#ai coding agents

Vibe coding gets you to a prototype. Spec-driven development gets you to production. As AI coding agents grow more powerful, the engineering community has quietly split into two camps: developers who prompt iteratively and hope for the best, and developers who write structured specifications first and let agents execute against them. The second group is shipping faster, with fewer regressions, and with code that survives review. This guide covers the 9 AI tools driving that shift in 2026 — from AWS Kiro's EARS-structured spec IDE to GitHub Spec Kit's 93K-star open-source workflow, to lean execution frameworks like GSD that have crossed 61K stars in under five months. The post 9 Best AI Tools for Spec-Driven Development in 2026: Kiro, BMAD, GSD, and More Compare appeared first on MarkTechPost.

If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe what you want, the agent generates a block of code that looks correct, compiles, and then subtly misses the actual intent. This “vibe-coding” approach can work for quick prototypes […] The post Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents appeared first on MarkTechPost.

Everyone is adopting AI coding tools. Engineers are writing code faster than ever. But are organizations actually delivering value faster? That’s not obvious. I wrote Enabling Microservice Success with a big focus on engineering enablement, guardrails, automated testing, active ownership, and light touch governance. I didn’t know AI coding agents were coming, but it turns […]

Attackers too are looking to cash in on the AI coding craze, adapting their supply-chain techniques to target coding agents themselves. Many AI agents autonomously scan package registries such as NPM and PyPI for components to integrate into their coding projects, and attackers are beginning to take advantage of this. Bait packages with persuasive descriptions and legitimate functionality have cropped up on such registries, while packages that target names that AI coding agents are likely to hallucinate as dependencies are another attack vector on the horizon. Researchers from security firm ReversingLabs have been tracking one such supply-chain attack that uses “LLM Optimization (LLMO) abuse and knowledge injection” to make packages more likely to be discovered and chosen by AI agents. Dubbed PromptMink, the attack was attributed to Famous Chollima, one of North Korea’s APT groups tasked with generating funds for the regime by targeting developers and users from the cryptocurrency and