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Major coding update doubles qualified context to ~256K tokens, connecting more code, tests, requirements and diagnostics while preserving everyday quality.
SAN FRANCISCO - Californer -- Pervaziv AI today introduced Cortex Code 2.0, extending the coding intelligence in Cortex to handle larger, more connected software engineering tasks with substantially more relevant code, requirements, tests, configuration and diagnostic context kept in view throughout the work.
A software change rarely lives in one file. A requirement may depend on an interface, behave differently under configuration, affect several callers and ultimately be judged by tests written years earlier. The edit may be small. Understanding the change is not.
Cortex Code 2.0 expands its qualified context range from approximately 128K to approximately 256K tokens, giving Cortex more room to keep source code, tests, requirements, configuration and diagnostic evidence together during complex engineering work.
In controlled release qualification, Cortex Code 2.0 achieved a 90.3% aggregate pass rate across its long context suite, met criteria at every evaluated range, retained a 100% pass rate on matched standard tasks with zero regression, and passed the live Cortex product path.
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"The hard part of software engineering is rarely generating one more file. It is understanding how requirements, interfaces, implementations, configuration and tests fit together before changing any of them," said Anoop Jaishankar, Founder and CEO of Pervaziv AI. "Cortex Code 2.0 keeps more of that connected problem in view. Complex work gets more room when it needs it, while everyday coding stays focused and responsive."
More of the Problem, in One View
The release builds on the Cortex AI Model Ensemble, where specialized models handle distinct responsibilities across coding, planning, analysis, verification, routing, security and privacy. Recent additions expanded the Ensemble with dedicated decision intelligence and Cortex Confidential for semantic privacy and egress risk inside protected workflows.
Cortex Code 2.0 takes a different step. It does not add another specialist. It makes the existing coding specialist more capable within its responsibility.
The expanded range is designed to help with multi component features, difficult defects, migrations, refactors, behavior investigations and change reviews where understanding depends on relationships across files and systems.
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Cortex also applies capacity according to the work. Focused coding requests can remain within smaller operating ranges, while larger connected tasks can receive additional context when warranted. This helps preserve responsiveness and infrastructure efficiency without forcing developers to manage context settings before they begin.
More context is not a substitute for relevant context, review or testing. The qualification results describe controlled release evaluations rather than a universal success rate.
Cortex Code 2.0 advances Pervaziv AI's broader vision for Cortex as an Enterprise AI Control Layer where specialized intelligence, governed workflows, protected execution and independent verification remain connected to engineering work as it grows.
Learn more at https://pervaziv.com.
A software change rarely lives in one file. A requirement may depend on an interface, behave differently under configuration, affect several callers and ultimately be judged by tests written years earlier. The edit may be small. Understanding the change is not.
Cortex Code 2.0 expands its qualified context range from approximately 128K to approximately 256K tokens, giving Cortex more room to keep source code, tests, requirements, configuration and diagnostic evidence together during complex engineering work.
In controlled release qualification, Cortex Code 2.0 achieved a 90.3% aggregate pass rate across its long context suite, met criteria at every evaluated range, retained a 100% pass rate on matched standard tasks with zero regression, and passed the live Cortex product path.
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"The hard part of software engineering is rarely generating one more file. It is understanding how requirements, interfaces, implementations, configuration and tests fit together before changing any of them," said Anoop Jaishankar, Founder and CEO of Pervaziv AI. "Cortex Code 2.0 keeps more of that connected problem in view. Complex work gets more room when it needs it, while everyday coding stays focused and responsive."
More of the Problem, in One View
The release builds on the Cortex AI Model Ensemble, where specialized models handle distinct responsibilities across coding, planning, analysis, verification, routing, security and privacy. Recent additions expanded the Ensemble with dedicated decision intelligence and Cortex Confidential for semantic privacy and egress risk inside protected workflows.
Cortex Code 2.0 takes a different step. It does not add another specialist. It makes the existing coding specialist more capable within its responsibility.
The expanded range is designed to help with multi component features, difficult defects, migrations, refactors, behavior investigations and change reviews where understanding depends on relationships across files and systems.
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Cortex also applies capacity according to the work. Focused coding requests can remain within smaller operating ranges, while larger connected tasks can receive additional context when warranted. This helps preserve responsiveness and infrastructure efficiency without forcing developers to manage context settings before they begin.
More context is not a substitute for relevant context, review or testing. The qualification results describe controlled release evaluations rather than a universal success rate.
Cortex Code 2.0 advances Pervaziv AI's broader vision for Cortex as an Enterprise AI Control Layer where specialized intelligence, governed workflows, protected execution and independent verification remain connected to engineering work as it grows.
Learn more at https://pervaziv.com.
Source: Pervaziv AI
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