Tech Blog

Understand Agent payments without giving a model a wallet and hoping for the best. This guide separates AP2 authorization evidence, commerce checkout state, x402 payment transport, settlement, fulfillment, refunds, privacy, idempotency, and reconciliation.

Design AI Agent identity and delegated authorization with separate user, agent, workload, run, and tool identities. Learn short-lived credentials, OAuth audience binding, token exchange, proof of possession, authority attenuation, revocation, policy enforcement, and audit evidence.

Design an AI Agent sandbox from a threat model instead of a container checkbox. Compare hardened containers, gVisor, microVMs, and WASM; then control files, network egress, credentials, resources, lifecycle, observability, escape tests, and post-run destruction.

Learn how diffusion language models generate text through iterative denoising, where parallel decoding can help, why speed claims need workload controls, and how to evaluate quality, latency, structured output, editing, and agent reliability against autoregressive baselines.

Learn how reinforcement learning with verifiable rewards trains language models and AI Agents, why GRPO is not the definition of RLVR, how environment rewards and guidance work, and how verifier false positives, leakage, reward hacking, sparse trajectories, and distribution shift should be tested.

Explore TypeSafe Jev, its decision primitives, confidence formulas, parallel questions, Go API integration, benchmark limits, and production evaluation methods.

Build embedding-based content analysis for clustering, classification, semantic deduplication, topic discovery, threshold calibration, and production evaluation.

Understand Agent Client Protocol v1 and the draft v2 migration: prompt lifecycle, state updates, capabilities, permissions, MCP composition, remote transport status, compatibility tests, and security boundaries for IDE and coding-agent integrations.

Understand DeepSeek Harness as a preview Agent runtime: Cordis plugins, launch profiles, product modes, append-only session evidence, capability seams, desktop and Web entry points, security boundaries, and a Go adoption gate.

Build safer DeepSeek Harness plugins with Cordis apply functions, dependency injection, reversible effects, tool policy hooks, configuration overlays, and upgrade tests.

Understand DeepSeek Harness session logs, trajectory inspection, fork and replay semantics, durable event design, context reconstruction, and the limits of replay for external side effects.

Secure AI agent tools against prompt injection, poisoned metadata, unsafe results, and supply-chain changes. Apply least privilege, runtime policy, approvals, and audit controls.

Learn how constrained decoding turns JSON schemas, grammars, regexes, and choices into token-level output rules. Compare JSON mode, validation, latency, and production failure handling.

Learn when to separate LLM prefill and decode into independent worker pools. Understand KV-cache transfer, TTFT and ITL isolation, routing, tuning, and failure modes.

Design a production LLM semantic cache that reuses answers only after hard scope checks and calibrated similarity. Learn cache identity, tenant isolation, source and policy versioning, admission, TTL and event invalidation, request collapsing, false-hit evaluation, shadow rollout, observability, and safe bypass through a runnable Go example.