How to Run an Agent Loop That Actually Converges
A four-checkpoint how-to for agent loops: name a measurable job, bound the tool surface, refresh sandbox fixtures from real traffic, and verify at agent speed.
Learn the step-by-step process for deploying .NET 10 applications to Heroku, from buildpack detection to SDK pinning, and understand the lifecycle of .NET LTS releases.
This visual explainer walks you through deploying a .NET 10 application on Heroku, covering the key steps from pushing your code to configuring the runtime. Heroku's .NET buildpack automatically detects single-file C# applications, installs the latest SDK, and builds and publishes your app, even without project or solution files. You'll learn how to handle both .sln and .slnx formats, how Heroku CI runs your tests with dotnet test, and why pinning your SDK version with global.json is crucial for reproducible builds. Additionally, we clarify the support lifecycle: .NET 8 and .NET 9 remain supported with updates until November 10, 2026, while .NET 10 is the new three-year Long Term Support release. By the end, you'll have a clear mental model for getting your .NET 10 app live on Heroku and managing future upgrades.
The posts behind it
The post presents a resilience-testing tutorial for applications that depend on Amazon Simple Queue Service (Amazon SQS), where failed queue operations can stall downstream processing and trigger cascading outages. It uses AWS Fault Injection Service (AWS FIS) and AWS Systems Manager (SSM) Automation to apply a scoped deny resource policy that blocks data-plane actions, including sending, receiving, deleting, changing visibility, and purging, while preserving queue management. The experiment increases disruption across four phases, then observes producer-side and consumer-side behavior through application and Amazon CloudWatch metrics, including circuit-breaker state, failed sends, backlog, message age, duplicates, and dead-letter-queue effects. The guidance emphasizes hypotheses with measurable success criteria, non-production guardrails, tagged target queues, and a stop condition based on customer impact. It also describes consumer-only, partial, and compound-failure extensions, warning that concurrent experiments on one queue can leave a stale deny policy.
Athenahealth’s single-Region Terraform Enterprise deployment became inaccessible to developers during an October 2025 AWS regional service event, exposing missing regional failover capabilities. The post describes a customer-operated active-passive design spanning us-east-1 and us-west-2, using Aurora PostgreSQL-Compatible global databases, bidirectional S3 cross-Region replication, Route 53 health checks, and compute scaled to zero in the DR Region. AWS Fault Injection Service experiments validate three phases of recovery, including failover, failback, and disruptions that can reveal dependencies such as state-file lookups or S3 connectivity. The resulting architecture achieved a validated 12–14 minute RTO and less than one minute RPO, while costing approximately 30–40% more than the single-Region deployment. The design is presented as an option for critical workloads rather than a supported multi-Region TFE product configuration.
Encode-prefill-decode (EPD) disaggregation separates a multimodal model’s vision encoder from LLM prefill and decode, addressing contention when image or video processing delays language-model work. Using NVIDIA Dynamo, the post compares aggregated serving with colocated encoder workers and a heterogeneous, disaggregated encoder tier, with vision embeddings transferred to PD workers through NIXL over UCX RC/TCP Ethernet. EPD is most useful for media-heavy requests, short-to-medium outputs, smaller or quantized models, and mixed text/multimodal traffic; long decode sequences or light media processing reduce its value. In the reported image-heavy test, colocated and heterogeneous EPD reduced TTFT by 58% and 50%, while the heterogeneous tier served 70% more traffic at the same under-100-ms ITL SLO. Mixed-traffic measurements also reduced mean TTFT for text requests from 92.3 to 53.3 ms.
CUDA Toolkit 13.4 extends CUDA application support to Windows on Arm and provides preview support for NVIDIA Rubin (compute capability 107), alongside updates to GPU management, CUDA Python, CCCL, Nsight tools, and core math libraries. Multi-Process Service V3 adds a scriptable CLI, named server instances, namespaces, TOML configuration, streaming multiprocessor partition controls, and cgroup-integrated GPU memory limits for shared, containerized GPU workloads. CUDA Compute Fabric Transport lets communication-library developers address named NVLink endpoints and issue asynchronous put, get, and reduction operations without mapping every remote allocation into virtual address space; it is exposed only through the Driver API. The release also decouples driver installation from the toolkit, exposes locality and unified-memory residency queries, and changes coherent platforms to CDMM by default while retaining NUMA support.
Heroku now supports building and running .NET 10 applications, including ASP.NET Core 10, C# 14, and F# 10, as the new three-year Long Term Support release becomes available. Its .NET buildpack detects single-file C# applications, installs the latest SDK, builds and publishes them, and configures web apps without project or solution files; it also supports both .sln and .slnx formats. Heroku CI continues to run dotnet test by default, with the .NET 10 SDK integrating the Microsoft Testing Platform into that command. .NET 8 and .NET 9 remain supported with updates but reach End of Support on November 10, 2026, while apps targeting net10.0 RC will use stable .NET 10 on their next push and can pin SDK versions through global.json.
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