#async coding agent
323 related articles
·2 min
GPT-5.6 Launches With a Warning: Compute Capacity Is the Real Test for Large Language Models
Altman warned of possible GPT-5.6 service disruptions at launch, highlighting compute capacity as the true bottleneck for LLMs. Here's what it means for users.
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·3 min
AI Testing End-to-End in Practice: A Complete Guide from Test Case Generation to Agent Automation
A deep dive into AI testing workflows: API capture, test case generation, Agent orchestration, and automated execution. Learn the two core challenges — incomplete information and mandatory human review.
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·2 min
GPT 5.6 Three-Version Benchmark: What Makes Sol, Terra, and Luna Worth the Price Difference?
GPT 5.6's Sol, Terra, and Luna tested across 108 engineering checks. Backend scores tie between Sol and Terra — the real gap is in frontend and packaging delivery.
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·2 min
Building a Slack-Native Coding Agent: Architecture Design and Engineering Methodology
A deep dive into embedding a coding agent in Slack: core architecture, permission design, async task handling, and RAG context management for AI-powered dev workflows.
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·2 min
Carmack and Sutton's First Paper: How Physical Atari Challenges Real-Time Reinforcement Learning
Keen Technologies releases its first paper, bringing classic Atari benchmarks into the physical world via robotic arms and cameras. A deep dive into the paper's core claims, sim-to-real challenges, and Carmack and Sutton's vision for embodied RL and AGI.
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·4 min
Two Paths to Better AI Reasoning: Test-Time Scaling and Formal Verification
This article synthesizes two MSR India Summit talks, exploring two key paths to better AI reasoning: test-time scaling with variable granularity search, and a formal verification framework for trustworthy agent execution.
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·2 min
Codex Joins ChatGPT: How GPT-5.6 Is Redefining the AI Assistant Experience
OpenAI merges Codex into ChatGPT and launches GPT-5.6. Discover how proactive task planning, cross-device coordination, and autonomous agents are redefining AI assistants.
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·4 min
From 50% to 92%: A Practical Methodology for Teaching AI Agents to Master Spreadsheets
An engineering team spent four months raising an AI coding agent's spreadsheet accuracy from 50% to 92%. Deep dive into REPL architecture, validation loops, and domain knowledge injection.
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·3 min
Claude Code for Test Engineers: 8 Practical Tips to Genuinely Boost Testing Efficiency
How can test engineers truly boost productivity with Claude Code? This guide covers test Skills, Hooks automation, MCP integration, and two hands-on cases you can use today.
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·6 min
OpenAI Merges ChatGPT and Codex: The Super App for the AI Agent Era Is Here
OpenAI merges ChatGPT and Codex into a super app and releases three new GPT-5.6 models: Sol, Terra, and Luna. A deep dive into four hands-on workflows—Computer Use, Loops, and multi-threading—for the AI agent era.
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·2 min
Hombre: An Open-Source Visual Dashboard for Honcho AI Memory Server
Hombre is an open-source web GUI for self-hosted Honcho AI memory servers. Features workspace management, semantic search, real-time sync, and RBAC — built with FastAPI and native frontend, MIT licensed, Docker-ready.
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·4 min
Claude Code vs. Codex vs. Cursor: A Deep Comparison of Three AI Coding Tools
Claude Code, Codex, or Cursor? This in-depth comparison covers each tool's positioning, ideal users, and how to combine them for maximum productivity in your AI coding workflow.
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·5 min
Practical AI Cost Optimization: A Deep Dive into Intelligent Routing and Context Compaction
AI bills keep soaring? This article breaks down two core cost-reduction strategies: intelligent routing via an LLM Gateway, and context compaction to cut Token usage—no major refactoring needed.
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·6 min
A Deep Dive into AI Agent Harnesses: The Core Engineering Behind Agent Frameworks
What is an AI Agent's harness? This article systematically dissects the core components of agent frameworks: context management, tool use, control loops, and caching strategies—revealing why the same model performs so differently across harnesses.
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·5 min
OpenAI GPT-Live Full-Duplex Voice Model: Reshaping the Human-Computer Interaction Gateway
OpenAI unveils GPT-Live, a full-duplex voice model with real-time interruption, tiered compute routing, and dynamic UI rendering—surpassing Siri and targeting the OS-level voice gateway.
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·4 min
OpenAI GPT-Live Voice Model: How Full-Duplex Interaction Reshapes Human-AI Conversation
OpenAI unveils the GPT-Live voice model family, with full-duplex interaction enabling AI to listen and speak simultaneously and delegate complex reasoning to GPT-5.5. GPQA benchmark jumps from 45% to 80%.
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·4 min
100,000 Lines of Code in 7 Days: A Solo Developer's Hands-On Guide to AI-Assisted iOS Development
A solo developer iterated an iOS app to 100,000 lines of code in 7 days and shipped it. This article breaks down the core methodology: delegate the frontend to AI, control the backend by hand.
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·7 min
Building AI Agents in Rust: The GAIA Benchmark Reveals the Capability Ceiling of Large Models
A Rust-based AI Agent evaluation framework uses the GAIA benchmark to compare GPT, Claude, DeepSeek and other models with no tools. Results show pure LLMs cap at ~25% accuracy, revealing why tool use is decisive for Agents.
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·5 min
Getting Started with LangChain: LLM Invocation, Agent Practice, and Environment Setup Guide
Starting from the three limitations of LLMs, this guide systematically explains LangChain's core positioning, environment setup, API key prep, model init, and the message system. Learn init_chat_model and AIMessage/HumanMessage/SystemMessage.
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·4 min
How Background AI Agents Can Automatically Maintain All Your Repositories on a Schedule
OpenInspect's Multi-Repo Automations lets AI coding agents maintain up to 10 repositories on a schedule simultaneously — isolated sessions, independent PRs, and fault-tolerant execution for security sweeps, dependency upgrades, and framework migrations.
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