As a developer (or human) - No matter how careful you are, you will make mistakes
+ Coding conventions help us avoid common mistakes
+ Code reviews help us find mistakes
+ Static code analysis tools detect potential mistakes
(1 of n)
@plainionist Absolutelt Yes. Ch1 is non-negotiable because it touches ownership and accountability. ch2,3,4,7,8 are a must read (just to know readability basics and defensive programming core concepts). Maybe skip ch 11 and ch15 because they are heavily based on java examples.
The best way to manage AI context is to treat everything like a file system.
Today, a model's knowledge sits in separate prompts, databases, tools, and logs, so context engineering pulls this into a coherent system.
The paper proposes an agentic file system where every memory, tool, external source, and human note appears as a file in a shared space.
A persistent context repository separates raw history, long term memory, and short lived scratchpads, so the model's prompt holds only the slice needed right now.
Every access and transformation is logged with timestamps and provenance, giving a trail for how information, tools, and human feedback shaped an answer.
Because large language models see only limited context each call and forget past ones, the architecture adds a constructor to shrink context, an updater to swap pieces, and an evaluator to check answers and update memory.
All of this is implemented in the AIGNE framework, where agents remember past conversations and call services like GitHub through the same file style interface, turning scattered prompts into a reusable context layer.
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Paper Link – arxiv. org/abs/2512.05470
Paper Title: "Everything is Context: Agentic File System Abstraction for Context Engineering"
@unclebobmartin Well, that reckless junior developer of yours has a great guard rail to keep him on track... That's the power of a good acceptance test suite. I have seen great results of complete rewrites using this approach. Does it mean that acceptence tests are more valuable than the code?
Spent last night at a Tech Leads IL meetup asking: Does AI boost or hurt dev productivity?
Came looking for the 10x engineer — left realizing we need a new Engineering model.
Not more AI tools, but better problem framing, guardrails, context management and ownership.