debugging

The author discusses the challenges of debugging AI agents, emphasizing observability issues and questioning current evaluation methods in production.

A developer discusses the lack of suitable observability tools for AI agents, expressing disappointment with existing solutions like Opik and hoping for a service that supports OpenTelemetry for analyzing agent sessions and failure modes.

The Rust debugging survey 2026 results reveal that over half of Rust developers do not currently use debuggers, with print debugging and the dbg! macro being the most common methods.

ESP32 Bit Pirate is an open-source hardware debugging ecosystem for ESP32-S3 boards, providing firmware, browser-based tools, and documentation for multi-protocol hardware hacking and development.

The author accidentally developed a local retrieval tool for debugging in agentic AI software that efficiently narrows down code functions to find bugs, and is seeking more testing ideas to validate its effectiveness.

A developer describes debugging a complex bug in an ARM64 bare-metal hypervisor for postmarketOS, involving instruction cache coherence issues and hardware-specific behavior related to the NX bit.

The article argues that simplicity in software design is distinct from smallness, using Unix and Clojure examples to show how simple systems can become complex when changes are made.

LangChain Academy introduces a free course on LangSmith Essentials to teach the essentials of the LangSmith platform for agent engineering, including tracing, debugging, and deployments.

The article describes a debugging scenario where a progress callback in a C#/C++/WinRT application wasn't triggered due to an intermediate method not reporting progress, and proposes a solution to bypass the middleman.

The author shares personal experience showing how LLMs like Qwen 27B drastically reduce programming task time, offering rules of thumb for model selection.

Go 1.27 introduces a goroutine leak profiler to accurately detect and prevent goroutine leaks in running programs, including production systems, with minimal false positives.

The article explains that AI agents often get stuck in loops due to the stateless nature of models and transcript patterns, not because the models are dumb, and suggests fixes like hard budgets and fingerprinting to break the cycle.

The article describes how switching a BPF program to use BTF-generated vmlinux.h caused incorrect IP checksums due to Clang's Type-Based Alias Analysis optimization, and details the debugging process through assembly inspection.

The article introduces Trace Engineering as a formal architectural approach to enhance observability in autonomous AI agent systems, differentiating it from logs and trajectories to enable better debugging and reliability.

LangSmith revealed that PodiumHQ's AI agents were acting rationally based on context, contrary to initial perceptions of being broken. Principal Software Engineer Walker Ward discusses tracing agent reasoning end to end.

The article argues that multi-agent systems are often overused in AI applications, suggesting that a single agent with good tools, strict state, and clear stop conditions can be more efficient, easier to debug, and cost-effective for many workflows.

LangSmith enables centralized tracing of agent decisions, improving debugging efficiency as demonstrated by Morningstar Inc's senior software engineer.

A historical account of a sporadic bug in Word 97 caused by a CPU erratum, resolved through binary patching to minimize risks during the release cycle.

The article argues that the debate around AI in programming misfocuses on code authorship; the real risk is outsourcing understanding, which can create an illusion of competence without developing system intuition.

The author built a unified workspace tool for debugging multi-agent AI systems, tracking agent state and loops with automated detection of infinite tool loops and context inflation.