Author Archives: Allen Rodriguez
The Claude Messages API does not turn an application into a stateful conversation service by itself. Each request includes the message history that Claude should use for the next response, which means the application owns the durable transcript, business state, tool results, user preferences, and recovery logic. Durable conversation state is an application-data concern in […]
Claude API cost control is an architecture discipline, not a single billing setting. A request can become expensive because the chosen model is larger than the task requires, the input history grows without context management, outputs are unconstrained, cache reuse is poor, retries multiply work, or traffic ramps into rate limits. Cost-aware Claude engineering measures […]
An evaluation set is the evidence layer between a Claude application and a production release. It turns vague statements such as “the new prompt seems better” into a repeatable comparison against real tasks, edge cases, and failure modes. Evaluation datasets for Claude engineering must evolve with real users, edge cases and product failures rather than […]
Controlling Copilot Studio Event Triggers Event triggers in Microsoft Copilot Studio let an agent start work without a user message. Current Microsoft guidance says the feature is available for agents with generative orchestration enabled and can react to connector events such as a SharePoint item, OneDrive file, Planner task, or recurrence schedule. That changes the […]
Microsoft AI-103: CI/CD for Foundry Projects CI/CD for Microsoft Foundry projects involves more than uploading agent code. A reliable pipeline coordinates application source, agent definitions, model and deployment references, infrastructure, permissions, environment settings, evaluation results, and post-deployment checks. Microsoft documents GitHub-based CI/CD templates for hosted agents that can deploy updated code and verify a response, […]
Microsoft AI-103: Azure OpenAI Structured Outputs Structured Outputs in Azure OpenAI through Microsoft Foundry move application integration beyond “please return JSON.” Current Microsoft documentation distinguishes JSON mode, which guarantees syntactically valid JSON, from structured outputs, which constrain supported models to a supplied JSON Schema. For Microsoft AI agents, that difference is an architectural boundary: a […]
Claude can be consumed through the direct Claude API and through cloud-platform routes, but those paths are not interchangeable wrappers around the same endpoint. The deployment route chosen for Claude engineering affects identity, billing, regional processing, feature access, request limits, support and sometimes the data processor involved. A reliable architecture starts by deciding which of […]
Claude Message Batches are built for workloads that need scale and cost efficiency more than interactive response time. The API accepts up to 100,000 individual message requests in a batch, begins processing asynchronously, and can take up to 24 hours to complete. Anthropic prices batch processing at a 50 percent discount on input and output […]
Context Design for GitHub Copilot GitHub Copilot works best when supplied with relevant repository context, but more context does not automatically improve coding accuracy. Current GitHub documentation supports repository-wide instructions in `.github/copilot-instructions.md`, path-specific `.instructions.md` files in supported environments, and agent instructions such as `AGENTS.md` for agent workflows. Effective context crafting decides which rules should be […]
Claude can accept very large contexts on supported models, but a large context window does not make “send everything” a strong retrieval strategy. Anthropic’s current context guidance explicitly warns that accuracy and recall can degrade as context grows and identifies server-side compaction as the primary technique for long-running conversations. Long-context Claude engineering requires separate choices […]
Claude structured outputs make JSON reliability an interface-design problem instead of a prompt-formatting gamble. Anthropic supports schema-constrained JSON through `output_config.format` and strict tool inputs through `strict: true`; these validate completed, non-refusal outputs against a supported JSON Schema subset. A refusal or a response stopped by a token limit can still interrupt the requested JSON contract, […]
Using Claude in a regulated workflow begins with data-flow design, not with a compliance badge. Anthropic offers zero data retention arrangements and HIPAA-ready API access for eligible organizations and features, but eligibility varies by endpoint and capability. Regulated Claude engineering workflows need an explicit map of submitted data, processing features, retention, access rights and auditable […]
Claude thinking features are useful when a task benefits from deliberate reasoning, but the 2026 platform has moved away from treating a fixed manual token budget as the universal control. Anthropic documents manual extended thinking with `budget_tokens` as deprecated on Claude 4.6, unsupported on Claude 4.7 and later, and recommends adaptive thinking where the model […]
Cisco TrustSec uses Security Group Tags (SGTs) to represent logical identity or privilege in the network. Current Cisco documentation describes an SGT as a 16-bit label that can be assigned during classification, carried across TrustSec-capable paths, and used by switches, routers, and firewalls for policy enforcement. In Cisco network engineering, the value is that policy […]
Encrypted traffic creates a difficult security boundary: the firewall can enforce network policy without reading payloads, but many threat detections become stronger when the device can inspect the application content inside TLS. Cisco Secure Firewall decryption policy is the decision layer that determines which encrypted sessions are decrypted, which are allowed to remain opaque, and […]
