The First Fifteen Minutes: One Preflight, One Fix
The thing that decides whether a new AI coding setup survives contact with a real repo is almost never the model — it is whether the first fifteen m…
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The Portability Audit Take-Home: Grade Environment Assumptions, Not Features
A take-home that runs on the reviewer's laptop grades features; a take-home that runs anywhere grades engineering discipline. The task below asks a…
Hermes Agent v0.22.0 The Threshold Release คืออะไร? รุ่นใหญ่ที่สุดของ AI agent ที่โค้ดหดลง 34%
Hermes Agent v0.22.0 The Threshold Release คืออะไร? รุ่นใหญ่ที่สุดของ AI agent ที่โค้ดหดลง 34% โดย Nokka (นก-กา) | 17 ตุลาคม 2026 บทความนี้เขียนโดย…
AI review benchmarks score the bot. Nobody scores the reader
This week GitHub published ReviewBench , an open benchmark for AI code reviewers. It is careful work: 219 pull requests from 187 open-source reposit…
How do you know Claude Code actually loaded your skill? We stopped trusting 'I read it' and check the transcript
Three of our agent's project skills are supposed to be loaded on every full run. Since 2026-09-24 we no longer take the agent's word that it loaded…
Automation Runbooks Need a Dry-Run Contract
Automation is at its best when it removes a repetitive decision. It is at its worst when nobody can tell what it was about to do. That gap usually a…
Action Scaling at the Harness Boundary Beats Trajectory Re-Runs
If you run terminal agents on real tasks, you know the exact point where a run dies. It is rarely a failure of high-level reasoning. The agent knows…
Your pull request review time is mostly waiting and rework
Time to merge is the number teams quote when they say AI review sped things up. It bundles at least three separate costs, and reading the diff is on…
25 of 26 rules in a 755-line AGENTS.md changed nothing
I keep seeing teams treat their AGENTS.md like a config file: write the rules once, assume the agent obeys. So I went looking for anyone who actuall…
The Price Tag Is Not the License
Downloading an icon is easy. Understanding what you are allowed to do with it six months later is much harder. A developer finds an SVG, downloads i…
Building ShipCheck: a static preflight scanner for Unity projects
How I went from noisy project scanning to shipping graphs, confidence-aware readiness, and legacy Unity support. Building ShipCheck: a static prefli…
Does a line in auto memory steer the next session like CLAUDE.md does? 3 of 4 runs vs 4 of 4, and 0 of 4 with neither
A one-line fact stored in Claude Code's auto memory was applied on the first attempt in 3 of 4 fresh sessions (and after one failure in the 4th). Th…
5 failure modes of autonomous coding agents and how to catch them
Autonomous coding agents look great in demos. They read a ticket, write code, run tests, open a PR. Then you put one in a real repo with real creden…
The missing layer in AI tooling: sharing what your assistant already knows
It took my AI months to learn how I think, code, and ship. When a teammate joined the project, their AI started from zero — same codebase, same conv…
PI-Desktop: A local-first workspace for AI coding agents
I wanted a place where an AI coding session could keep its context instead of starting from a blank terminal every time. That is the idea behind PI-…
Introducing mvnex v0.1.0: A Native CLI for Faster Maven Workflows
I've been working on a small open-source project called mvnex, a CLI that tries to make some everyday Maven tasks a little more convenient. The goal…
Developer Tools Beyond IDEs: 10 Systems for Modern Architectures
Developer Tools Beyond IDEs: 10 Systems for Modern Architectures Integrated Development Environments (IDEs) are architecturally constrained to singl…
Your coding agent remembers more than MEMORY.md — so I built a local inspector for it
I've been using AI coding agents heavily, and I kept running into the same problem: Useful context doesn't live in one place A coding agent may have…
How to Stop Cursor and Copilot from Turning Your Codebase into Spaghetti
AI coding assistants like Cursor, GitHub Copilot, Claude Code, and Windsurf have completely revolutionized developer velocity. Being able to scaffol…
Claude 3.5 Sonnet is more than an upgrade. It’s a new workflow.
Anthropic just shipped Claude 3.5 Sonnet, its first model in the new 3.5 series. It’s faster and cheaper than Opus, and outperforms it on several ke…
I Built Markups: A Free, Open-Source Markdown Editor That Doesn't Need an Account
Markdown is one of those formats developers end up using almost everywhere. README files. Documentation. Architecture notes. API docs. Project speci…
Catch broken environment, import, and route connections with Weftgate
I maintain Weftgate, an open-source verification gate for coding agents. It checks environment-variable reads, dependency imports, and FastAPI route…
The reply-length check existed for three weeks. The batch a human flagged never touched it: guarding the wrong path
On 2026-09-05 the owner of our shop looked at three replies the agent was about to send and asked a question no test had asked: why are these all th…
Auto memory on 21 projects: 17 empty, and 3 repos learned the same fix separately
Claude Code's auto memory is on by default and writes to a per-repository directory you probably have never opened. On one machine with 21 such dire…
We measured where unattended Claude Code jobs fail: 46 of 72 were the git push
We keep a ledger of every failure from our scheduled agent jobs. It has 72 entries, and 46 of them happened at the git push step — not in the model,…
Meet PATerminal: a terminal app from Japan for Claude Code, Codex, and parallel AI work
I'm a software engineer based in Japan. The progress of LLMs and tools like Codex and Claude has been remarkable, and I built PATerminal to help tur…
How a Ticket System Became My Agentic AI Lab
What does an AI coding agent need in order to be useful in a real software project? Not a toy repository. Not a greenfield demo with a single happy…
sofka Under Real Workloads: The Generic Kubernetes Pipeline Nobody Mentions
Executive Summary : Architectural analysis and production runtime telemetry of nklmilojevic/sofka , evaluated across B-Lost high-throughput infrastr…
Harness Score 1.6.4: Safer Scans, Broader CI, and Trustworthy Docs
AI coding agents do not work in a vacuum. Their results depend on the context files, rules, skills, hooks, tests, CI pipelines, and safety controls…
Stop Being Your Agent's QA: A Skill That Makes AI Coding Agents Prove Their Work
Every AI coding session ends the same way: the agent says "Done ✓" — and you spend the next 30 minutes manually clicking through everything to find…