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honeybadger

Comprehensive guide to working with Python markdown

Aug 3, 2026 By Ravgeet Dhillon In Honeybadger
If you use the Internet, you have surely come across the term Markdown. Markdown is a lightweight markup language that makes it very easy to write formatted content. It was created by John Gruber and Aaron Swartz in 2004. It uses very easy-to-remember syntax and is therefore used by many bloggers and content writers around the world. Even this blog that you are reading is written and formatted using Markdown.
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nodesource

Why Installing an npm Package Can Execute Code on Your Machine (And Why npm v12 Finally Changes That)

Aug 2, 2026 By Estefany Aguilar In NodeSource
For years, the Node.js community has typed the same command billions of times: It's probably the most frequently executed command in the JavaScript ecosystem. We use it to start new projects, add dependencies, update existing ones, or simply bootstrap a development environment. It has become such a routine part of our workflow that most of us no longer stop to think about what actually happens during those few seconds while npm fills node_modules.
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How to Cut Your AI Agent Costs in Half

Jul 31, 2026 By Perforce In Perforce
Every AI agent starts every session with zero memory. No context, no history, just a blank slate that has to rediscover its environment from scratch, and that costs you real time and money. In this episode of Inside the Stack, Jase Lindgren, Principal P4 User Advocate at Perforce, shows a simple fix: instead of re-prompting your agent every time, capture what it learns in a markdown file, then go one step further and turn that into a custom script. The result, tested across 15 runs: lower cost, faster execution, and better accuracy at catching real issues.
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How Enterprise Teams Are Automating AI Compliance at Scale | Perforce 2026

Jul 30, 2026 By Perforce In Perforce
AI has changed how fast software ships. It hasn't changed how compliance gets done, until now. In this session, Perforce CTOs Anjali Arora and Rod Cope are joined by Nico Kruger, Senior Director of Global Sales Engineering, to break down why traditional compliance can't keep pace with AI-native development, and what replaces it. Topics covered: This is the fourth and final session in the "When AI Starts Shipping Code" webinar series, exploring how AI is reshaping software delivery from development through governance, testing, and now compliance.
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nodesource

Node.js Versions Explained: Why Running an Outdated Release Is a Business Risk

Jul 29, 2026 By Estefany Aguilar In NodeSource
A Node.js application can continue starting, accepting traffic, and passing health checks long after the runtime underneath it has become unsupported. That creates a dangerous assumption: In reality, “running” and “supported” are two very different states. A Node.js release is more than a JavaScript executable.
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Serious About Process Ep. 1 | Modernizing Insurance Pricing with Catrin Townsend

Jul 29, 2026 By Appian In Appian
Episode 1 of the Serious About Process podcast is live! Insurance pricing has evolved from slow, static updates to fast, dynamic decision-making. But have your systems caught up? In our first episode, host Gijsbert Cox is joined by Catrin Townsend, Director of Education at Price Writers, to discuss: Why pricing is an interconnected system, not just a sequence How legacy systems stifle innovation and frustrate teams The real promise of AI as a workflow partner.
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bugfender

AI Debugging: How to Use AI to Find and Fix Bugs Faster

Jul 29, 2026 By Aleix Ventayol In Bugfender
At its simplest, AI debugging automates repetitive coding tasks like searching logs, reading stack traces and comparing sessions. But good AI debugging is a much more challenging concept that relies on focused context, runtime evidence and structured investigation paths. In this post we’ll show you how to debug with AI, not just productively but also responsibly. Let’s get into it.
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antino

How can AI agents reduce operational costs throughout the organization?

Jul 28, 2026 By Radhakanth Kodukula In Antino
‍ Every CFO has looked at the headcount report and asked the same question. Why does it take twelve people and four tools to do something that feels, on paper, like it should take three? The honest answer is usually not laziness or bloat. It is a coordination tax. Someone has to read an email, decide what it means, open three other systems to check context, type a response, update a tracker, and notify two other teams. None of that is hard work.
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antino

The Next Enterprise Cloud Is Built for Small Software

Jul 28, 2026 By Radhakanth Kodukula In Antino
The most useful piece of software we came across last quarter never left someone's laptop. An operations lead at one of our enterprise clients built herself an inventory reconciliation dashboard. No ticket, no sprint, no engineer involved. She described the workflow to an AI agent one evening and had something working by the next morning. A problem her team had been raising for over a year, solved by someone who has never written production code in her life.
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appian

Building Enterprise-Grade AI Agents: From Prototype to Production

Jul 28, 2026 By Wei Smith In Appian
Everyone can build an AI agent today. The hard part isn't getting an agent to answer a question or complete a demo. It's deploying one that employees trust, security teams approve, and operations teams can manage at scale. That's where many AI projects stall. As organizations move beyond experimentation, the conversation shifts from prompt engineering to production readiness. Can the agent safely access business data? Can you evaluate changes before deployment? Can you understand why it made a decision?
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