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Adronite launches Codistry, an AI coding tool that uses a context engine to map codebases, reduce token usage and generate more production-ready code.
AI Accelerates Development, But Governance Determines Whether It Reaches Production Over the last two or three years, I’ve watched AI-assisted development move through distinct pha...
AI stands for artificial intelligence, yet I prefer the term Dr. Venkat Subramaniam used in one of his talks: Accelerated Inference. To my mind, it is far more accurate, so I have...
Let's be honest about what happens when you give an entire engineering team AI coding assistants. You look at the sprint board, and tickets are moving to "In Review" faster than ev...
AI coding assistants write code fast. Whether that code can be trusted is a separate question, and it’s becoming a more urgent one. Surveys this year put average developer trust in...
Ground Truth for AI-Written Code Session capture, per-line attribution, and selection-bias-free agent benchmarks, on top of the Git host you already use. A technical overview for...
AI-powered patching and coding is putting us on a track towards a deepening dependency on future frontier models. The modern tools we use today to fix yesterday’s coding problems a...
A practical guide to getting better code, not just more code The post How to Work with AI Coding Agents appeared first on Towards Data Science.
Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) often struggle to turn concepts into working code. This post walks through two reference implementations on...
AI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR
Muse Code can write code and verify results, and has been trained to handle long, complex coding projects while also running multiple sub-agents simultaneously to speed up diffi...
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Key Findings According to G2's analysis of 3,000+ verified AI Code Generation reviews, 992% of reviewers rated their tool positively, with an average category rating of 4.6 o...
AI agents now generate infrastructure code at scale, but security pass rates are stuck at 55%. Here’s how teams can close the governance gap.
Mladen Lazic, CTO of Scopic, joins Mike Vizard to explain why AI-generated code is outpacing review capacity — and why independent QA agents that never see the source code are beco...
At Kilo Code, engineers are reading or writing code themselves only about 1% of the time now, according to co-founder Emilie Schario — the rest is agents. That shift is forcing new...
Some AI adoption stories are embarrassing, and the embarrassing part is that nobody in the room seems to notice. A development team adds AI coding assistants. Velocity metrics look...
Originally published at nlocoding.com Only 18% of developers trust their AI debugging assistant to suggest production-ready fixes without review. The other 82%? They’re still g...
The Problem With Cloud AI Every token costs money. Every API call adds up. And your data goes to their servers. The Local Alternative brew install ollama ollama pu...
The cost curve for generating code with AI has moved in one direction, and it has moved fast. What used to require a senior engineer’s full attention for an afternoon can now be sc...
Enterprises are running into the same wall with AI coding agents: the tools that write code fastest are usually the ones IT trusts least with sensitive codebases. Legacy modernizat...
Learn how AI guardrails, context engineering, custom agents, and reusable workflows help teams create predictable, high-quality coding agent output.
AI coding agents are already doing real enterprise software development work. They write code, read repositories, run tests, open pull requests, and help engineering teams move fas...
Why does AI-generated component code still need manual fixes? Explore how Syncfusion Agent Skills and MCP Server improve accuracy and speed up development.
AI can write a pull request in seconds. But when that pull request touches a piece of code written three years ago, there is a much harder question: Why does this code exist?...
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