Hands-on build guides with free AI tools, the latest in AI, and Forward Deployed Engineer playbooks — written for engineers who ship.
Rust Glancer slashes LSP memory from gigabytes to ~20 MB by swapping in-memory ASTs for a Tantivy-backed search index. Here's why this matters for resource-constrained editors and forward-deployed environments.
How an engineer used Claude Code to hack a cheap smartwatch into a home automation display. The real story isn't the watch—it's the emerging workflow for embedded development where AI handles the grunt work of reverse-engineering proprietary protocols.
Huzzah replaces prompt-chat loops with a structured task interface for AI coding. Learn why this matters for engineering velocity, how to try it, and a balanced take on its trade-offs.
Lambda Symbolics' Autolith gives an LLM a live Python runtime, letting it execute, observe, and fix code in a closed loop. We break down the architecture, why it matters for engineers, and how to prototype the pattern today.
Your local LLM isn't broken—it's just badly configured. Before blaming the 7B parameter count, fix greedy sampling, broken stop tokens, and context shift. Here's how.
Anthropic is A/B testing reduced effort levels in Claude Code, triggering fewer tool calls. Here's the engineering impact on cost, latency, and automation reliability, plus how to test it today.
We swapped Claude for OpenAI Codex for a week of real engineering work. Here’s the raw log of what broke, what shipped faster, and why context-window economics matter more than benchmark scores.
A deep-dive into building a sandboxed, self-hosted agentic software factory using Docker, OpenHands, and local LLMs. Learn the architecture, security pitfalls, and how to build yours today.
LLMs often vomit corrupted code with dangling brackets or broken syntax. Learn how a secondary 'vomit' agent cleans the token stream, why this matters for production pipelines, and how to implement it today.
A warp stalls for hundreds of cycles waiting on global memory. Here's the electrical and logical reality of a GPU memory read, how coalescing works, and why Forward Deployed Engineers must care.
A study reveals a brutal truth: AI tools boost homework scores but cause exam grades to plummet. Here's the cognitive science breakdown for engineers and why FDEs must master 'desirable difficulty' to avoid becoming AI-dependent operators.
Ornith-1.5 shows how small language models can bootstrap their own training data without GPT-4. We break down the self-scaffolding pipeline, why it matters for on-device AI, and how FDEs can run it today.
The junior engineer is not obsolete. AI tooling has transformed entry-level roles from ticket-takers into high-leverage force multipliers. Here's why the FDE career path proves junior talent is more valuable, not less.
The Cerebras CS-4 packs 1.2T transistors on a single wafer. Here's why its 21 PB/s memory bandwidth matters more than raw FLOPS for AI inference, and what it means for engineers shipping real products.
The Arrayref incident reveals how build.rs macros bypass code review. Engineers must treat build scripts as attack surface, not boilerplate. Here's the technical breakdown and defense.
LLMs aren't just chat interfaces—they're a new runtime. Learn how to design software where the model writes the glue code, turning rigid APIs into fluid execution environments.
Linear's internal data reveals how software teams actually use AI—not the hype, but the messy reality of adoption curves, language gaps, and the 30% task cliff.
We dissect GLM-5.3's Artificial Analysis benchmarks. See how the 130B open-weight model stacks up against Llama 3 and Qwen 2.5 on quality, speed, and price for engineering tasks.
Mojo is now open source under Qualcomm stewardship. This changes the calculus for engineers who need Python ergonomics with C speed. Here's what the license shift means, how to try it today, and where it fits in your stack.
Unsloth Dynamic 3.0 GGUFs bring per-token mixed precision quantization to GGUF, slashing VRAM for MoE and dense models without retraining. Here's how it works and how to run it.
A viral demo shows Claude reverse-engineering a Windows binary to build a macOS printer driver. We dissect the technical reality, why it matters for forward-deployed engineers, and how to try similar workflows today.
What happens when you train a transformer on nothing but children's stories? The Little Learner experiment reveals surprising generalization, brittle failure modes, and what it means for your training data.
Turbovec ports Google's TurboQuant scalar quantization to pure Rust, delivering 4x faster vector search with minimal recall loss. Here's how it works and why it matters for RAG pipelines.
Anthropic's new research maps the failure modes of multi-agent systems, from goal drift to infinite loops. Here's why FDEs building production pipelines need to move from naive chaining to structured coordination.
244 articles and counting