Practical AI & Software Engineering for Modern Developers
Clear, in-depth guides on software architecture, cloud, development, and SaaS—from the systems behind the code to the decisions that make products work.
Latest Articles
Should You Give Your AI a Role? The Persona Prompting Tradeoff
Persona prompting is neither decoration nor a free win: measured evidence shows a consistent expertise-depth-for-clarity tradeoff, benefits that flip by question type, and ensembling frameworks such as multi-persona debate and Jekyll & Hyde for when a single role is not enough.
Best MCP Servers for Multi-Agent Orchestration and Autonomous Workflows
A roundup of the MCP servers built for multi-agent orchestration and autonomous workflows — swarm orchestrators, workflow engines, and durable execution substrates — plus what the context layer contributes and how these servers differ from plain tool servers.
OS-Inspired Memory for Long-Running Agents: How MemGPT's Virtual Context Architecture Works
MemGPT treats the LLM context window as RAM and external storage as disk, paging data between main context, recall storage, and archival storage through agent-directed tool calls under memory pressure — letting long-running agents exceed fixed window limits.
Building Reusable Windmill Flows: Inputs, Step Piping, and Return Values
A hands-on guide to the mechanics of Windmill flows: exposing input variables, binding step inputs to flow inputs and previous steps' results, the last-step return rule with its two exceptions, and authoring workflows as code.
Reading AI Coding Agent Benchmarks in 2026: What the Numbers Actually Measure
A coding-agent benchmark score belongs to a whole system — model, harness, and execution settings — not to the model alone. This guide breaks down the Artificial Analysis Coding Agent Index, SWE-bench Verified's grading mechanics, and the distortions that make rankings hard to read.
Four Hats, One Founder: How to Allocate Your Week When Every Role Competes
A week-by-week allocation system for solo full-stack founders: split hours across builder, marketer, seller, and operator roles by business stage, batch each role into protected blocks, and run a one-week cycle that ships something visible every Friday.
Caveman Mode Cheat Sheet: Picking the Right Compression Level for Each Task
A task-by-task cheat sheet for Caveman's compression levels: which mode to run for debugging, code review, architecture discussion, quick fixes, and subagent traffic, grounded in what each level actually drops.
Positioning Your Dataset for Discovery: A Five-Element Framework for Open-Source Branding
A five-element positioning framework — product, positioning, messaging, messenger, audience — translated into concrete Hugging Face dataset publishing decisions, from category choice and dataset cards to namespace strategy and the developer adoption journey.
Manifold-Constrained Hyper-Connections in GLM-5.3-Flash: How mHC Reshapes the Residual Stream
GLM-5.3-Flash's mHC widens the transformer residual stream into multiple parallel lanes with learned, Sinkhorn-projected mixing matrices, confining every junction to the Birkhoff polytope so deep-stack training stays non-expansive by construction rather than by luck.
MindsDB Anton Deep Dive: Sandboxed Execution, Three Memory Layers, and the Analyst's New Role
A technical walkthrough of the open-source autonomous BI agent's sandboxed scratchpad, its session/semantic/long-term memory layers, the credential vault model, and the open-source versus managed deployment split — plus how the analyst role shifts from query writer to steward and trainer.
Self-Hosting GLM-5.3-Flash: A Practical Hardware and Memory Floor Guide
A floor-by-floor planning guide for self-hosting GLM-5.3-Flash: the ~306 GiB FP8 weight budget, why two H200s still cannot serve it, KV-cache sizing at the 1M-token window, and the realistic service-layer role for a home NAS.