# New Open-Source Context Specs Released

DevFeed: [New Open-Source Context Specs Released](<https://devfeed.tech/articles/new-open-source-context-specs-released-22576.md>)

Original publisher: [Read original article](<https://medium.com/capital-one-tech/new-open-source-context-specs-released-1f65bfa9db9f?source=rss----3db3a67cb648---4>)

Author: Capital One Tech

Published: 2026-06-24T16:58:13Z

Content type: article

Language: en

Sources: [Capital One Tech](<https://devfeed.tech/sources/capital-one-tech.md>)

Topics: [Spec Driven Development](<https://devfeed.tech/topics/spec-driven-development.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [context window](<https://devfeed.tech/topics/context-window.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Development](<https://devfeed.tech/topics/development.md>)

Tags: [ai-assisted-coding](<https://devfeed.tech/tags/ai-assisted-coding.md>), [context-engineering](<https://devfeed.tech/tags/context-engineering.md>), [context-window](<https://devfeed.tech/tags/context-window.md>), [development](<https://devfeed.tech/tags/development.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>), [spec-driven-development](<https://devfeed.tech/tags/spec-driven-development.md>)

## AI overview

Capital One has open-sourced Context Specs, a spec-driven development framework that uses context engineering for AI-assisted coding. It captures domain knowledge in reusable experts and uses automated feedback signals to verify an agent's work, addressing context-window constraints such as context decay, pollution, and compaction loss.

## Source excerpt

Capital One open-sources Context Specs, an SDD framework using context engineering to bridge business ideas and code. Every developer has had the same experience: The AI writes code confidently, only for you to realize that it has missed the mark. The fix isn't a better model, it's better context. Right context, right time. That's the whole game. To address this challenge, Capital One is open-sourcing Context Specs, a framework for spec-driven development (SDD) that treats context engineering-the practice of building systems that dynamically decide what your agent sees and when it sees it-as the primary lever for AI-assisted coding. The framework achieves this by capturing a team's domain-specific knowledge into reusable "experts" that you create once and compose across the entire workflow, and then using automated feedback "signals" to verify the agent's work. The real problem: Your agent's context window is finite Every AI coding agent operates within a context window, a fixed amount of information it can see at any given moment. This constraint creates three mechanical failure modes that plague every developer using AI tools today: Context decay: Older messages in a conversation get ignored, summarized or dropped entirely. That careful instruction you gave 20 messages ago? Gone. Context pollution: When an agent searches your codebase autonomously, it pulls in irrelevant files. Every irrelevant token displaces a useful one. Compaction loss: When the window fills up, the system summarizes history to make room. You don't control what gets dropped. These aren't edge cases; they're the default experience. Most frameworks for AI-assisted development weren't designed with these constraints in mind. Some frameworks generate thousands of lines of specification markdown before a single line of code is written, burning millions of tokens on ceremony. Other frameworks are so lightweight they leave everything to interpretation, forcing the agent to search blindly and pollute