# Learning Palantir Foundry 🚀 Bring complex logic that no-code can't reach into your data platform, along with full software-engineering quality control. That's what Code Repositories delivers. 📌 Title and Feature URL Title: Code Repositories (Python Transforms) URL: 📝 Overview Code Repositories is a web-based integrated development environment (IDE) for creating and collaborating on production-ready code within Foundry. It provides a friendly UI over the underlying Git repositories, so teams can work without command-line access. With platform-specific features, you can apply software development practices directly to data engineering. 🔧 How It Works Version control and collaboration are at its core. - Common Git tasks (branching, committing, release tagging) execute through the web UI - Pull requests drive code review, with "highly configurable" permissions that support quality assurance such as mandatory reviews - IntelliSense, linting, error checking, and contextual help dialogs are available across all repository types - Transforms repositories let you author data transformation logic in Python, Java, or SQL with preview and debugging - Functions repositories natively integrate the Ontology and run low-latency business logic in TypeScript or Python 🛠 Practical Usage - Use PySpark to implement billion-row entity resolution and complex business rules in code - Require PR reviews so a second reviewer and CI checks must pass before merge - Add unit tests to guard transform logic against regressions - In Functions repositories, leverage Ontology-data-type autocomplete to write logic safely - Bring machine learning workflows into the platform via model development repositories 🎯 Use Cases - Implementing complex reconciliation and business rules in PySpark that Pipeline Builder can't express - Structurally eliminating "regressions from editing production directly" through mandatory reviews and branch-based workflows - Implementing derived KPIs and validation logic as Functions reused across apps - Managing ML model training and inference code under governance ⚠️ Caveats - The docs note that Japanese translations are machine-generated and unverified, so localized content may have accuracy limitations - Each repository type (Transforms/Functions/Model) supports different languages and purposes, so pick the one that fits your goal - Being a pro-code environment, the quality benefits only materialize if your organization establishes review, CI, and test practices #PalantirFoundry# #DataEngineering#

INTELLIGENCE is becoming too cheap to meter for example, last year opus 4 cost $30 per million tokens with an AA intelligence score of 21. now opus 5.5 costs just $8 with a score of 58 and with openai, gpt-5 cost $3.44 with a score of 23 while 6.1 sol now costs $4 with a score of 52

Intelligence must draw on memory. The mind must not simply compile data — as an algorithm now does more quickly than we can — but recall lived experiences, which contain depths of meaning that only the human soul can recognize, and connect more deeply with the goodness of these experiences. Everything that is good begins “with the Spirit” and thus possesses a breath, a dynamism and a sense of communion that, once experienced, are engraved upon the heart.

Intelligence is only half the job. Acting on it safely is the other half. ⚙️ @Xero's James Hsu joins Snowflake's Anahita Tafvizi, sharing why AI agents need governance like access control and masking built in natively, not bolted on. Watch here 👇

Intelligence goes up and costs come down! New models from @AnthropicAI and @OpenAI are available in Glean today: → Claude Opus 5.5 cuts token costs by 50% versus its predecessor, measured on Glean's own evals → GPT-6 Luna and GPT-6 Sol both bring a 50% price cut versus their predecessors The frontier will keep changing. Glean gives teams the flexibility to choose what works best.

Intelligence is often discussed as if it were immaterial. AI makes the opposite visible: reasoning requires chips, memory, energy and cooling. Compute does not diminish human thought. It gives more people the ability to test, build and discover at a scale once reserved for a few