The Engineering Notebook — page 2 of 38

Notes on building with AI, agents & the modern stack.

Deep dives on AI/ML, RAG systems, agent engineering, and senior-engineer architecture decisions.

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REA: Reverse Engineer Anything With AI Agents [2026]

REA is the open-source MCP server that lets Claude Code, Codex, and Cursor reverse-engineer binaries, Electron apps, APKs, and live browsers. Here's what it does, how to set it up, and the legal line nobody else is drawing.

Woman typing code on a laptop computer AI and Machine Learning

How to Evaluate EmbeddingGemma 2 for Multilingual RAG [2026]

EmbeddingGemma 2 is shiny. Shipping it into a multilingual RAG stack without regressions is not. Here’s an embeddings-only eval + rollout playbook that works.

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OpenAI Decisions API Tutorial [2026]: 3 Cost-Safe Patterns

A production-first OpenAI Decisions API tutorial: typed evals on POST /v1/decisions, predicate/choice/score, and three patterns to gate, batch, and escalate without cost blowups.

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How to Build a Local Model Registry for GGUF [2026]

Stop downloading random weights from links. Build a local model registry with GGUF versioning, provenance attestations, eval gates, and a real rollback plan.

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How to Stop Prompt Injection in Agent Web Search APIs [2026]

Web search tools turn every AI agent into a browser. Here’s a threat model and a safe reference design: allowlists, extraction, sandboxing, signed provenance, and citation rules.

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How to Detect AI-Generated Bug Bounty Reports [2026 Guide]

A maintainer-first playbook to score report quality, spot LLM-written spam, add proof-of-work friction, rate-limit intake on GitHub, and reproduce safely in a sandbox.

A close-up of an rtx 3090 graphics card AI and Machine Learning

How to Run Qwen 3.8 Flash Next 125B in Strata on RTX 4090 [2026]

A reproducible Strata setup for Qwen 3.8 Flash Next (125B) on RTX 4090, plus the KV cache knobs that decide whether you hit ~100 tok/s or hit OOM.

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How to Tell If You Need an AI Agent or a Workflow (7 Smells) [2026]

Most “AI agents” in production are deterministic workflows wearing an LLM costume. Here’s the teardown rubric I use to simplify designs, cut cost, and make on-call sane.

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Kolibri Open Weight Model Benchmark: 1M Context Reality Check [2026]

Aleph Alpha’s Kolibri ships downloadable weights under Apache-2.0 and claims a 1M-token context. Here’s what that changes for EU/on-prem teams and how to benchmark it reproducibly on an A10/A100.

a white dice with a black github logo on it Cybersecurity

How to Build a Prompt Injection Scanner for RAG [2026]

A practical, reproducible way to scan retrieved RAG context for indirect prompt injection, benchmark false positives, and gate regressions in GitHub Actions without blocking your team all day.

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ds4 dwarfstar [2026 Review]: Redis-Style Local LLM Loops

ds4 (DwarfStar 4) turns local LLM inference into a Redis-like workflow: one long-lived server, deterministic prompt-keyed KV caching, and fast edit-run-edit loops without a GUI circus.

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How to Follow arXiv Updated Rate Limit Policy [2026]

arXiv tightened rate limits on Oct 1, 2026. Here’s a compliant ingestion blueprint for RAG: incremental harvest, caching, backoff, bulk S3, WARC snapshots, and version tracking.