Project HydraFusion: Frontier quality via multi-model orchestration
In controlled offline evaluations, HydraFusion’s selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimat…
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How we make AI coding more cost efficient without sacrificing task quality
Why shorter outputs can cost more, and how GitHub Copilot reduces wasted work across the complete coding task. The post How we make AI coding more c…
How to evaluate LLMs before production
These are the lessons we learned evaluating LLMs for real-world secret scanning. The post How to evaluate LLMs before production appeared first on T…
With new open models, Meta pitches another reboot of its struggling AI strategy
Meta has been trailing competitors. Zuckerberg thinks he's found a way forward.
Google says it fixed more Chrome bugs in June than over the past two years, thanks to AI
As experts have warned for the last two years, some companies — like Microsoft and now Google — are finding and patching an exponential number of bu…
We now have a better understanding how OpenAI hacked into Hugging Face
10 days passed from OpenAI models exploiting JFrog Artifactory 0-day to release of a patch.
Better tools made Copilot code review worse. Here’s how we actually improved it.
How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request e…
Automating cross-repo documentation with GitHub Agentic Workflows
Explore how the Aspire team turns merged product changes into SME-reviewed docs pull requests, closing the gap between release and documentation. Th…
Critical Copilot vulnerability allowed hackers to seal 2FA code from users
SearchLeak exploit shows why the industry's approach to LLM security fails over and over.
Accelerating researchers and developers building multilingual AI with a new open dataset
A new repository-level dataset, published on GitHub under CC0-1.0, helps researchers and developers discover multilingual developer content across R…
Making secret scanning more trustworthy: Reducing false positives at scale
Alerts are more trustworthy and actionable when noise is reduced. See how we improved the verification step with context-aware LLM reasoning. The po…
LLMs believe false statements even after explicit warnings that they're false
Fine-tuning tests show "bias ... toward confidently representing the claims as true."
Improving token efficiency in GitHub Agentic Workflows
Agentic workflows that run on every pull request can quietly accumulate large API bills. Here's how we instrumented our own production workflows, fo…
Validating agentic behavior when “correct” isn’t deterministic
How to build the “Trust Layer” for Github Copilot Coding Agents without brittle scripts or black-box judgements by using dominatory analysis. The po…