Perete Harrison

Are you tired of AI coding agents churning out generic, flat, and uninspired frontend layouts? In this video, we dive into why standard LLM outputs often result in "AI slop" and how to fix it with the AXON framework. We explore AXON-COMPOSE, a specialized frontend design skill that forces AI agents to move beyond static, repetitive code. By enforcing composition-first principles, premium typography, and intentional motion, AXON-COMPOSE delivers high-fidelity UIs that are ready for production. In this video, we demonstrate: The common pitfalls of "Baseline" AI coding output. How AXON’s spec-driven development protocol changes the game. A side-by-side comparison of standard LLM results versus the high-fidelity outputs of AXON-COMPOSE. Stop the AI slop and start shipping predictable, visually stunning software with a protocol built for high-performance teams. Check out the AXON repository here: https://github.com/atopwebtechnologies/axon https://github.com/atopwebtechn...

  To architect, design, build, test, and deploy predictable applications and services, planning is inevitable. Given the pitfalls of coding agents and their non-deterministic nuances, we are excited to announce AXON , an open-source protocol and plugin from Atop Web Technologies for AI coding agents like Codex, Antigravity, and Claude Code. AXON stands for Atop eXecution Orchestration Network . Its main purpose is to solve a huge problem in AI-assisted development: agent drift . When building with AI, agents are very fast, but they often lack durable context between sessions. They forget product intent, design systems, tech stack decisions, workflows, testing expectations, and why certain decisions were made in the first place. That is where unpredictable results start. AXON introduces a protocol to fix this: Context first, specification second, implementation third, verification always. What AXON Does With AXON, the agent does not just jump into code. It initializes the project c...

  Believe it or not, traditional software development is almost dead. Software development is heading toward AI-native product engineering: smaller teams, faster prototypes, more automation, agent-assisted delivery, heavier emphasis on quality control, and a stronger need for cloud, DevOps, and security discipline. The future stack is no longer just apps plus cloud. It is apps, cloud, automation, observability, security, and AI agents working together. AI is now embedded into development, infrastructure, security, and operations. One thing we have observed at Atop Web Technologies is that AI agents are now part of the team. Chatbots are almost dead. Companies are no longer just asking for chatbots; they are actively building and deploying agents that can support real workflows, engineering teams, operations, and product delivery. Personally, I have moved from coder to AI orchestrator. I now spend more time coordinating AI agents, reviewing output, setting architecture, deciding wha...

There comes a time when a person needs a proper home on the internet. Not just a social media account. Not just a company profile. Not just posts scattered across different platforms. A real place. A place where thoughts, work, ideas, lessons, experience, projects, writings, and personal reflections can live together in one public space. That is why I created this website. My name is Perete Harrison . I am a DevOps Software Engineer, Software Architect, AI Engineer, founder, builder, and problem solver . I am the founder of Atop Web Technologies , Perete Web Technologies , and other ventures I have co-founded. Over the years, I have developed a deep interest in, and practical experience across, the full lifecycle of web services and applications. This website is my personal space. It is where I will write about software engineering, DevOps, cloud infrastructure, AI, system architecture, automation, backend systems, frontend systems, performance, deployment, technical problem-solving,...