A Harness survey reveals that while 89% of organizations see AI boosting developer productivity, a third of the workday is consumed by untracked AI tasks like fixing bugs, code reviews, and managing cognitive load
Open Source Contribution is About More Than Just Altruism
Passive consumption of open source software creates hidden costs, including $670,000 annually in internal workarounds; however, organizations that shift to upstream contribution report up to 5x returns through improved talent retention and faster development cycles.
GitHub’s Spec Kit Puts the Spec Back in Software Development
GitHub’s open-source Spec Kit aims to eliminate “vibe coding” by prioritizing durable specifications over vague prompts, providing a structured, agent-agnostic workflow for Copilot, Claude, and Gemini.
The Velocity Trap: Why Shipping Faster Is Making Systems Worse
There is a particular flavour of engineering dysfunction that looks, from the outside, like peak performance. Deployments are frequent. Sprint velocity is high. The feature backlog is shrinking. Leadership is pleased. And underneath all of it, the system is quietly rotting. Technical debt compounds with every rushed deployment. Observability gaps widen because nobody has time […]
When Code Becomes Cheap, Engineering Becomes Governance
AI agents can now generate in minutes what once took teams weeks, but the real shift is not faster coding. It is the collapse of code scarcity. As software production becomes industrialized, the job of engineers is moving from writing lines to governing systems, managing risk and deciding what should exist in the first place.
Beyond Automation: How Generative AI in DevOps is Redefining Software Delivery
Generative AI (GenAI) is revolutionizing DevOps by automating manual tasks, enhancing productivity, and reducing errors. By integrating GenAI, teams can streamline workflows and democratize expert knowledge. However, managing risks such as data privacy and AI-generated errors remains critical.
Survey: Java Developers Wrestling With Massive Amounts of Technical Debt
A global survey of 2,039 Java developers published today finds 63% reporting that dead and unused code adversely affects their team’s productivity, with 22% describing the impact of that technical debt as being severe. Conducted by Dimensional Research on behalf of Azul, a provider of a distribution of OpenJDK, the survey also finds that more […]
Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering
Discover strategies for managing AI-generated technical debt and maintaining quality in software delivery as engineering teams accelerate their development processes.
Vibe Coding Can Create Unseen Vulnerabilities
Vibe coding uses AI to write software fast — but without developer oversight, it can introduce security flaws, technical debt and compliance risks.
Tabnine Adds Agents Capable of Automating Workflows to AI Coding Platform
Tabnine introduces Tabnine Agentic, a new generation of AI agents that automate multi-step DevOps workflows including refactoring, debugging, and documentation. Built on Tabnine’s Context Engine, these agents bring governance, cost control, and compliance to AI-powered code development.
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