The question we keep hearing from clients: "We know we need AI, but we don't know where to start." This is where we start, and over the past few months, we've built a delivery system to make it possible. Atlas, our delivery system, brings AI-engineering tools into your development process – with governance and speed at every step. We're now introducing it to our strategic accounts. Along the way, we launched more new solutions behind our delivery: → MDCMS: CMS built for devs, marketing teams, and AI agents → Migration Agent: any site → Next.js, accelerated → Pre-Sales Agent: turn RFPs & briefs into estimates, clarification loops, and proposal drafts → AI Workflow: Linear ticket → tested PR All are running in our production & open-source. Let's assess your operations together and define which AI agents & workflows are worth building. Explore our new solutions: blazity.com/

Last week, we ran our first internal AI hackathon and built a few agents. Each team chose a task they were tired of doing and built an agent to handle it. One team created an agent to coordinate our open-source work across Slack, GitHub, and Jira, keeping track of each project's status. Another team built a CV screener that reviews portfolios and GitHub profiles before sending the decision to a person. A third team made a tool that turns meeting transcripts and Slack threads into action points in Notion, with an approval step. Two things came out of the day. We ended up with three MVPs that are ready for daily use. We also got real feedback on Atlas, our AI Toolkit for governed AI engineering, and have already used it to make improvements. This was the type of day engineers value: solving real problems through focused work, resulting in three practical tools and an improved product. Can't wait to run this event again!

You can now install Atlas with a single command. The whole standard, dropped into your project in one step. Atlas is the standard that puts governed AI engineering – Platform, Agents, Workflow – inside your development lifecycle. Atlas Core is the layer you install: repo memory, rules, skills, templates, and review artifacts. These features use the same gates and runbook discipline, no matter which pillar you start with. Learn more at: blazity.com/atlas

We're looking for contributors to @mdcms_ai! MDCMS is our open-source, AI-native CMS. MIT licensed, built on PostgreSQL and Markdown, so the content stays yours. The project is still in its early stages, and the roadmap is open. Contributors now help shape the core, not with small fixes. If you’ve ever wanted to help build a CMS from the ground up, now is your chance! Check out the repo: github.com/mdcms-ai/mdcms

A marketing brief used to take an afternoon of digging through Slack, Jira, and old docs. Our Marketing Agent does it in minutes. This AI agent connects to your organizational knowledge – Slack, Teams, Jira, docs, email – and runs marketing workflows on top of it. Organize knowledge, find relevant business information, and manage marketing workflows across your systems and communication tools. How it works: 1) Sync company knowledge sources to the contextual retrieval system. 2) Configure retrieval logic, marketing workflows, and approval steps for your team. 3) Start orchestrating contextual workflows and automate repetitive organizational processes We built it for our marketing team and decided to ship it open. Clone it and skip building your own context layer from scratch. → blazity.com/solutions/market…

Migrating a 200-page site to Next.js used to be a 3-month project. Our Migration Agent does the first 70% in a week. This AI agent maps your existing frontend architecture and runs a gradual migration to Next.js. Reusable migration logic, contextual analysis, and automated engineering workflows. How it works: 1) Connect your existing frontend to the migration workflow. 2) Define target architecture, migration standards, reusable implementation patterns, and requirements. 3) Start transforming frontend systems - orchestrate migration workflows & generate transformed components. It's open-source. Clone it and skip the first weeks of the work. → blazity.com/solutions/nextjs…

Agencies spend 8-12 hours on every RFP response. We built the Pre-Sales AI Agent to take that down to minutes. It is responsible for automating RFPs, generating estimates, and producing operational pre-sales outputs using the company's historical delivery data. How it works: 1) Connect AI agent to organizational knowledge. 2) Set up estimation rules, proposal formats, and clarification steps that fit your workflows. 3) Start generating operational outputs based on your company’s past knowledge. We use it for our daily sales tasks and want to give it to you. It's open source – if you want to automate your sales processes, fork it. → blazity.com/solutions/pre-sa…

Your team burns hours on repeatable work. Find out which AI agents can fix it. Most leaders know AI can help, they just don't know what to build. We can map your workflows in a 30-min call and tell you exactly which agents would 10x your productivity. Book free audit → blazity.com/services/agents

Many AI engineering projects fail during the scoping phase. Here’s why: → Leaders know AI can help, they just don't know what to build. Pick one workflow, not a category. → The boundaries of what the AI agent should do often change. If you can’t sketch it on a whiteboard, it’s probably not ready to build. → A clear success metric is often missing. "Reduce time spent on X by Y%" beats "make X faster". After three weeks, the team still isn’t sure what they’re building. By six weeks, half the work is off track, and no one can explain the reasons. That's why decisions must be made by humans, while agents only accelerate the thinking. Since we rebuilt our AI-native delivery system, we now begin every project with a Blueprint document. This includes a system diagram, gate specifications, an evaluation plan, and a risk register. By the end of this process, you’ll know exactly what can be built and how much it will cost. Got an AI workflow in mind, but unsure if it's buildable? We will figure it out for you in one call: blazity.com/atlas

"AI writes the code" works until you ask who owns the system it built. Two failure modes dominate AI engineering. Neither ships systems your team can own in a year. 1) Ship faster with AI – code lands unreviewable. Comprehension drops. Debt compounds. After six months, nobody trusts the codebase. 2) Governance theater – every PR sits in a queue. Reviewers drown. The velocity AI promised dies at the gate. So we built Atlas, an open-source AI engineering toolkit for delivering production software as a governed system. Here’s what our modeling shows: 50% more features shipped each day 3x faster validation cycle 30% less time on manual maintenance Atlas is built on three pillars: Platform, Agents, and Workflow, all following one methodology. You can run it on Vercel AI Cloud, Anthropic Managed Agents, or your own cloud. Check out the system → blazity.com/atlas

Meet @mdcms_ai, our open-source #CMS for content operation, built because we got tired of watching teams pick between two bad options. 1) You either pick a SaaS CMS and end up locked in, paying more every year, with content trapped behind a proprietary API. 2) You go file-based with Markdown/MDX, which works beautifully for developers and AI agents, but pushes marketers into terminals and pull requests. Neither is good enough anymore, especially now that AI agents are part of how content gets made. So we built MDCMS, where your content stays as Markdown files you fully own, with a database on top that handles the CMS parts: roles, version history, environments, localization, preview, and rollback. 1 content layer, 3 ways to work with it: 1) Marketers edit in a visual Studio 2) Developers work locally with a CLI 3) AI agents process content through the same API, with the same rules What you can do with it: → Run the whole content lifecycle in one place – prompt, optimize, publish → Import your existing projects in minutes → Pull content locally, push atomically, let AI agents do the bulk work → And many more... Take a look: mdcms.io

Cookie consent banners add 400-700KB of blocking JavaScript to your site. That's not compliance. That's a performance liability. Christopher Burns (author of c15t) broke down how to make consent a first-class part of your stack at our London Meetup. Watch →youtu.be/Lz5kmR6egRg