All Articles

Migrate DeepSeek V3.2 to V4 across open-weight stacks — three reasoning modes, tokenizer change, HCA/CSA attention deltas, KV-cache reduction.

Migrate Next.js 15 to 16: Cache Components, use cache, cacheLife and cacheTag, the optional unstable_cache move, the official codemods and a rollout plan.

Migrate Prisma 6 to 7 — Rust query-engine deprecation, typed SQL adoption, generator path change, runtime selection, and the breaking-changes matrix.

Migrate Vercel AI SDK from v5 to v6 — useChat changes, tool-call streaming differences, provider-adapter contract shifts, codemods, and rollout plan.

Migrate from Claude Code SDK to Claude Agent SDK (TS + Python). Package renames, system-prompt default change, settings sources, v0.1.0 breaking changes.

Migrate Gemini 3 Pro to 3.1 with Deep Think — availability tier shift, pricing changes, safety-filter deltas, tool-use schema diff, and rollout plan.

Migrate GPT-5.2 to 5.5 — reasoning-effort behavior change, tool-call schema diff, cost-curve impact, structured outputs, and a phased rollout plan.

Migrate Claude Opus 4.6 to 4.7 — prompt-cache key changes, tool-use schema deltas, 1M context economics, compaction API surface, and rollout plan.

Per-user-per-month token-budget calculator for SaaS agentic features — formula tables, tiered budget design, overage routing, alert thresholds.

Per-trace cost calculator at 1K, 100K, 10M monthly volumes across LangSmith, LangFuse, Helicone, and Phoenix — feature deltas and break-even math.

Per-1M-token embedding cost across OpenAI, Cohere, Voyage, Mistral, and Jina — refresh-cycle math, dimensionality tradeoffs, and break-even tables.

Posts-per-quarter × topical-authority lift × organic conversion — the worked ROI model for agentic SEO content velocity at agency and in-house scale.

Deflection rate × ticket cost − license cost — the worked ROI formula and break-even table for AI customer-support agents across ticket volumes.

Custom agent vs Zapier and Make.com TCO across 1, 10, 100, 1000 workflow scales — build cost, run cost, change-cost, and break-even thresholds.

Worked decision framework — cost-per-query, cost-per-update, latency, and quality vectors comparing RAG and fine-tuning across four scale tiers.

Cost per published post across research, drafting, editing, and refresh tiers — calculator with AI-augmentation deltas at four maturity levels.

Build-vs-buy decision framework and TCO model for MCP capabilities — engineering hours, ops load, switching cost, and the six axes that decide.

Audit your agent workflows for failure recovery, timeouts, retries, rollback, and human-in-the-loop coverage with a 70-point severity-ranked scorecard.

Score your RAG pipeline across 80 points — ingestion, chunking, embeddings, retrieval quality, generation grounding, observability — severity-ranked.

Score your team's AI-assisted coding policy across 50 points — review gates, accountability, IP, redaction, secrets, and approval workflows.

Audit agent observability across 60 points — trace coverage, span depth, eval signals, drift detection, cost tracking, and incident response readiness.

Score your prompt library across 100 points — coverage, versioning, eval suite, regression detection, model-fit testing, governance discipline.

Audit your AI content pipeline end-to-end across 80 points — research, drafting, fact-checking, schema, publication, refresh, and amplification.

Audit MCP servers across 75 security points — auth, secrets handling, tool scoping, audit logs, prompt-injection defense, and abuse-path coverage.