cartero Saturday, August 15, 2026 · No. 26031
Prompt Engineering

Structured-Prompt-Driven Development (SPDD)

LLM programming assistants have demonstrated considerable value, but mostly with individual developers. The internal IT organization in Thoughtworks has been using them for their teams and have developed a method and workflow called Structured Prompt-Driven Development (SPDD). Wei Zhang and Jessie Jie Xia describe a simple example of this workflow with details in github. This workflow treats the prompts as a first-class artifact, kept with the code in versi...

xAI

The Download: Musk and Altman’s legal showdown, and AI’s profit problem

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Elon Musk and Sam Altman are going to court over OpenAI’s future Elon Musk and OpenAI CEO Sam Altman head to trial this week in a case with sweeping consequences. Ahead…

PostgreSQL

Jan Wieremjewicz: pgBackRest is archived, what now?

pgBackRest is an open source backup and restore tool for PostgreSQL. It’s fair to say it’s one of the most popular options, widely used across the PostgreSQL ecosystem. On 27 April 2026, pgBackRest maintainer David Steele announced on LinkedIn and in the GitHub repository that the project is becoming unmaintained archived, starting with: TL;DR: pgBackRest is no longer being maintained. If you fork pgBackRest, please select a new name for your project.

Software Engineering

Thoughts on the Boiling Frogs 2026 conference

On the 21st of March I traveled to Wrocław for the Boiling Frogs conference — my first in a while. I expected a day of technical talks. What I got instead was a surprisingly philosophical look at what it means to be a software engineer right now: why we work, whether AI is coming for our jobs, and how many LEGO bricks fit in a tube.

Database Administration and Tooling

Gabriele Bartolini: Why the cycle of open-source sustainability needs to be virtuous

Yesterday, David Steele announced the end of life of pgBackRest — a PostgreSQL backup tool he maintained for thirteen years. The reasons are structural, not personal, and they are a reminder of a pattern we see too often in open-source infrastructure. This article reflects on what that means, on the architectural rivalry between pgBackRest and Barman, and on why CloudNativePG users can take confidence from both the project’s CNCF governance and the virtuous cycle of commercial support tha...

Exploit Development

GTFOBins

Business Intelligence

Your LLM issues are really data issues

Ryan welcomes Harsha Chintalapani, co-founder and CTO at Collate and co-creator of Open Metadata, to the show to discuss why AI and LLMs struggle with real-time, structured production data.

Fine-tuning and PEFT

A learning health system in Neurorehabilitation as a foundation for multimodal patient representation

arXiv:2604.22763v1 Announce Type: new Abstract: Neurological disorders represent a growing global health burden requiring long-term, interdisciplinary rehabilitation. Computational neurorehabilitation (compNR) - the use of data-driven and model-based approaches to personalize treatment - offers new opportunities for precision rehabilitation. However, its clinical deployment is limited by fragmented data systems, poor interoperability, and low clinician engagement in model development. We emb...

Artificial Intelligence

Behavioral Intelligence Platforms: From Event Streams to Autonomous Insight via Probabilistic Journey Graphs, Behavioral Knowledge Extraction, and Grounded Language Generation

arXiv:2604.22762v1 Announce Type: new Abstract: Contemporary product analytics systems require users to pose explicit queries, such as writing SQL, configuring dashboards, or constructing funnels, before insights can surface. This pull-based paradigm creates a bottleneck: it requires both domain knowledge and technical fluency, and assumes practitioners know in advance which questions to ask. We argue that behavioral analytics should move from passive systems that answer queries to active sy...

Artificial Intelligence

CS3: Efficient Online Capability Synergy for Two-Tower Recommendation

arXiv:2604.22761v1 Announce Type: new Abstract: To balance effectiveness and efficiency in recommender systems, multi-stage pipelines employ lightweight two-tower models for large-scale candidate retrieval. However, their isolated architecture inherently hampers representation capacity, embedding-space alignment, and cross-feature modeling. Prior studies have explored incorporating late interaction or knowledge distillation to mitigate these issues, but such approaches often significantly in...

RAG

Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering

arXiv:2604.22759v1 Announce Type: new Abstract: In community question answering (cQA) platforms like Stack Overflow, related question retrieval is recognized as a fundamental task that allows users to retrieve related questions to answer user queries automatically. Although many traditional approaches have been proposed for investigating this research field, they mostly rely on static approaches and neglect the interaction property. We argue that the conversational way can well distinguish t...

LLM Evaluation

Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking

arXiv:2604.22760v1 Announce Type: new Abstract: Large language models (LLMs) increasingly operate as autonomous agents that reason over external APIs to perform complex tasks. However, their reliability and agreement remain poorly characterized. We present a unified benchmarking framework to quantify inter-LLM divergence, defined as the extent to which models differ in API discovery and ranking under identical tasks. Across 15 canonical API domains and 5 major model families, we measure pair...

RAG

RedParrot: Accelerating NL-to-DSL for Business Analytics via Query Semantic Caching

arXiv:2604.22758v1 Announce Type: new Abstract: Recently, at Xiaohongshu, the rapid expansion of e-commerce and advertising demands real-time business analytics with high accuracy and low latency. To meet this demand, systems typically rely on converting natural language (NL) queries into Domain-Specific Languages (DSLs) to ensure semantic consistency, validation, and portability. However, existing multi-stage LLM pipelines for this NL-to-DSL task suffer from prohibitive latency, high cost, ...

RAG

StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems

arXiv:2604.22757v1 Announce Type: new Abstract: We introduce StratRAG, an open-source retrieval evaluation dataset for benchmarking Retrieval-Augmented Generation (RAG) systems on multi-hop reasoning tasks under realistic, noisy document-pool conditions. Derived from HotpotQA (distractor setting), StratRAG comprises 2,200 examples across three question types -- bridge, comparison, and yes-no -- each paired with a pool of 15 candidate documents containing exactly 2 gold documents and 13 topic...

Artificial Intelligence

Your Reviews Replicate You: LLM-Based Agents as Customer Digital Twins for Conjoint Analysis

arXiv:2604.22756v1 Announce Type: new Abstract: Conjoint analysis is a cornerstone of market research for estimating consumer preferences; however, traditional methods face persistent challenges regarding time, cost, and respondent fatigue. To address these limitations, this study proposes a framework that utilizes large language model (LLM)-based "customer digital twins (CDT)" as virtual respondents. We identified active users within the Reddit community and aggregated their comprehensive r...

RAG

RADIANT-LLM: an Agentic Retrieval Augmented Generation Framework for Reliable Decision Support in Safety-Critical Nuclear Engineering

arXiv:2604.22755v1 Announce Type: new Abstract: Reliable decision support in nuclear engineering requires traceable, domain-grounded knowledge retrieval, yet safety and risk analysis workflows remain hampered by fragmented documentation and hallucination when use pre-trained large language model (LLM) in specialized nuclear domains. To address these challenges, this paper presents RADIANT-LLM (Retrival-Augumented, Domain-Intelligent Agent for Nuclear Technologies using LLM), a multi-modal re...

Meta AI

HalalBench: A Multilingual OCR Benchmark for Food Packaging Ingredient Extraction

arXiv:2604.22754v1 Announce Type: new Abstract: No standardized benchmark exists for evaluating OCR on food packaging, despite its critical role in automated halal food verification. Existing benchmarks target documents or scene text, missing the unique challenges of ingredient labels: curved surfaces, dense multilingual text, and sub-8pt fonts. We present HalalBench, the first open multilingual benchmark for food packaging OCR, comprising 1,043 images (50 real, 993 synthetic) with 36,438 an...

Database Administration and Tooling

Christophe Pettus: All Your GUCs in a Row: archive_mode

archive_mode is the master switch for WAL archiving. With the last three posts under our belts — archive_cleanup_command, archive_command, archive_library — we now get to the parameter that decides whether any of that machinery runs at all. Three values: off (default), on, and always. Context is …

Database Administration and Tooling

I built a lightweight SQL migration + source-control tool for teams managing stored procedures, views, and schema scripts

I’ve worked on teams where database changes were scattered across environments and hard to track, so I built MigrationTracker. Repo: https://github.com/CatFortman/MigrationTracker I was inspired by Entity Framework migrations and SQL source-control tools. Features: • Timestamp-based migration ordering • SHA-256 checksum validation • Git hook automation for script validation • SQL object source control organization • Multi-database / tagged deployments Would love feedback from anyo...

xAI

Elon Musk and Sam Altman are going to court over OpenAI’s future

After a yearslong legal feud, Elon Musk and OpenAI CEO Sam Altman are heading to trial this week in Northern California in a case that could have sweeping consequences. Ahead of OpenAI’s highly anticipated IPO, the court could rule on whether the company is allowed to exist as a for-profit enterprise and might even oust…