Tag
A reflection on how AI agents often confuse 'error cleared' with 'task actually resolved', and the need for a structurally different second validation step to catch masked failures.
Asks how developers budget agent retries to distinguish transient failures from persistent ones, and what signals best decide when to stop or retry in production agents.
Soppo is a new programming language that extends Go with enums, pattern matching, a '?' error propagation operator, and compile-time nil safety, while maintaining full interoperability with existing Go code and tooling.
A video transcript discussing how to avoid panics in Rust by using combinators and the Result type instead of unwrap, explaining the three typical crash causes and emphasizing writing robust code.
A technical discussion about EPIPE errors on write, suggesting that encountering EPIPE often indicates a design issue in how the program handles broken pipes.
A developer reflects on an AI automation project that achieved 95% accuracy but still required full human review, leading to a redesign that routes uncertain outputs to a review queue and saves time overall.
The article discusses the difference between retrying a failed agent step and safely resuming a multi-step run, emphasizing that they are not equivalent operations.
Technical article discussing the importance of retry logic when agent actions time out, highlighting a common pitfall in agent-based systems.
Discusses the debate on whether libraries should log errors themselves or propagate them to the calling application, highlighting differing practices across ecosystems like Go's slog.
A discussion on real-world problems when AI agents can spend money, such as double payments from retries and expired guardrails, asking for practical experiences.
The article discusses different error handling patterns in Rust, including panicking, using Option, Result, and default recovery, and proposes a novel approach to error handling beyond simple propagation or recovery.
This article presents techniques and a library for deferring error handling in Rust during development, allowing developers to temporarily downgrade errors to warnings to maintain productivity without sacrificing correctness.
The article contrasts Python and Rye scripts for downloading a PDF, highlighting how initial elegant code makes many assumptions about success. It then demonstrates adding validation, which reduces readability but improves robustness.
This article addresses the common Rust error when using a function that returns a Result within a map closure, and provides multiple solutions: collecting results, using a loop, filter_map, and try_fold.
A practical technique for improving structured output generation from LLMs by feeding validation errors back into retry prompts, allowing the model to self-correct rather than blindly retrying. The method involves describing the error in model-friendly terms and providing the previous output for editing.
Explores how AI agents should handle failures when third-party services go down during a workflow, highlighting the need for robust error handling in autonomous systems.
This article delves into the differences between C in the Linux kernel and ordinary userspace C, covering core techniques such as resource management, error handling, concurrency, logging, static analysis, and extensively using GNU C extensions and kernel-specific patterns.
A blog post discussing how excessive nil pointer checks in Go can indicate unclear code and poor error handling practices, advocating for early failure and explicit modeling of unavailable dependencies.
The author contrasts polished AI agent demos with the reality of production systems, noting that most agent code is for error handling and guardrails rather than the core intelligence.
A developer recounts how their automated pipeline silently skipped failed API calls due to rate limiting, producing seemingly successful runs with empty data. They discuss the trade-off between retrying and hard-failing, and ask the community for best practices in agent error handling.