Hands-on build guides with free AI tools, the latest in AI, and Forward Deployed Engineer playbooks — written for engineers who ship.
xAI just open-sourced Grok Build, the internal orchestrator behind their agent workflows. Here's the engineering breakdown: what it is, why it flips the script on agent design, and how to run it locally today.
A walkthrough of indirect prompt injection against Claude's persistent memory, why it's a critical vector for forward-deployed engineers, and how to exploit and mitigate it in production LLM pipelines.
How Neomind Labs coaxed 5 tokens/sec from Gemma 4 26B on an ancient Xeon with no GPU. We break down the quantization, caching, and kernel stack that makes it possible—and what FDEs should steal from it.
LLMs are probabilistic, but production systems demand determinism. Learn how Domain-Specific Languages bridge the gap, turning unreliable natural language into structured, verifiable outputs that forward-deployed engineers can actually ship.
A developer rewrote Linux 0.11 in idiomatic Rust, booting it in QEMU. We dissect the architecture, why memory safety in kernel space matters for FDEs, and how to run it today.
George Hotz just dropped a raw, engineer's take on LLMs: love the utility, hate the hype. We break down his post, why it matters for FDEs, and how to build useful things without drinking the AGI Kool-Aid.
A critical Cursor IDE vulnerability exposed how agentic tools can be hijacked. We break down the attack, why it matters for forward-deployed engineers, and how to harden your local dev environment today.
New research shows LLM coding agents don't just react—they plan ahead. We break down the paper's findings on anticipatory reasoning, why it matters for building reliable agentic systems, and how to try it today.
Codex now encrypts sub-agent prompts, closing a critical side-channel. Here's why it matters for agentic architectures, how to test it, and the real-world implications for FDEs building secure systems.
We dissect a brutal benchmark of 15 legacy Tesla GPUs against modern AI workloads. Discover why a $40 K80 still surprises, how VRAM and memory bandwidth dominate token generation, and what this means for engineers building inference stacks on a budget.
Mechanistic interpretability researchers are injecting causality theory into LLMs to decode reasoning. Here's the engineer's take on activation patching, causal graphs, and why it matters for debugging AI features.
Mindwalk turns coding-agent sessions into 3D replays on top of your codebase structure. Learn how this spatial debugger works, why it matters for FDEs, and how to use it today.
Giving an LLM shell access is a recipe for disaster. Clawk solves this by spinning up disposable Linux VMs for coding agents. Here's the engineering breakdown and how to use it today.
Apple's new SpeechAnalyzer API runs locally on Neural Engine. We break down the Whisper comparison benchmarks, analyze latency vs. accuracy trade-offs, and show engineers how to integrate it today.
Ghost Font exploits the gap between human visual perception and machine vision to render text invisible to OCR. We break down the technique, why it matters for engineers building RAG pipelines and document extractors, and how to test it today.
Ploy's production agent migration to GPT-5.6 delivered 2.2x faster inference and 27% lower cost. We break down the benchmarks, architecture, and how engineers can replicate these gains today.
A packet-level analysis of the `grok build` CLI reveals it transmits a full project tree, system prompts, and binary blobs. Here's what engineers need to know about the API contract, security implications, and how to inspect it yourself.
Mesh LLM over iroh splits LLM inference across peer devices without a central server. Explore the protocol, run it locally, and understand why this matters for edge AI.
A technical deep-dive into why Claude Code consumes 33k tokens of overhead before reading your prompt, how OpenCode slashes that to 7k, and what this means for your workflow, costs, and agent architecture.
FableCut is a browser-native video editor with zero dependencies, designed from the ground up to be programmatically driven by AI agents. Here's how it works and why it matters.
Learn how to turn any web app into a programmable agent tool without an API. We break down the reverse-engineering approach, its practical implementation, and when to use it.
Meta released Muse Spark 1.1, a fast, steerable text-to-image model API. We break down the architecture, show code for instant integration, and explore the engineering possibilities beyond simple generation.
A developer got GLM 5.2 running on a slow machine using aggressive quantization and memory offloading. Here's how it works, why it matters, and how you can replicate it today.
OpenAI's reasoning model produced a novel proof of the Cycle Double Cover Conjecture. Here's what happened, why it changes the game for engineers, and how to use it today.
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