Oracle Developers

Oracle Developers is a community for developers by developers

[Oracle Developers @OracleDevs]

To handle bursty, mission-critical workloads without overspending on idle cloud capacity, architects need a decoupled, event-driven framework.

That's why we introduced a reference architecture built on OCI designed to improve throughput while reducing avoidable compute, storage, and data movement costs.

Learn more: https://t.co/qNoebn1odh

[Oracle Developers @OracleDevs]

Our new short course with @DeepLearningAI covers continual and adaptive learning: the different ways in which you can make an agent better over time, and how to do it on Oracle AI Database 26ai.

We go over the details: https://t.co/usONCAljuC

[Oracle Developers @OracleDevs]

Oracle Select AI chatbot Release 5.0 brings together visual analytics, AI profile lifecycle management, agent builders, agent orchestration, prebuilt agents, governance, application customization, and low-code development in one Oracle APEX-based experience. #orclAPEX

We break down all the latest: https://t.co/Cdszii4clz

[Oracle Developers @OracleDevs]

OKE now supports three optional cluster software add-ons to improve the experience of running GPU-accelerated workloads:

✔️ NVIDIA GPU Operator
✔️ NVIDIA Network Operator
✔️ Node Feature Discovery

Get all the details: https://t.co/IDn2oN4I8F

[Oracle Developers @OracleDevs]

Learn how to optimize creating assertions and their ongoing validation with an example showing this in practice, along with general recommendations for writing efficient assertions. https://t.co/8j9RLAKmS6

[Oracle Developers @OracleDevs]

How do you generate vector embeddings for an AI application?

We explain what vectors are, how embeddings are generated, and which ONNX embedding models can be used directly with Oracle AI Database. https://t.co/CX887mpTAP

[Oracle Developers @OracleDevs]

OCI Object Storage now supports public IPv6 dual-stack endpoints, providing a way to access Object Storage from both IPv4 and IPv6 networks.

Learn more: https://t.co/OxykCBSOxQ

[Oracle Developers @OracleDevs]

#Java27 has arrived! 🥳☕

Get all the details about the latest release from our Java team. https://t.co/u2bfScIyn1

[Oracle Developers @OracleDevs]

Part one in this two-part blog series on deploying and using the Private Large Language Model Service from the Private AI Services Container 26.2.1 on a CPU-powered OCI virtual machine shows you how create the VM, download the large AVX-512 container image, use the default LLM, and chat with it. https://t.co/rynACZdSaZ

[Oracle Developers @OracleDevs]

Combining OCI with Uplynk help organizations:

🎥 Stream live events with confidence through managed operations and real-time monitoring
📉 Reduce vendor coordination across complex, multi-partner workflows
🛠️ Operate streaming as a managed service rather than stitching together tools
📈 Modernize infrastructure incrementally

We show you how: https://t.co/IFEE8gSaED

[Ana Maria Mihalceanu 🇳🇱🇷🇴 @ammbra1508]

Java 27 is almost here❣️

Join us tomorrow at 15:00 UTC for a 3 hour livestream featuring live coding, technical deep dives and conversations with the guests from the JDK team and community.

See you live 👇

https://t.co/RmcPdirwyu

#Java #JDK27 #AI

[Oracle Developers @OracleDevs]

What makes TxEventQ so cool? It comes built into our database, so you get event-streaming for free!
No external services needed and your data lives with your events in the same platform.

Anders Swanson shares more.

[Oracle Developers @OracleDevs]

Building AI agents is only the beginning—knowing when they’re ready for production is the real test.

Explore how evaluation gates can help teams assess agent reliability, safety, and real-world performance before deployment. (via @thenewstack) https://t.co/1dmewe6vBu

[Oracle Developers @OracleDevs]

ICYMI: Agents in Oracle AI Data Platform are Generally Available, and the entire path from first prototype to production deployment now lives on one platform, next to the data agents actually need.

Learn more: https://t.co/u9MS1uucsa

[Oracle Developers @OracleDevs]

OpenAI’s new Agents API makes it easier to build and run high-performing AI agents—and we’re proud to be part of the ecosystem helping developers choose where those agents operate.

[OpenAI Developers @OpenAIDevs]

Your sandbox, your call.

Bring your own sandbox or connect a sandbox provider.

Choose the environment that fits your workload:
• CPU, GPU, and memory options
• Fully managed environments or deployments within your VPC
• File and secret storage options

We offer first-class integrations with @blaxelAI, @CloudflareDev, @daytonaio, @digitalocean, @e2b, @modal, @OracleCloud, @RunloopAI, and @vercel.

[Oracle Developers @OracleDevs]

For decades, process automation ran on a single execution model and a simple premise:

If you could enumerate the logic, you could automate the work.

Now, the frontier is advancing into judgment itself and process automation is evolving from one execution model to three.

This blog dissects how the design decision of the next decade is which execution model each piece of work deserves. https://t.co/qaq0JGy8Vw

[Oracle Developers @OracleDevs]

With multiple certificate support for SSL inbound inspection in OCI Network Firewall, customers can now configure SSL inbound inspection across multiple certificate-backed applications, domains, and environments through a more flexible decryption policy model.

Get all the details: https://t.co/sruaPug7X9

[Oracle Developers @OracleDevs]

AI agents succeed or fail based on the quality of their harnesses.

This article from @thenewstack explores the design patterns that turn powerful models into systems that help them reason, use tools, and reliably complete multi-step work in production. https://t.co/3jciJWUxbn

[Oracle Developers @OracleDevs]

Learn how to move agent teams across schemas and environments using Open Agent Specification JSON or canonical PL/SQL definitions. https://t.co/axzOHSUl65

[Oracle Developers @OracleDevs]

This guide is for developers who want Codex CLI to work with Oracle AI Database through explicit tools, durable memory, and reviewable retrieval evidence.

It shows an AI agent memory architecture where Codex handles the developer interaction, SQLcl MCP provides the tool boundary for database access. The saved SQLcl profile and database user permissions determine what Codex can actually do, and Oracle AI Database stores durable memory and retrieval evidence. https://t.co/Vog8HU0d1n