» Tag
engineering
220 postsPreventing Context Loss in AI Agents with Two-Document Pattern
Two-document pattern for AI agents: append-only log and editable index. Prevents context loss, corrects errors.
AI Doesn't Replace Architecture — It Makes It More Valuable
AI made code generation cheap, but not the architectural decisions behind it. Why the bottleneck shifted from typing to deciding for engineers.
ATS Job API Reference: Nine Verified Applicant Tracking Systems
Verified information and documentation on API endpoints for nine applicant tracking systems.
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.comSoftware Factories: Light and Dark
Software factories are reshaping the interaction between humans and automation. An exploration of the dynamics of dark and light factories.
Optimizing a[mask] = f(a[mask]) on NEON for Better Performance
New methods for optimizing condition-based operations on NEON. Key insights for developers.
One of 1190 AI agent closing statements reports failure
A study shows that only one of 1190 AI closing statements reports failure, raising concerns about reliability for engineers.
Power Coding: A Framework for AI-Assisted Application Development
Anand Pareek's Power Coding framework enhances AI coding project success by addressing five key forces.
AI-Native Delivery: Where to Spend Judgement Effectively
An exploration of structuring AI tool usage to preserve human judgement in engineering.
Why AI-Assisted Projects Fail: Insights from Recent Deliberations
Exploring the reasons behind failures in AI-assisted software projects during integration.
Making LLM Extraction Trustworthy Enough to Act On
Honeycomb addresses the verification processes needed to enhance LLM extraction trustworthiness.