Category: Found
Links, news articles, clippings, etc. – classic blog-style.
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mainframes still run money
COBOL remains a widely-used but aging programming language that works across mainframe computers and legacy operating systems, supporting more than 40% of online banking systems, 80% of in-person credit card transactions and 95% of ATM transactions, according to mainframe provider IBM. 🔗 AI shifts mainframe modernization strategy
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Reorganizing the dev teams at Visa to take advantage of AI
When you speed up the SDLC process, you should collapse silo’ed teams into one team to prevent human bottlenecks based on handoffs. Here’s that at Visa: As a result of the unlocks we can realize with this new tooling, we are re-forming our product development teams that used to be 10 or more into smaller…
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Using frontier models to find security problems in Spring Framework – a trickle turned into a tidal wave
“In March, we saw 55 reports coming from the community. In April, that went to 112. April is also when we finally got access to those frontier models and started doing internal scanning, and our internal scans gave us another 370 internal reports.” Michael Minella on the Spring Team. The historical baseline was about seven…
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more marketing context, more better AI for marketing
AI just makes good things gooder, and bad things badder: The real work starts before evaluating tools or issuing an RFP. Marketers need defined personas, clear messaging frameworks, content standards, governance processes, reusable content, and alignment on measuring success. AI performs only as well as the context it’s given. Organizations that establish the richest context,…
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How to make better enterprise AI ROI metrics and dashboards
Encode what you should next in AI ROI metrics, don’t leave the decision up to post-metrics vibes. Make the decision before making the metrics. Translate the decision into language that people use before packaging it up into quantifiable metrics. For example, ‘Should we scale this AI feature from 10% to 100%?’ or ‘Should we fund…
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AI moral panic
AI amplifies your current state, moral panic edition: Perhaps intuitively and certainly as framed by popular narratives, AICs aggravate precisely these existential nerves. They simulate social processes that sustain us as a species with all our intimate bonds. And yes, that such bonds could be reproduced, even superficially, by non-conscious systems feels deeply transgressive to…
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New spec maks MCP more enterprise-y, scalable, and otherwise performant
The biggest change in today’s update is an overhaul of how MCP processes request metadata. Previously, AI applications sent metadata via a relatively complex workflow called a handshake. The new MCP release removes the workflow, which has several benefits. One is that it makes it easier to scale MCP applications in response to traffic spikes.…
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AI won’t fix your broken culture, but you can fix your broken culture
AI amplifies what you have: good processes get faster, bad ones get worse. Getting real enterprise AI ROI means changing how you work – structure, focus, scope.
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Young people are cheaper and complain less
Yes: The company has cut roughly 30,000 corporate jobs since last October. But: Amazon, he noted, is hiring 11,000 interns and new grads this year. Resulting business value: And when you talk about entry-level jobs, number one, they’re your cheapest employees. They haven’t learned bad habits. You can teach them the culture, they’re willing to…
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AI is good at bullshit work, find ROI there
One company encouraged widespread vibe-coding from citizen developers but recoiled from the problems of the huge shadow IT that emerged – they are now looking to build a platform to help control this work without stifling the useful tools that were produced. Part of the problem here may be simple experience with LLMs. Many in…
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private AI in banking
Developing the secure data layers needed for large language model (LLM) use cases. Because its AI compute and data storage operate within the same strict perimeter, the credit union can confidently leverage highly sensitive member data. This makes Retrieval-Augmented Generation (RAG) easy to implement while keeping member information completely isolated from public APIs. 🔗 USSFCU…
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short feedback loops always works
Using short feedback loops to experiment and direct software development is always a good idea, especially with AI: What survives from Agile is the feedback logic. Short cycles still matter. Thin vertical slices still matter. Customer or stakeholder review still matters. Working software is still better than progress theater because agents can generate a lot…
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Employee avoiding AI, doing manual work instead
A new global survey of 3,750 executives and employees across 14 countries, conducted by SAP subsidiary WalkMe for its fifth annual State of Digital Adoption report, finds that more 54% of workers bypassed their company’s AI tools in the past 30 days and completed the work manually instead. Another 33% haven’t used AI at all.…
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AI won’t fix your broken culture
Expecting AI to improve dysfunctional parts of your business probably won’t go well: The strongest candidates are workflows that repeat at meaningful scale, have clear ownership, and can be measured for quality, risk, and business value. 🔗 How to manage AI investments in the agentic era
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Enterprise Java apps are much more than just code, AI benchmarks don’t measure the Java SDLC enough
There’s countless dependencies in other frameworks and libraries, plus the build pipeline and even production platform are part of the app. Enterprise Java applications frequently span hundreds or thousands of modules connected through Maven or Gradle builds, Spring dependency injection, Jakarta EE services, annotation processors, generated code, legacy XML configuration, container orchestration, proprietary build plugins,…
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find your customer
Compensation theater: Everyone cares about the compensation (base salary, bonus, and stock). That’s the data they care about, but where did this pile of compensation come from? Who decided how big it is? And how is it allocated? It is a long, complicated, and large process that began over a year ago. Every meeting I…




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