilistic…
A new technical approach proposes using LLM agents to automate the migration of legacy C++ code to Rust, addressing memory safety issues by treating the process as a structured prompt engineering task…