/technology2hGiant Agent Skills Repository by Vercel“Skills are reusable capabilities for AI agents. Install them with a single command to enhance your agents with access to procedural knowledge.”
/technology20hYour Product Operating Model is Broken (And AI is Making it Obvious)Read Stephanie’s article if you want to avoid the “AI as a bolt-on to a feature factory” fate. Product and Agile are changing fast; there is no time to lose to figure out your path.
/technology1dAgile’s AI-Driven Paradigm Shift - Age-of-Product.comThe paradigm shift is here. Andrej Karpathy, former Tesla AI director and OpenAI co-founder, recently admitted he has never felt this far behind as a programmer. If Karpathy feels overwhelmed, how should the rest of us feel? This article maps the shift across three levels: strat
/technology2dThe 2025 AI Engineering Reading List - Latent.Space“We picked 50 paper/models/blogs across 10 fields in AI Eng: LLMs, Benchmarks, Prompting, RAG, Agents, CodeGen, Vision, Voice, Diffusion, Finetuning. If you're starting from scratch, start here.”
/technology2dOpenAI: ChatGPT usage and adoption patterns at workSobering usage patterns and statistics regarding AI adoption in businesses.
/technology2dThe Real Value Journey — Food for Agile Thought #528Welcome to the 528th edition of the Food for Agile Thought newsletter, shared with 35,758 peers. This week, John Cutler presents a five-act narrative exploring how organizations evolve from delivery-focused work toward product-centricity through a messy, iterative value journey,
/technology2dThe AI productivity paradoxThis article explores the AI productivity paradox, where managers perceive increased productivity from AI use, but workers do not. Studies show that while some executives report significant time savings, many workers feel AI has not improved their efficiency. The discrepancy may stem from differing perceptions of productivity, the burden of reviewing AI-generated content, and the unreliability of AI tools. Additionally, the article highlights the potential for AI to shift productivity burdens within organizations and the importance of understanding the capabilities and limitations of AI tools.
/technology4dClaude's new constitution \ AnthropicAnthropic has published a new constitution for its AI model, Claude, outlining the company's vision for the model's values and behavior. The constitution is a foundational document that shapes how the model is trained and its interactions with the world. It emphasizes the importance of being broadly safe, ethical, compliant with Anthropic's guidelines, and genuinely helpful. The document is intended to provide transparency and guide future development of AI models.
/technology4dHow Does ChatGPT Work? A Guide for the Rest of UsThis Product Talk article explains how large language models like ChatGPT work. It breaks down the process into three parts: 1) The input - how your prompt is converted into tokens and embeddings that the model can process. 2) The black box - how the model uses attention and transformer blocks to understand context and generate a response. 3) The output - how the model predicts the next token based on the enriched embedding of the last token. The article aims to demystify the technology behind large language models and help readers better understand their strengths and weaknesses.
/technology6dHow to write a good spec for AI agents - by Addy OsmaniBest overview of practices and what to avoid so far…
/technology7dAI companies will fail. We can salvage something from the wreckage | AI (artificial intelligence) | The GuardianThis article discusses the potential negative impacts of AI and the AI bubble, arguing that many AI companies will fail but useful tools and knowledge will remain. The author emphasizes the importance of understanding the true nature of AI and its implications for workers, society, and the economy. He also warns against the hype and misinformation surrounding AI and calls for a serious fight against the forces fueling the AI bubble.
/technology7dRalph Wiggum Ships Code While You Sleep. Agile Asks: Should It?Generative AI removes the natural constraint that expensive engineers imposed on software development. When building costs almost nothing, the question shifts from “can we build it?” to “should we build it?” The Agile Manifesto’s principles provide the discipline that these c
/technology9dAnthropic opens up its Claude Cowork feature to anyone with a $20 subscriptionIt’s a bargain at $100/month; it is a no-brainer at $20/month.
/technology9dNon-Coder Claude Code — Food for Agile Thought #527Welcome to the 527th edition of the Food for Agile Thought newsletter, shared with 35,767 peers. This week, Grant Harvey and Alberto Romero track Claude Cowork, the non-coder Claude Code, bringing agentic work to non-coders. They highlight safety limits plus the human judgment be
/technology10dAnthropic Economic Index report: Economic primitivesThis Anthropic Economic Index report analyzes AI usage patterns of the language model, Claude, in November 2025, just before the release of Opus 4.5. It introduces new metrics, called economic primitives, to provide insights into five dimensions of AI use: task complexity, human and AI skills, work, coursework or personal use, AI's level of autonomy, and task success. The report finds that AI usage is geographically concentrated, with higher-income countries using AI more collaboratively while lower-income countries focus on coursework and specific applications. It also shows that AI tends to be used more, and provides greater productivity boosts, on tasks that require higher education. The report suggests that the impact of AI on the economy is unlikely to be uniform, and that the labor market implications for different workers will hinge on how reliable AI tools are for their most central tasks.
/technology11dClaude Cowork for Agile Practitioners — Age-of-Product.comThere are rarely stop-the-press moments in technology. Most “announcements” are incremental improvements dressed up in marketing language. Claude Cowork is different. Anthropic released it on January 12, 2026, and it marks a turning point for how non-developers can work with AI.
/technology12dClaude Cowork, Explained: Everything to Know about Anthropic's Answer to Claude Code for NormiesThis article explains Anthropic's new tool, Cowork, which is designed to make the power of AI accessible to non-coders. Cowork allows users to delegate tasks to AI, such as organizing files, creating spreadsheets, and drafting reports. The tool is a response to the growing popularity of general-purpose AI agents and aims to democratize AI capabilities. The article also discusses the technical aspects of Cowork, its potential impact on the future of work, and the recent backlash from developers due to Anthropic's restrictions on third-party tools.
/technology14dThe A3 Framework: Assist, Automate, Avoid - Age-of-Product.comThe A3 Framework categorizes AI delegation before you prompt: Assist (AI drafts, you actively review and decide), Automate (AI executes under explicit rules and audit cadences), or Avoid (stays entirely human when failure would damage trust or relationships). Most AI training tea
/technology16dThe Claude Code Moment — Food for Agile Thought #526Welcome to the 526th edition of the Food for Agile Thought newsletter, shared with 35,788 peers. This week, Ethan Mollick and Teresa Torres unpack how Claude Code’s agentic architecture and workflow primitives hint at a new era of autonomous work: powerful, yet risky in practice.
/technology16dClaude Code and What Comes Next — LLM predictions for 2026This blog post discusses Simon Willison's predictions for the tech industry in 2026, shared during an episode of the Oxide and Friends podcast. Key predictions include the undeniable quality of LLM-generated code, the resolution of sandboxing issues, a potential security disaster for coding agents, an outstanding breeding season for Kākāpō parrots, the resolution of the Jevons paradox for software engineering, the creation of a new browser using AI assistance, and the decline of manual coding.
/technology19dWho Will Get Canned in 2026?Human labor and connection are only a “premium experience for those who want it, not the default?” (Not to mention the affordability aspect; think of live concerts.)
/technology20dCode Review in the Age of AIThe article discusses how AI has transformed code review practices. AI has made the burden of proof explicit, requiring evidence like manual verification and automated tests to ship changes. Solo developers rely on automation to keep up with AI speed, while teams use review for risk, intent, and accountability. AI excels at drafting features but falters on logic, security, and edge cases, making errors 75% more common in logic alone. The challenge is to balance the speed of AI with the need for human verification. The workflow and mindset differ dramatically depending on whether you’re solo or working in a team where others maintain your code.
/technology21dA3 Framework by AI4Agile – Age-of-Product.comWithout a decision system, every task you delegate to AI is a gamble on your credibility and your place in your organization’s product model. AI4Agile’s A3 Framework addresses this with three categories: what to delegate, what to supervise, and what to keep human.
/technology23dProduct Model Failures — Food for Agile Thought #525🎉 Happy 2026 and welcome to the 525th edition of the Food for Agile Thought newsletter, shared with 35,782 peers. This week, John Cutler warns of product operating model failures when artifacts replace enabling conditions, while Stephanie Leue shows how reactive overload blo
/science23dPublishing your work increases your luckThis guide explains how publishing your work can increase your luck by expanding your Luck Surface Area. It emphasizes the importance of doing work and sharing it publicly to build a reputation and attract unexpected opportunities. The guide encourages readers to overcome their fears of sharing and start publishing their work on various platforms.
/technology23d2025 letter | Dan Wang“One way that Silicon Valley and the Communist Party resemble each other is that both are serious, self-serious, and indeed, completely humorless.”
/technology27dData ManifestoThis blog post, titled 'Data Manifesto', outlines principles about data ownership, its natural habitat, and the rights and responsibilities associated with data. It emphasizes that data cannot be owned, exists in the commons, and is a shared resource. The post also highlights the importance of data moving and connecting, the value of metadata, and the need for technological and social tools to manage data relationships.
/technology28dWhy Nvidia maintains its moat and Gemini won’t kill OpenAI - SiliconANGLEThis article from SiliconANGLE discusses why Nvidia maintains its market advantage and why Gemini is unlikely to disrupt OpenAI. It argues that despite the hype around Tensor Processing Units (TPUs) and Gemini, Nvidia's upcoming GB300 and Rubin chips will reinforce its position due to their design for high bandwidth and scale. The article also contends that Google faces an innovator's dilemma in transitioning from its search-based advertising model to an AI-native experience without disrupting its profitable search engine model. It concludes that while model quality is important, the real battle is over the software and services around the models, with OpenAI currently leading in platform execution and enterprise adoption.
/technologyDec 22ndThe Immunity Response: How Organizations Neutralize Change –...This article is Part 3 of a three-part series. In Part 1, Agile Is Dead, Long Live Agility, we saw how the Agile brand became toxic while the principles spread faster than ever under different names. In Part 2, The Reformation That Became the Church, we traced how every disruptiv