AI agent security is an application design problem as much as a model problem. Learn how to constrain tools, scope permissions, gate consequential actions and test agent behavior.
Quick summary Read prototype claims carefully: examples involve different levels of AI assistance and testing. Prove the rules first: a grey box separates mechanics from presentation. Iterate visibly: run the game and repair specific defects. Keep human ownership: game feel, accessibility and readiness require review. Games made with Astra are moving beyond the one-line “make […]
Quick summary Start with one playable loop: define a small vertical slice with clear rules and feedback. Write a design contract: specify controls, mechanics and constraints. Iterate in bounded steps: begin with a grey box and play-test each change. Review beyond the demo: performance, accessibility and game feel still matter. People searching for how to […]
Quick summary Evaluate actions and answers: polished text can hide a failed workflow. Check three surfaces: the outcome, tool-use path and final external state. Combine suitable graders: deterministic checks, rubrics and human review. Learn from failures: turn traces into regression cases and measure cost and constraints. AI agent evaluation starts with a simple reality: an […]
Quick summary Separate latency measures: first-token delay differs from later token cadence and total time. Inspect preparation work: retrieval, queueing, prompt processing and networking contribute. Measure the bottleneck: avoid treating every delay as model slowness. Reduce avoidable work: bound retrieval, reuse stable prefixes and tune serving policy. Time to first token (TTFT) explains a familiar […]
Quick summary Automate predictable CRUD: FastCRUD reduces repeated endpoint and data-access wiring. Expose relationships deliberately: control fields and response sizes. Keep business rules explicit: permissions, tenant boundaries and transactions remain design choices. Use custom endpoints when needed: complex domain workflows may need a service layer. One FastAPI tool I’ve found genuinely useful lately is FastCRUD. […]
Quick summary Faster building moves the bottleneck: more code pressures review, testing and operations. A demo is not validation: establish whether a feature solves a user problem. Connect product and delivery: plan for reliability, security and failure handling. Measure useful progress: learn from small experiments and maintain dependable delivery. AI product development has changed the […]
Quick summary Prototype to learn sooner: test a specific user assumption with a small interaction. Separate possibility from value: a working demo does not establish usefulness or trust. Keep judgement central: research, design trade-offs and technical ownership remain essential. Invest after learning: decide what deserves production work. AI product development now has a much cheaper […]
Quick summary The article reviews seven Python 3.15 changes: its focus includes imports, immutable data, API design and developer tooling. Adopt features for a concrete need: measure startup or workload behaviour before changing working code. Check compatibility first: dependencies and native extensions can determine when a runtime upgrade is practical. Upgrade with evidence: test in […]