The new bottleneck for developers.
We've moved from co-pilots to managing teams of AI agents. But the chaos is killing productivity. Here's the orchestration layer every dev will soon need.
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⚡ The Signal
The single AI co-pilot is officially a legacy concept. The real shift is to teams of autonomous agents, and the big players are now validating the market. The clearest signal is Apple's recent move to integrate multiple AI agents from Anthropic and OpenAI directly into Xcode. This isn't just about better code completion; it's about orchestrating a workforce of specialized AI agents within a developer's core workflow. The era of the AI manager is here.
🚧 The Problem
Managing a team of AI agents is chaos. Each one operates in a silo, with no shared understanding of the project's goals, existing code, or security constraints. Developers waste hours repeating context, juggling API keys, and manually piecing together outputs from different models. Giving multiple third-party, black-box agents access to private repositories and credentials is a massive, unaddressed security risk. This lack of a unified control plane means that shared memory is the missing layer needed to turn a collection of powerful tools into a productive team.
🚀 The Solution
Enter Kontext, an orchestration and security layer for developers managing teams of autonomous AI coding agents. It's not another agent; it's the foreman. Kontext provides a single dashboard to define project context, securely store credentials, and assign tasks across any number of AI agents. You brief the project once in Kontext—setting the repo, the rules, and the keys—and it ensures every agent, from Claude to Codex, has precisely the information it needs, when it needs it. No more context switching, just streamlined results.
