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The Next Phase of Enterprise AI: Inside the CodeBots Roadmap
Enterprise AI is entering a new phase. The early wave focused on access to powerful models and rapid experimentation across teams. Now the challenge is operationalising AI. Organisations need structured ways to build reliable systems that are governed, repeatable, and maintainable at scale. In this post, we outline the three phases of enterprise AI and share what is coming next in the CodeBots roadmap, including Chat Studio, Knowledge Base, Metamodel Visuals, and DataIQ.
Meet BotBot from CodeBots
Starting a new bot should not mean inventing structure or accumulating technical debt on day one. BotBot scaffolds a best-practice repository, evolves it as standards improve, and makes your bots agent-ready so teams can build with confidence from the first commit.
Introducing the CodeBots V2 Developer API: Built for Enterprise-Grade Integrations
A contract-first API we're genuinely proud of: consistent patterns across bots, models, pipelines, repositories, and Marketplace, with version-aware workflows, exports, and validation designed for enterprise-grade integrations.
Meet HelloWorldBot from CodeBots
HelloWorldBot provides a hands-on walkthrough of how CodeBots can turn structured thinking into real outputs. Install it from the Marketplace, follow a small example, and watch the platform capture information, automate steps, and produce versioned artefacts you can keep. It’s the simplest way to see the engine running.
The Bot Marketplace is Here
The Marketplace has landed in CodeBots Platform 6.0.0, making it easier to discover, install, and reuse bots across teams. It’s a big step toward turning scattered AI experiments into repeatable, governed outcomes.
The Vibe Coding Cliff
The vibe coding cliff is the moment the magic stops: when steering by intent and momentum no longer holds a system together and the LLM cannot keep the rising complexity in the air. It is the point where the vibes run out and real engineering has to step back in.
What is Vibe Coding
Vibe coding is the moment software development stops feeling like manual labour and starts feeling like momentum, steering with intent while the LLM handles the grind, keeping developers in flow rather than lost in files.
The CodeBots Diagram Engine
The CodeBots Diagramming Engine powers automated, standardised system modelling, reducing technical debt. Developed by Scott Lanham, it supports UI, logic, and database models by defining clear relationships between shapes and connections. Ongoing improvements, including enhanced visuals and markdown integration, ensure scalable and maintainable software design.
Platform Engineering and 27001
We recently achieved our 27001 certification! For anyone that has been on this journey, you will know how difficult a task this is. In this article, we discuss the road we took and how applying platform engineering saved the day.
What is Platform Engineering?
Platform engineering encompasses the practice of creating toolchains that empower organisations to automate and scale essential resources. In this article, we examine some of different definitions of platform engineering and answer some common questions.
What are model-to-model (M2M) transformations?
This article is the third piece in the ['What is Series'](/app-development/introducing-the-what-is-series) by CodeBots. To further understand what model-to-model (M2M) transformations are and how they work, Jordi Cabot takes us on a transformative journey on M2M and all things models.
What is a code generator?
Code generators are ubiquitous in software engineering and when they are understood, they can lead to all sorts of benefits. From scaffolding generation like in Ruby on Rails, to REST API generation like Swagger Codegen, there are a lot of useful code generation tools available.