Insights & Updates
Explore insights from our engineering team on software development, AI, cloud architecture, and industry best practices.
Master Claude API integration for enterprise applications. Learn authentication, streaming responses, tool use, vision capabilities, and best practices for building reliable AI-powered features with Anthropic's most advanced models.
Jishu Labs
CTO
January 20, 2026
13 min read
Featured Article
122 articles · page 4 of 11
Faster authoring shifts the bottleneck to review, comprehension and integration. What that means for team shape, roles and how work is divided.
Traditional observability tells you an agent responded. It does not tell you whether the response was correct. What to instrument for agentic systems, and how tracing and evaluation fit together.
Asking a model politely for JSON produces JSON most of the time, and most of the time is not a contract. How constrained decoding, schemas and validation combine into something you can build on.
Benchmarks say your agent works; production says otherwise. A practical evaluation approach covering end-to-end, trajectory and component scoring, and how to build an eval suite from your own failures.
When implementation is cheap and fast, the specification becomes the bottleneck and the durable artefact. What changes when the spec, not the code, is the thing you maintain.
Multi-agent architectures are the default recommendation of 2026 and the wrong answer for most teams. A decision framework for choosing between one agent, a planner-executor split, and a full orchestration graph.
Guardrails are the controls that sit around a model rather than inside it. Where each type belongs, what each can and cannot catch, and why buying beats building here.
A working MCP server in five steps — choosing what to expose, defining tools the model can actually use, handling authorisation, testing against a host, and the mistakes that make a server unusable in practice.
Three ways to make a model behave the way you need, routinely treated as competitors when they solve different problems. What each actually changes, and the order to try them in.
MCP is an open standard that lets an AI model call your tools and read your data through one interface instead of a bespoke integration per vendor. Here is what it is, what it is not, and when it earns its place.
Master Cursor AI and the vibe coding revolution. Learn Composer mode, multi-file edits, agent planning, and the modern AI-powered dev stack that lets you go from idea to production app in hours.
Playwright has won the browser testing wars. Learn setup, resilient test patterns, Page Object Model, API mocking, visual regression, and CI/CD integration with practical TypeScript examples.
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