Hands-on build guides with free AI tools, the latest in AI, and Forward Deployed Engineer playbooks — written for engineers who ship.
AirLLM inference explained: how layer-wise loading lets you run Llama 70B on a single 4GB GPU. Covers the engineering mechanics, memory math, and a balanced take on when it's actually useful for FDEs.
LLMs aren't a leveling force—they're a force multiplier for expertise. Here's why senior engineers extract 10x more value from AI tools, and how to close the gap deliberately.
Blindly copy-pasting AI-generated code creates dangerous cognitive debt. Discover why manually retyping LLM output forces comprehension, builds intuition, and makes you a more resilient engineer.
A researcher used an LLM to generate a SQLite CVE report. The result was a masterclass in hallucination: plausible, detailed, and dangerously wrong. Here's what happened and why it matters for engineers shipping AI features.
Qwen3.8-Max challenges proprietary coding models at a fraction of the cost. We break down the benchmarks, what it means for engineers shipping code, and how to run it locally today.
AMD's MI355X runs Kimi K3 MoE inference at better performance per dollar than Nvidia's B300. We break down the benchmark, why memory bandwidth dominates cost, and what this means for engineers deploying large-scale models.
We ran Kimi K3 on consumer hardware using 29 GB of RAM. The 0.5 tok/s throughput isn't a software bug—it's a physics lesson in memory bandwidth. Here's what happened, why it matters, and how to try it.
LLMs can generate a prototype in seconds, but that isn't a product. Explore the invisible systems work—state management, error handling, deployment—that separates a demo from shippable software.
MIT research confirms AI financial advice is surprisingly good when you ask the right questions. Here's the engineer's playbook for structuring prompts with constraint injection to extract useful, grounded LLM advice without hallucination.
Concurrent LLM agents break in ways sequential code never does. We dissect the qm harness to expose the state corruption, atomicity failures, and non-determinism that kill agent reliability.
Microsoft's Flint is a new declarative charting language designed for LLMs to generate. We break down the JSON syntax, vector-native rendering, and why it matters for engineers building AI-driven data UIs.
Run connected components on billion-node graphs using a laptop. We break down the DataFusion-powered approach that trades supercomputers for SQL and a 10GB buffer.
The EU mandates labels on authentic-looking AI content from August 2. This is an engineer's guide to understanding the technical requirements, implementing C2PA provenance, and building compliant media pipelines.
YoanWai's Agent-Manager puts Claude Code, Codex, and OpenCode side-by-side in a single Tmux terminal. A deep dive into multi-agent orchestration for engineers tired of context-switching.
LLM routers promise cheaper, smarter API calls by splitting traffic across models. We built one, ran it in production, and ripped it out. Here's the math on why cost savings evaporated, complexity exploded, and simple fallback logic won.
AI models often pass benchmarks using spurious correlations, not true reasoning. Learn how shortcut learning breaks in production and how engineers can detect and fix it.
A technical breakdown of the July 2026 frontier lab agent intrusion. We analyze the exploit chain, why tool-calling agents are uniquely vulnerable, and how engineers can harden production AI systems today.
OpenAI slashed GPT-5.6 API prices by 50% while improving reasoning. Here's how engineers should rethink model routing, cost optimization, and latency budgets.
DeepSeek V4 Flash 0731 disrupts the speed-cost frontier. We break down real benchmark data, analyze the throughput vs. latency engineering tradeoffs, and show you how to route it today.
Google's AI patching engine fixed 57% of Chrome bugs in June alone, outpacing the previous two years combined. Here's the architecture, why it matters for FDEs shipping secure code, and how to try it today.
A new experiment proves that distilling a censored model like DeepSeek into a smaller one strips the safety filter. Here’s the engineering breakdown, why it matters for FDEs, and how to run it yourself.
Large language model agents ignore long-form policy documents. Research confirms verbose instructions hurt compliance. Learn why constraint-based architectures, structured tool definitions, and short-circuit rules outperform 50-page policy tomes.
GitHub's stacked PRs are now in public preview. Learn the engineer's workflow to break monolithic features into reviewable units, avoid merge hell, and ship faster—with a balanced look at the tool's current limitations.
DeepMind's Gemini Robotics 2 fuses vision-language-action models with whole-body control, redefining how robots generalize. Here's the engineering breakdown of why this matters for sim-to-real transfer and how to prototype with it.
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