The Context Window: Agentic LLMs 101
In this episode, Mat Ryer and Cyril Tovena will talk about agentic LLMs with host Tiffany Jernigan.
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The Agent-Native Repo: Why AGENTS.MD is the New Standard | Harness Blog
This is part 1 of a five-part series on building production-grade AI engineering systems. Across this series, we will cover: Most teams experimenting with AI coding agents focus on prompts. That is the wrong starting point. Before you optimize how an agent thinks, you must standardize what it sees. AI agents do not primarily fail because of reasoning limits. They fail because of environmental ambiguity.
New HCP Terraform (Terraform Cloud) Migration Wizard from env zero
Migrating from Terraform Cloud (TFC), now known as HCP Terraform, or Terraform Enterprise (TFE) can quickly become complex. Workspaces, variables, remote state, and project structure all need to be recreated carefully to avoid breaking infrastructure workflows. env zero’s new migration wizard dramatically simplifies that process, enabling teams to migrate from TFC to env zero within a matter of hours.
Service Desk Correlation
When end-users report a problem, L1 teams shouldn't have to manually connect the dots. Service desk correlation automatically correlates service desk tickets with active BigPanda incidents, surfacing end-user impact instantly so teams can prioritize and triage with the full picture.
AI makes coding faster, shipping is the bottleneck
AI can generate code in seconds. But validation, testing, and review still take time.
If you sell developer velocity, your team better have it
If a company sells tools that promise faster engineering teams, they need to prove it internally too.
Architecting the Future: The evolution of Apache ActiveMQ for enterprise messaging and the path to mission control
Apache ActiveMQ is evolving from simple transport to intelligent fabric. Key shifts include replicated KahaDB for cloud-native resilience, Spring decoupling in v7, and OpenTelemetry observability—transforming messaging infrastructure for modern enterprise needs.
Monitoring Phoenix LiveView Performance With Scout APM
Phoenix LiveView is one of those technologies that feels like cheating. You get rich, interactive UIs without writing JavaScript, and the server handles the state. It’s elegant. But that elegance comes with a trade-off that’s easy to forget: all that interactivity runs on your server.
AWS App Runner: How It Works, Pricing, And Best Practices For Cost Optimization Today
Back in May of 2021, containers had already won. Kubernetes adoption was surging. ECS and EKS were powerful. But for many teams, deploying a simple containerized web service still meant stitching together clusters, networking rules, scaling policies, load balancers, IAM roles, and CI/CD pipelines. It felt heavier than it should. Developers no longer wanted more orchestration power. They wanted less operational drag.
Choosing a JavaScript logging library: The 2026 definitive guide
With AI writing more and more of our code, properly monitoring and debugging that code has become an increasingly critical part of the development workflow that can't be ignored. Luckily, we have more time than ever to implement the right tools to do so. Implementing a production-ready logging solution is easy to do, and provides you and your LLM Agents with a wealth of debugging information from your app, across users and environments.