debugging

A non-engineer shares that the biggest pitfall in AI-assisted 'vibe coding' isn't prompting but verifying whether an AI fix truly solves the root cause or just patches a specific case, leading to fragile code. Offers practical tips like asking if a fix is general or special-cased, and maintaining a living design doc.

The author shares an agent-design-review Skill for systematically diagnosing and optimizing Agent architectures, covering Prompt, tool permissions, context, security, memory, evaluation, cost, observability, and more, and outputting evidence-based P0/P1/P2 issues to help avoid common pitfalls.

A developer recounts a three-week production bug where a regex with a literal backspace character silently disabled a language-detection guardrail, making the LLM appear flaky. The post highlights the need to instrument deterministic guardrails to distinguish them from model nondeterminism.

A developer describes how an AI agent wrote a Stripe handler that double-provisioned customers on webhook retries, and how using FetchSandbox MCP to simulate retries helped catch and fix the idempotency bug.

httptap is a Python CLI that dissects HTTP requests into phases like DNS, TCP, TLS, and data transfer to generate detailed waterfall timelines for troubleshooting and performance analysis.

Jolt, a Lisp/Scheme language, recently added two features: program images in the style of Common Lisp and Smalltalk for full-state serialization and debugging, and a portable Scheme backend decoupled from the Chez runtime for architecture-agnostic portability.

This article investigates a LuaJIT pitfall where a Not Yet Implemented (NYI) operation like unpack silently causes trace blacklisting, leading to a 20x benchmark slowdown, and offers ways to guard against it in CI.

GraphARC is an open-source MIT tool that uses a local 8B model (qwen3:8b) to plan and execute multi-node investigation graphs for root-cause analysis, with a deterministic admission gate enforcing policy and budget checks. It provides live browser views, append-only JSONL audit trails, and supports Ollama, OpenRouter, OpenAI, or Claude via CLI.

VeriTrace, a multi-agent system for automated Verilog RTL generation, introduces Agentic Temporal Exploration that gives debugging agents full control over signal selection, time windows, and iteration depth, achieving 100% Pass@1 on VerilogEval-V2 and outperforming baselines by +5.1%.

The author built Agent DevTools, a local debugger for AI agents that inspects prompts, memory, retrieval, and tool calls, with LangChain support and a free Groq demo.

A guide on distinguishing whether latency in voice agents stems from the model or the network, helping developers identify bottlenecks.

Pinterest Engineering shares a detailed investigation into CPU bottlenecks and network driver issues causing Ray-based training jobs to crash on their Kubernetes platform, offering lessons in profiling performance problems.

The author explains why a customer's PDF bank statement showed all amounts as negative: the PDF encodes invisible trailing minus signs in a gray level matching the background, which the extraction code reads as visible text. They discuss solutions like OCR or stripping non-black text.

The article recounts an incident where an AI assistant wrongly confirmed a service, and troubleshooting revealed that knowledge base retrievals weren't logged, making it impossible to attribute answers to retrieved context. It emphasizes the need for turn-attributable retrieval logging for grounding verification.

witr is a tool that helps developers trace what process, port, container, or file is causing an issue, launched on Product Hunt.

NVIDIA shares debugging lessons from its Exemplar Cloud program, detailing how configuration issues in SMMU power management, NUMA placement, NCCL queue-pair concurrency, and hardware defects cause 8-12% training throughput gaps on AI clusters, and how to diagnose and fix them.

A blog post reveals a memory over-allocation bug in Zig's std.Io.Writer.Allocating due to the `drain` function incorrectly reserving space for the splat parameter on every data slice, causing unexpected memory growth.

pytest-leak-finder is a pytest plugin that uses binary search to identify which earlier test causes a later test to fail when run together.

A developer details how their AI agent's silence was caused by safety guards failing closed, timeouts, and nested JSON issues, emphasizing that silent failures are worse than wrong answers in customer-facing chatbots.

A developer reflects on how AI coding tools boost productivity but may hinder deep learning, as users ship code they don't fully understand, raising questions about skill development.