development
development on Beyond Market Intelligence: a running collection of 44 stories we have gathered and hand-picked because they are worth your time. Every post here touches on development in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around development, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Anyone here working on AI/ML projects? I’d like to join and contribute [R]
For those engaged in AI/ML projects, a valuable contributor is seeking to join your efforts. /u/Quiet-Cod-9650, currently studying deep learning and with a portfolio of completed projects, is eager to actively contribute and expand their skillset within a collaborative environment. They’re committed to learning and offer a strong desire to help advance ongoing initiatives. Explore potential synergies – if you have a project welcoming contributors, please connect. For further insights into related challenges, see our recent piece, "AI Slop Is Costing You Hours.
How to Build CLI Agents with Python & Ollama
Unlock the power of local AI with this practical guide to building Command Line Interface (CLI) agents using Python and Ollama. This tutorial empowers you to create custom agents from scratch, entirely free of charge. Explore the fundamentals of agent design and implementation, leveraging the efficiency of local LLMs. For a deeper dive into the engineering layers underpinning these systems, see our article, "Prompt, Context, Loop: The Three Engineering Layers Every RAG System Is Built On." Discover a future-focused approach to data interaction and automation.
Embabel Agent Framework Reaches 1.0
Embabel Agent Framework has officially reached version 1.0, establishing a robust foundation for AI agent development within the Java ecosystem. This framework empowers Java and Kotlin developers to define agents as typed domain objects, leveraging the established Spring AI infrastructure. Embabel’s design combines flexible planning with predefined state machines, supporting multiple model providers for adaptable agent workflows.
Sam Altman and AI’s decel debate
The conversation around AI's rapid advancement has taken a notable turn. OpenAI CEO Sam Altman recently urged the industry to consider slowing the pace of AI development, sparking debate about responsible innovation. On the latest episode of Equity, we delve into the reasoning behind this call for measured progress. This discussion arrives amidst a surge of AI-powered applications – as illustrated by the recent explorations into AI agents detailed in “I Replaced a 15-Minute Booking Process with a LangGraph AI Agent.
You're Competing Wrong in AI (Do This Instead)
Many organizations are approaching AI adoption by directly competing with established large language models—a strategy likely to yield diminishing returns. Instead, focus on building AI-native applications tailored to specific workflows. This shift empowers teams to unlock unique value and achieve transformative gains. Explore how specialized AI solutions can elevate your data management, rather than chasing broad imitation. For a deeper understanding of potential pitfalls, see our article, "Agentic Misalignment Explained." Discover a future-focused approach to AI that delivers tangible results.
The Python Ecosystem That Changed AI Development
The rise of modern AI is inextricably linked to the Python ecosystem. This open-source environment fostered unprecedented accessibility, democratizing state-of-the-art techniques previously confined to research labs. Explore how Python's libraries – from NumPy and Pandas to TensorFlow and PyTorch – empowered a generation of developers and transformed AI development. Discover the collaborative spirit and rapid innovation that defined this shift, fundamentally reshaping the landscape of data science and machine learning. For a deeper dive into related challenges, see “Dili raises $21.
AI-Assisted Software Development: Team Profiles and Capabilities for Putting Research into Action
Harness the power of AI to accelerate software development. DORA’s 2025 research, detailed by Ben Linders, identifies key team profiles and success capabilities, demonstrating that strategic focus on organizational systems yields the greatest returns—AI acts as a powerful amplifier. Explore actionable insights from this research to transform your development workflows. For deeper context on the evolving AI landscape, see "Microsoft is openly competing with OpenAI, Anthropic more than ever," and discover how these shifts impact the industry.
Podcast: Rethinking Data: Moving From the Traditional Three-Tier Web Stack to Client-Side Event Sourcing
Johannes Schickling challenges conventional wisdom in our latest podcast, "Rethinking Data." He details his journey moving beyond the traditional three-tier web stack to a local-first architecture, sharing his experience building Overtone—a music curation app—with client-side event sourcing and SQLite. This episode unpacks the practical trade-offs inherent in event sourcing and CRDTs, offering valuable insights for developers seeking a more agile data management approach. For further exploration of evolving architectures, see our article, "An Evolutionary Architecture Pattern for Managing AI’s Pace of Change."
KDnuggets Weekly Roundup: Week of July 20, 2026
This week's KDnuggets Weekly Roundup delivers essential insights for AI professionals. Top of the list: a comparison of 5 MCP Servers optimized for high-performance agentic development. Also featured are 10 newsletters to keep you ahead of the curve, a free 5-day agentic AI course from Kaggle and Google, and a deep dive into Language Model Hallucination Evaluation using GraphEval.
I tried out OpenAI’s new AI keypad — which will be fun for some coders and slightly mystifying to everyone else
OpenAI’s new AI keypad presents a fascinating, albeit niche, development – a tool poised to delight some coders while perplexing others. This innovative interface leverages AI to predict and suggest code snippets, streamlining the development process. While its immediate appeal may be limited, it hints at a broader shift toward AI-powered automation of routine computer tasks, a concept explored in-depth in our article on Prentis, a new AI lab raising $100M. Explore the future of AI-assisted workflows with us.
Lessons Learned After 8.5 Years of ML
After 8.5 years immersed in machine learning, certain core principles consistently emerge. Patience is paramount; progress isn't always linear. Optimism fuels exploration, while discipline ensures rigorous execution. Successful ML isn’t solely about algorithms—it’s about well-defined projects and high-performing teams. These lessons underscore the importance of a grounded, iterative approach. For a deeper dive into practical challenges, consider "Most RAG Hallucinations Are Extraction Errors," which highlights critical error identification in retrieval-augmented generation systems.
7 Best Claude Code Alternatives for CLI Agentic Coding
Facing constraints with Claude Code’s cost or context window for your CLI agentic coding workflows? Discover seven compelling alternatives that offer speed, affordability, and enhanced control. This guide explores open-source tools and local models, including options with MCP support, empowering developers to optimize their AI-driven processes. Explore solutions designed for greater flexibility and efficiency – a significant step forward in agentic coding. For deeper insights into the evolving landscape of production AI, see our coverage of QCon AI New York 2026.
How to Run Claude Code Agents for 24+ Hours
Unlock sustained coding productivity with Claude Code Agents running continuously – even for 24+ hours. This guide explores how to leverage these powerful AI assistants to streamline your engineering workflows and tackle complex projects with unprecedented efficiency. Discover practical techniques for maintaining and optimizing long-running agents, transforming your coding process. For a foundational understanding of setup and configuration, see "A Beginner’s Guide to Setting Up Claude Code for High Performance Agentic Programming" and elevate your agentic programming skills.
Nonprofit Current AI is racing to build the World Wide Web of AI, free for all
Current AI is pioneering a future where powerful AI tools are universally accessible – building what many are calling the World Wide Web of AI, freely available to all. As a non-profit, we're committed to ensuring this transformative technology empowers every culture, achieving remarkable progress across devices, AI chat, and more. Our work addresses concerns highlighted by experts, like Christopher Nolan, who recently cautioned about the potential pitfalls of unchecked AI development.
whats the best and complete way to keep up with ai/ml news? [D]
Staying current in the rapidly evolving AI/ML landscape can feel overwhelming, especially when a single newsletter isn't enough. To ensure you're not left behind, prioritize a multi-faceted approach. Begin with curated aggregators and industry publications, then supplement with focused Twitter/X lists of leading researchers and practitioners. Finally, actively participate in relevant online communities. For deeper insights into related trends, explore our recent article, "Neil Rimer thinks the AI money is coming back out," which offers a valuable perspective on market dynamics.
Developing and Deploying a Platform that the Business Understands and Developers Actually Want
Many platform teams struggle to bridge the gap between what leadership wants and what developers need. Lucas Hornung and Christian Matthaei recently outlined critical strategies to address this, emphasizing the importance of stakeholder engagement, measurable value (like DORA metrics), and clearly articulating the pain points developers experience. Visibility to management, coupled with a focus on demonstrable outcomes, is essential for adoption. For a compelling example of ambitious technological undertakings, see our article on "Why Realta Fusion is building a fusion reactor..."
Amid hardware legal battle, OpenAI releases a $230 keyboard for Codex
Amid ongoing legal challenges with Apple, OpenAI has unveiled a striking new product: a $230 light-up keyboard designed to enhance the experience of its agentic coding application. This unexpected hardware release underscores OpenAI’s continued investment in developer tools despite the current legal complexities. The keyboard’s design prioritizes seamless integration with coding workflows, signaling a future-focused approach to AI-assisted development. For deeper insights into the evolving AI landscape, explore our analysis of Stripe’s recent benchmark revealing challenges in AI agent validation.
Why Realta Fusion is building a fusion reactor at an old hot dog factory
Realta Fusion is forging a future powered by clean energy, and we’re doing it in an unexpected place: a repurposed Oscar Mayer factory in Wisconsin. This innovative location will serve as our primary fusion reactor research and development hub. By leveraging existing infrastructure, we’re accelerating progress towards commercially viable fusion power. Our approach prioritizes accessibility and efficiency, transforming a legacy site into a future-focused center for transformative energy solutions. Explore how Realta Fusion is redefining energy innovation.
Google Cloud Workbench Notebooks Extension Connects VS Code to Google Cloud's Jupyter Notebooks
Streamline your development workflow with the Google Cloud Workbench Notebooks extension for VS Code. This new tool directly connects your local IDE to managed Jupyter notebook environments on Google Cloud, simplifying data exploration and model building. Developers can now leverage Google Cloud’s resources without disrupting their familiar VS Code setup. For those interested in the broader landscape of AI agent interaction, explore our related article, "Google and Industry Partners Announce Agentic Resource Discovery Specification for AI Agents," detailing a new open standard.
Article: Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture
AI accelerates initial development, but often obscures underlying architectural complexity until it presents a critical challenge. Engineering leaders must prioritize systemic comprehension over mere throughput to ensure stability. This article, "Comprehension at AI Speed," introduces a "Context Store"—a repo-bound unification of SDD, TDD, and automated fitness functions—enabling safe code evolution by both AI agents and human reviewers. Authored by Berhe, Bragner, Maran, and Jayaraman, it offers a progressive approach to managing AI-driven development.