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When a new coding model comes out, I want to try it. New releases always carry a promise for me. Maybe it can handle a change that needed too much manual intervention before. Maybe it can find the problem an earlier model kept missing. Maybe it can handle some coding scenarios that my favorite model
When a new coding model comes out, I want to try it. New releases always carry a promise for me. Maybe it can handle a change that needed too much manual intervention before. Maybe it can find the problem an earlier model kept missing. Maybe it can handle some coding scenarios that my favorite model
I recently used a coding agent to build Task Viewer, a small community helper for IBM Bob that we use internally at IBM. It’s a convenience plug-in to Bob, with no critical production role. Despite helping some users internally, for me it’s a real-world experiment on a project to find out how much of the
In my previous article, I argued that agentic development needs enough specification to make correctness checkable. A quick prompt can get implementation started quickly, but someone still has to decide whether the result does what we wanted. I left a fairly practical question unanswered, though. Once the agent has written the code, how should we
The following article originally appeared on Robert Englander’s blog site and is being reposted here with the author’s permission. The software industry has become deeply focused on autonomous AI systems. Agents that can replace workers. Agents that can write software. Agents that can operate applications on our behalf. Entire startups are now built around the
The Future of Software May Be Conversational Rather Than Autonomous Read More »
The following article originally appeared on Robert Englander’s blog site and is being reposted here with the author’s permission. The software industry has become deeply focused on autonomous AI systems. Agents that can replace workers. Agents that can write software. Agents that can operate applications on our behalf. Entire startups are now built around the
The Future of Software May Be Conversational Rather Than Autonomous Read More »
The following article originally appeared on Vanishing Gradients and is being republished here with the authors’ permission When an AI agent can explore a dataset, choose a modeling approach, run the analysis, and explain its findings, what should the data scientist do? Traditionally, data scientists chose each step and implemented much of the analysis themselves.
AI can now generate a surprising amount of frontend code from a short description. A developer can ask for a form, a table, a modal, a settings page, or a dashboard view and get something that looks usable almost immediately. It may compile, render, and even arrive with a few tests. That is useful, but
Evaluating AI-Generated Frontend Code: What Should We Actually Test? Read More »
The following article originally appeared on Elevate and is being reposted here with the author’s permission. A software factory is a repeatable loop around software work. If you’re building a software factory, code good enough to ship still needs human taste and ownership. We’ll discuss this including whether you need a factory just yet. If
Human Judgment Doesn’t Leave the Software Factory, It Relocates Read More »
The following article originally appeared on Arize’s blog and is being reposted here with the author’s permission. This week the AI community was in uproar about Jev from TypeSafe, not just a new model but a new kind of model: one that classifies, scores, and routes but can’t write a sentence. The reason for the
Will TypeSafe’s Jev Change How We Build AI Applications? Read More »
