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engineering
259 postsPower 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.
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.comMaking LLM Extraction Trustworthy Enough to Act On
Honeycomb addresses the verification processes needed to enhance LLM extraction trustworthiness.
Genesys: Open Source Causal Graph Memory for AI Agents
Genesys is an open-source project offering a causal graph and scoring engine for AI memory management.
Trie-Based Memory Efficiency for Long-Context Compression
SALT compresses long documents for language models, reducing memory and compute time.
End-to-End Arguments in System Design
End-to-end arguments question the reliability of operations in system design, providing valuable insights for engineers.
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.
I Filed a Critical Bug Against My Own Tool
I reported a critical bug in my own tool, only to discover my root cause was wrong.
Engineering Guide to Implementing Outcome-Based Pricing
Technical guide for engineering leaders on outcome-based pricing for AI agents.