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45 postsCustom Vulkan Engine Beats llama.cpp by 1.44x for One Model on RDNA3
A hand-written Vulkan inference engine for one model on RDNA3 GPUs decodes 1.44x faster than llama.cpp with token-exact output parity.
How Compiling an AI Agent's Workflow Cut Token Use by 94%
An engineer compiled a recurring AI agent workflow into deterministic code, cutting token use 94% and latency 87% with no quality loss.
AI Agents for Mathematicians: Beyond Chat-Based Prompting
Why agentic harnesses like Codex outperform chat prompting for tackling open math conjectures, with durable state and strict verification labels.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comWhy a Student Built a Browser PDF Editing Engine From Scratch
A developer built a from-scratch browser PDF editing engine after discovering no JS library truly edits PDFs, solving rendering, saving, and text grouping.
Platform Teams Must Now Serve Environments at Agent Speed
Coding agents are turning environment requests into traffic. See why platform teams must shift from provisioning workflows to real serving systems.
AI agents are shifting from loops to graphs
An analysis of the shift from loop-based AI agents to graph-structured architectures, with practical guidance for engineers.
Harness Engineering: Curating Context to Scale AI Coding Agents
Harness engineering keeps AI models fixed and optimizes context and tools instead, encoding nonfunctional requirements for reliable agent output.
WANDR Benchmark Tests AI Agents on Wide-and-Deep Research Tasks
WANDR benchmark evaluates AI research agents on wide-and-deep data collection tasks using reference-free, evidence-verified grading across 500 tasks.
The Bottleneck for AI Agents: It's Not the Model, It's the Context Layer
AI agents' issues stem from context layers, not models. Proper infrastructure can enhance reliability.
DynamoDB Deep Dive
Explore essential best practices for DynamoDB, focusing on consistency and data access patterns.