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GitHub Copilot app for Beginners: How to build custom workflows with canvases
Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done. The post GitHub Copilot app for Beginners: How to build custom workflows with canvases appeared first on The GitHub Blog .
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service) — you bring prompts and a reward function; we handle the infrastructure and the…
How to add hybrid search to a Postgres app with Pinecone in 2026
Add hybrid search to a Postgres app with Pinecone: full-text and vector search in one index, Postgres as the source of truth. Built around a snack shop example.
FinOps for AI: a practical guide to managing AI cloud costs
AI has crossed the threshold from speculative R&D to the operational engine of the modern enterprise. Engineering teams deploy autonomous agents to handle complex customer workflows; product squads embed foundation model APIs directly into flagship software; and business units independently license AI-powered SaaS platforms to streamline daily work. What began as a series of isolated experiments…
Engineering resource planning: A guide to capacity and profitability
Engineering resource planning helps architecture and engineering firms align project demand with the right staffing. Learn how to connect resource decisions with project budgets, utilization, margins, and financial performance to support more profitable growth. The post Engineering resource planning: A guide to capacity and profitability appeared first on Sage Advice US .
Project profitability: How to calculate, analyze, and improve margins
To know whether a project is paying off, you need more than the revenue figure. True project profitability means understanding what's left once all costs are counted and having a system to track your margins before problems catch you off guard. The post Project profitability: How to calculate, analyze, and improve margins appeared first on Sage Advice US .
How to handle real-time interruptions in your AI voice agent
Callers interrupt agents and call from noisy rooms. That's real life. Here's how to tune barge-in, turn detection, and context so your AI voice agent keeps up.
CI/CD Security Best Practices: A 2026 Pipeline Checklist
CI/CD security best practices for 2026: secrets management, scoped access, dependency scanning, signed artifacts, and audit logging in one checklist. | Blog
How to Build an RCS Business Messaging Campaign with Twilio in C#
How to Build an RCS Business Messaging Campaign with Twilio in C#
How to manage aircraft leases with AI agents
AI quickstarts are a catalog of ready-to-run, industry-specific use cases for your Red Hat AI environment. Each aims to provide a simple and practical way to solve real-world problems using AI on enterprise open source infrastructure. This quickstart takes on a document problem most people outside of aviation never see: the aircraft lease. Aircraft leases are typically dense, complex, and…
What if your agent's hallucinations had a budget? How to start using SLOs for agent behavior
At Grafana Labs, observability is what we do. So as we started building AI agents, we naturally reached for the same instincts we bring to every system: measure it, set targets, and make reliability something you can reason about instead of hope for. That instinct led us somewhere unexpectedly useful. It turns out one of the oldest ideas in reliability engineering, the error budget, maps…
AI Token Cost Management: Why AI Spend Gets Out of Control (and How To Fix It)
This post is based on Kong's webinar on token cost management. Watch it below, or keep reading for the breakdown. Token cost management is how a business tracks, controls, and governs what it spends on AI model usage, the same way it already tracks…
Context engineering is already possible in your warehouse. Here's how to get started.
Analytics teams have always modeled data for BI. Context engineering models data for agents, starting with semantic search.
How to use church finance reports to improve transparency and decision-making
Learn how church finance reports help leaders track giving, manage budgets, report clearly to the congregation, and make better decisions with confidence. The post How to use church finance reports to improve transparency and decision-making appeared first on Sage Advice US .
How To Measure Your Laptop Size The Right Way
Learn how to measure your laptop size, look up specs, and choose a bag that fits and protects your device.
AI cost management: How to build a business case for executives
Stop guessing. Start governing. Your CFO doesn’t want a demo, they want a defensible business case. Here’s the 7-step checklist that builds one. Define your addressable AI spend: Inventory AI costs across model APIs, cloud GPUs, vector databases, AI software licences, agents, users and infrastructure Identify optimization opportunities: Evaluate model rightsizing, prompt caching, agent…
Your AI Strategy Depends on Partners; Here’s How to Find Them
The next phase of enterprise AI will not be built inside one provider’s platform. Models, accelerated compute, enterprise data, storage and network services increasingly…
How to Solve the Agent Handoff Problem
If your agents hand work to each other, or to a teammate's agents, this is the difference between the next agent building on a decision and rebuilding a dead end. Discover how to solve the agent handoff problem with Meko, the agent-native context engine for multi-agent AI systems. The post How to Solve the Agent Handoff Problem appeared first on Yugabyte .
How to Audit Cloud Spend When You Inherit a New Environment
A practical guide to auditing cloud spend when you inherit a new environment: find waste, attribute costs, detect drift, and prevent overspend.
How to Test and Fix Voice AI Agent Prompts with Twilio Conversation Relay and Cekura
Build and test an AI voice agent using Twilio Conversation Relay and Cekura. Write metrics, run evaluations, and fix prompt bugs.
How to improve agent experience (AX) with CI
How to Build an SRE Agent That Actually Works (Without Blowing the Token Budget)
Learn how to build an SRE agent that delivers accurate, low-latency incident triage with multi-tiered memory and RAG—without blowing your token budget.
How to Buy AI Hardware When the Hardware Market Never Sits Still
At the end of 2025, we wrote a blog post intended to demystify AI hardware processors. We compared GPUs and CPUs, as well as…
Top AI Infrastructure Tools and How to Choose the Right One
Learn what AI infrastructure tools are, the main categories, top examples, and how to choose the right ones for your workloads.
How to design GitLab for enterprise scale
At enterprise scale, even small architecture choices can have outsized consequences. A deployment that works for a handful of teams can become a constraint once thousands of developers, repositories, and pipelines depend on it. That makes each decision made before rollout especially consequential. For example, your: Deployment model defines what your team must operate Runner strategy shapes how…
Getting Started with Ambient Mesh: Simplifying Service Mesh with Sidecarless Architecture | Solo.io
Discover how Ambient Mesh modernizes Istio with a sidecarless, split proxy approach—enhancing performance, reducing costs, and streamlining operations for cloud-native microservices. Ask ChatGPT
Your guide to upgrading from IFS Applications to IFS Cloud
Evaluate the move with clear eyes: understand what you gain, what staying on IFS Applications really costs, and how to... The post Your guide to upgrading from IFS Applications to IFS Cloud appeared first on IFS Blog .
How to build a Language Server Protocol (LSP) plugin for Claude Code
Getting started with runtime security and Falco
Discover how to get started with Falco to overcome the challenges of implementing runtime security for cloud-native workloads.
How to Evaluate Neocloud Risks for Enterprise AI | Nutanix
Evaluate 7 neocloud risks for enterprise AI, including infrastructure, networking, data, security, compliance, and operations.
Tutorial: Autonomous Cyber Resilience with Cohesity Data Cloud and DSPM
While enhancements will continue to be added, the foundational capabilities are available today. In this tutorial, we show you how Cohesity Data Cloud and Cohesity DSPM work together to help you discover and protect all data automatically. Take action as you uncover new and sensitive data We all know that enterprise data volumes are growing. To keep up with protecting and securing your estate,…
Kubernetes Observability: Metrics, Alerts, and Best Practices
Kubernetes observability lets you collect and correlate logs, metrics, and traces, configure actionable alerts, and improve production incident response.
The AI Economy Has a Senior Engineer Problem. Here’s How to Solve It by PagerDuty
According to a 2025 report from Ravio, entry-level hiring (especially in engineering roles) has collapsed by more than 73% due to increasing AI capabilities. That... The post The AI Economy Has a Senior Engineer Problem. Here’s How to Solve It appeared first on PagerDuty .
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
Use KCP to automate Kafka migration with infrastructure generation, ACL and schema mapping, and offset-preserving data replication.
ATT&CK grew a 15th tactic: A practical DFIR field guide to the Stealth / Defense Impairment split
Artifacts and tooling for the new Enterprise MITRE ATT&CK matrix tactics, distilled from the field.
TrendLife’s 2026 guide to identifying deepfakes
Check out TrendLife's 2026 guide to identifying deepfakes and top tips to stay safe from AI face-swapping video calls and scams. The post TrendLife’s 2026 guide to identifying deepfakes appeared first on TrendLife Blog .
How to monitor Cypress tests with Grafana Cloud
If your Cypress suite has tests that fail more often or run slower, you know it can be hard to figure out the pattern from a single job. It could be one spec that slowed down, or a single test that fails, or maybe the entire suite is trending slower. The root cause could be a bug in the app, or a flaky test, or something else. Your terminal output and CI log will tell you what happened on a…
Getting Started with InfluxDB 3 and Grafana Tutorial
InfluxDB and Grafana are the most common pairing in time series monitoring, and division of labor between them is simple. InfluxDB stores and queries the data: high-volume, time-stamped readings from sensors, servers, meters, vehicles, and anything else that emits time series. Grafana visualizes the data: dashboards, time series panels, stat tiles, state timelines, and alerts. Neither tool…
Kubernetes Secrets Types, Management, Best Practices & Solutions
Managing Kubernetes Secrets at scale? See how Portainer helps teams improve visibility, enforce access controls, and simplify Kubernetes operations.
How to evaluate Sourcegraph on your own codebase
Better code retrieval does not automatically mean better task completion. Here is how to measure retrieval, agent performance, and cost without confusing one for another.