How Jev works starts with a simple observation: most software does not need an AI system to write an essay. It needs a dependable answer to a bounded question. Should this support ticket be escalated? Which queue owns it? Is the document complete? Should an agent stop and ask a person for help? That is […]
How Jev works starts with a simple observation: most software does not need an AI system to write an essay. It needs a dependable answer to a bounded question. Should this support ticket be escalated? Which queue owns it? Is the document complete? Should an agent stop and ask a person for help? That is […]
How Jev works starts with a simple observation: most software does not need an AI system to write an essay. It needs a dependable answer to a bounded question. Should this support ticket be escalated? Which queue owns it? Is the document complete? Should an agent stop and ask a person for help? That is […]
How Jev works starts with a simple observation: most software does not need an AI system to write an essay. It needs a dependable answer to a bounded question. Should this support ticket be escalated? Which queue owns it? Is the document complete? Should an agent stop and ask a person for help? That is […]
Games made with Astra are moving beyond the one-line “make me a game” prompt. The useful question is whether an AI agent can participate in a real development loop: interpret a brief, edit a project, run it, observe a fault and make a bounded repair. The early evidence is interesting, but it needs careful reading. […]
People searching for how to build games with Astra are usually not looking for a one-line prompt that magically produces a finished game. They want a practical route from an idea to something playable: a small scene, clear rules, a browser build, and a way to test what changed. That is the useful AI game […]
AI agent evaluation starts with a simple reality: an agent can produce a polished final response and still fail the task. Once an AI system can retrieve information, call tools, request approval and change an external system, the final text is only a report of what happened. It is not proof that the work was […]
Time to first token (TTFT) explains a familiar LLM behaviour: a noticeable pause before the first word, followed by a stream of much faster tokens. If a model needs 1.5 seconds to begin but delivers later tokens roughly every 30 ms, the gap is usually the result of how transformer inference works, not simply a […]
One FastAPI tool I’ve found genuinely useful lately is FastCRUD. More specifically, it is a practical way to reduce the repetitive work around FastCRUD for FastAPI projects that use SQLAlchemy. When you are building a conventional API with FastAPI and SQLAlchemy, the repeated work adds up quickly. Every new resource can mean creating a record, […]
AI product development now has a much cheaper first step: turning an idea into a small, interactive prototype. What has not become cheap is the judgment required to decide whether that idea should become a real product. A rough workflow that once needed a specification, design work and an engineering sprint can now be explored […]
If you are comparing MCP vs API, the short answer is that they solve different integration problems. APIs expose capabilities; MCP gives AI applications a standard way to discover and use tools and context. Key takeaway: An API is a contract for interacting with a system. MCP is a protocol that helps AI applications discover […]
Trajectory evaluation shows how a final answer can look perfect while the agent behind it has already failed. Imagine an agent that tells a support team: “The customer record has been updated.” The sentence is clear and reassuring. However, the trace may show a different story. It may select a search tool instead of an […]
Contextual Retrieval addresses a common RAG failure: a system can return a chunk that looks relevant while still missing the information the user needs. The usual culprit is lost context: a sentence survives chunking, but the document, product, customer, date, or definition that makes the sentence meaningful does not. Anthropic’s answer is Contextual Retrieval. In […]
A feature request looks small until it crosses every layer of an application. Clean Architecture with SOLID helps when a checkout rule touches an HTTP handler, ORM model, pricing calculation, email notification and message consumer at once. It separates the business decision from the machinery used to deliver and store it. Clean Architecture is not […]
When you type claude into your terminal, there is a highly sophisticated Claude Code boot sequence that springs into action before you even see the first prompt. By understanding this pipeline, developers can better reason about startup latency, debug initial launch behaviors, and appreciate the careful parallelism engineered to keep time-to-interactive incredibly low. (Looking to explore more AI tools? […]
Context engineering for AI agents becomes essential when a promising demo meets a real workflow. After a few turns, an agent may repeat a question, follow an outdated instruction from the chat history, or spend most of its prompt on tool logs that do not affect the next decision. The answer is not to carry […]