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Supercharge Developer Productivity with the New Harness Code Experience

Smarter PR Reviews: Inline comments, keyboard shortcuts, and faster diffs reduce context switching. Optimized for Scale: Instant file tree and change listing performance even in large monorepos. Seamless Navigation: Effortlessly move between branches, commits, and repos without losing context. Unified Design System: A consistent, intuitive UI across the entire Harness platform. At Harness, we know developer velocity depends on everyday workflow.
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A Developer's Guide to Improving AI Code Reliability

You've probably been there: your AI coding assistant just generated what looks like a perfect solution to your problem. Decent code quality, reasonable structure, and even some comments. You run it, and... it works. So you ship it. Three weeks later, your production logs are full of 500 errors from edge cases the AI never considered, or worse, you discover the code has been making unvalidated database calls that could have been prevented with basic input sanitization.

Real Estate App Development for Ops & Product Teams: From MVP to Scale

In the competitive world of real estate technology, developing an app that can scale from a Minimum Viable Product (MVP) to a fully-fledged solution is crucial. For operations and product teams, this journey involves strategic planning and execution to ensure the app meets evolving market demands and user expectations.

NHibernate vs ADO.NET: Which Is Better for .NET Development?

NHibernate vs ADO.NET is the classic clash in.NET development: raw SQL muscle on one side, high-level abstraction on the other. One promises speed and precision, the other productivity and cleaner code. For most.NET teams, the real challenge here is determining which approach best suits their project’s scale, timeline, and goals. That choice directly influences database efficiency, developer productivity, and long-term stability.

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

This Developer Built an App That Doesn't Spy on You

Rizel Scarlet (Staff Developer Advocate at Block) tackled a problem every developer should care about: apps that spy on users before they even know they need the service. Her solution? Build a privacy-first pregnancy app using AI agents and decentralized web nodes. This isn't just about pregnancy apps - it's about the future of user data ownership.

{unscripted} IDP Knowledge Agent

We're making Internal Developer Platforms (IDPs) more accessible with a natural language assistant. Developers can ask questions like, "What are the failing checks for my service's scorecard?" or "Who is the owner of a service?" to find metadata instantly. The agent also bridges the gap to action by suggesting and executing self-service workflows, like creating a new repo or onboarding a new engineer. It can even assist in generating new workflows, turning complex processes into simple conversational tasks.

Streamline your code reviews with automated acceptance criteria checks | Rovo Dev | Atlassian

In this video, we explore how the Code Reviewer feature can enhance your pull request workflow by automatically analyzing your code against acceptance criteria from linked work items. Watch as we demonstrate how Code Reviewer scans your pull request and the associated ticket—checking the summary, description, and custom fields to ensure all requirements are addressed.

Make.com vs Zapier: Which Workflow Automation Tool Fits Your Needs

In today's fast-paced digital world, workflow automation tools are a must for every organization. They play a crucial role in streamlining processes and improving productivity for billions of people across the globe. The best way to automate various processes is to have separate apps for them that integrate unique, tailored solutions them. For example, translation post-editing requires more than a grammar checker. It also necessitates analytical tools for readability, finding possible false friends of a translator, and improving translation style.