OpenBox
<p> See, verify, and govern every agent action. </p> <p> <a href="https://www.producthunt.com/products/openbox?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1112203?app_id=339">Link</a> </p>
Could not retrieve the full article text.
Read on Product Hunt →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
productagent
Developers Are Designing for AI Before Users Now
<p>A quiet shift is happening in modern web development.</p> <p>For years, developers designed applications with one priority: users.</p> <p>UI came first.<br><br> User flows came first.<br><br> User experience came first. </p> <p>Backend, APIs, and integrations were built around that experience.</p> <p>But today, something has changed.</p> <p>Developers are increasingly designing systems with <strong>AI in mind before users</strong>, and this is reshaping how frontend, UX, and fullstack engineering work.</p> <h2> The Old Way of Building Applications </h2> <p>Traditional product development looked like this:</p> <p>Design UI → Build frontend → Connect backend → Launch</p> <p>The focus was simple:</p> <ul> <li>What does the user need?</li> <li>How will they interact?</li> <li>What is the ea
The Hidden Cost of Copy-Pasting Code Into ChatGPT
<p>AI coding tools promise faster development. The <a href="https://metr.org/blog/2025-07-10-early-2025-ai-developer-study/" rel="noopener noreferrer">METR study</a> found the opposite: experienced developers were 19% slower on complex tasks when using AI, even though they perceived themselves as 20% faster. The biggest contributor wasn't bad code generation. It was the workflow around it.</p> <p>Every time you alt-tab from your editor to a chat window, paste a function, explain what it does, describe the bug you're seeing, read the response, mentally translate it back to your codebase, switch back to your editor, and apply the changes, you're paying a productivity tax that compounds across a day of work. <a href="https://www.microsoft.com/en-us/research/uploads/prod/2022/07/Disrupted_and_
The 5th Agent Orchestration Pattern: Market-Based Task Allocation
<p>Most conversations about agent orchestration patterns settle on the same four: pipeline, supervisor, router, blackboard. Each solves coordination differently. Pipelines chain steps linearly. Supervisors centralize control. Routers classify and dispatch. Blackboards let agents coordinate through shared state without direct communication.</p> <p>These four cover a lot of ground. But there is a fifth pattern that comes from an older field, and it solves a problem the other four handle poorly: dynamic allocation across heterogeneous agents when cost matters.</p> <h2> The Pattern: Auction-Based Task Allocation </h2> <p>Instead of a supervisor deciding which agent handles a task, you let agents bid on it.</p> <p>The mechanism works like this. A task enters the system. It gets broadcast to all
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Developers Are Designing for AI Before Users Now
<p>A quiet shift is happening in modern web development.</p> <p>For years, developers designed applications with one priority: users.</p> <p>UI came first.<br><br> User flows came first.<br><br> User experience came first. </p> <p>Backend, APIs, and integrations were built around that experience.</p> <p>But today, something has changed.</p> <p>Developers are increasingly designing systems with <strong>AI in mind before users</strong>, and this is reshaping how frontend, UX, and fullstack engineering work.</p> <h2> The Old Way of Building Applications </h2> <p>Traditional product development looked like this:</p> <p>Design UI → Build frontend → Connect backend → Launch</p> <p>The focus was simple:</p> <ul> <li>What does the user need?</li> <li>How will they interact?</li> <li>What is the ea
What Is New In Helm 4 And How It Improves Over Helm 3
<p>The release of <strong>Helm 4</strong> marks a massive milestone in the <strong>Kubernetes</strong> ecosystem. For years developers and system administrators have relied on this robust package manager to template deploy and manage complex cloud native applications. When the maintainers transitioned from the second version to <strong>Helm 3</strong> the community rejoiced because it completely removed <strong>Tiller</strong>. That removal drastically simplified cluster security models and streamlined deployment pipelines. Now the highly anticipated <strong>Helm 4</strong> is stepping into the spotlight to address the modern challenges of <strong>DevOps</strong> workflows. This comprehensive blog post will explore exactly what is new in <strong>Helm 4</strong> and how it provides a vastly
Promoting raw BG3 gameplay bundle previews in the TD2 SDL port
<h1> Promoting raw BG3 gameplay bundle previews in the TD2 SDL port </h1> <p>Today's checkpoint was small in code size but important in interpretation.</p> <p>The late gameplay bundles in the project already had useful <code>BG1</code>, <code>BG2</code>, <code>OBJ</code>, and screenshot-derived support surfaces, but they were still weak on one practical question: when design flagged the sky/horizon side of gameplay, were we looking at a missing asset, or were we looking at a composition problem?</p> <p>I closed that ambiguity by extending the gameplay bundle builder to emit first-class <code>BG3</code> artifacts next to the existing layer outputs:</p> <ul> <li><code>bg3.ppm</code></li> <li><code>bg3.png</code></li> <li><code>bg3_render.json</code></li> </ul> <p>Then I refreshed the promote
The Hidden Cost of Copy-Pasting Code Into ChatGPT
<p>AI coding tools promise faster development. The <a href="https://metr.org/blog/2025-07-10-early-2025-ai-developer-study/" rel="noopener noreferrer">METR study</a> found the opposite: experienced developers were 19% slower on complex tasks when using AI, even though they perceived themselves as 20% faster. The biggest contributor wasn't bad code generation. It was the workflow around it.</p> <p>Every time you alt-tab from your editor to a chat window, paste a function, explain what it does, describe the bug you're seeing, read the response, mentally translate it back to your codebase, switch back to your editor, and apply the changes, you're paying a productivity tax that compounds across a day of work. <a href="https://www.microsoft.com/en-us/research/uploads/prod/2022/07/Disrupted_and_
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!