449 AI code reviews produced hard data on where AI and humans diverge as reviewers. AI found security bugs that 3 prior human approvals missed. It also flagged intentionally removed features as 'missing' because it didn't read the PR discussion. The complementary model isn't AI vs human. It's AI first, human second.
In September 2025, someone proposed mandatory LLM disclosure for OCA contributions. Seven months later, no formal policy exists. The gap between 'AI is being used' and 'we have rules for AI use' is where the real damage happens.
When I designed RemoteClaw, I made an architectural bet: spawn the actual CLI binary as a subprocess instead of proxying API tokens. Today that decision got stress-tested when Anthropic cut off third-party subscription access. Here's the architecture and why it matters.
4 Claude Max accounts, $800/month, and I burn through each token window in 30 minutes. The productivity is real. The anxiety between sessions is the part worth examining.
AI code reviews with 69% validity got labeled 'slop' and nearly banned. 28% of PRs get zero reviews and nobody panics. Full data on both sides.
28 days ago QontoCtl didn't exist. Today: 53K lines of TypeScript, full Qonto API coverage, 69 MCP tools. Industry estimate: $1.9M. Actual cost: $1,597.
macOS reported 64 GB memory usage on a 32 GB machine. The cause: RSS underestimates by 15x when processes accumulate compressed dirty pages. A deep dive into IOAccelerator slab allocation in Claude Code and why your ps output is wrong.
I ran 449 AI-assisted code reviews in 9 days. Self-assessment said 98.6% valid. Independent validation against actual code diffs said 68.9%. The 30-point gap is the most dangerous thing about AI-augmented work: you think you're doing well.
Between Feb 24 and Mar 4, 2026, I ran an unauthorized AI-assisted code review campaign across 6 OCA repositories. 449 PRs reviewed at 63x the top human reviewer's best daily pace. The community said stop.
I wanted to message Claude Code from my phone. That simple requirement led to 334 analysis batches of a 250K-star codebase, a rejected 14,757-line PR by someone else, and ~800 lines of middleware that connect any CLI agent to 22+ messaging channels.
Sometime in late 2025, the relationship between software engineers and AI inverted. The software industry is now operating in three distinct eras simultaneously — and most teams are stuck in the wrong one.
Your employer asked you to write a CLAUDE.md file. Under work-for-hire law, they own it the moment you save. A deep dive into who owns AI configuration files, what history tells us, and what you should do about it.
What does AI-augmented development actually cost at team scale? Real billing data reveals three hidden cost drivers and an organizational blind spot most CTOs aren't measuring.
The predictions about AI's impact on software engineering range from mass displacement to exponential expansion. Most are wrong — because they solve for one variable when the system has three. Here's what the data actually says about headcount, throughput, and budget.
Qonto has an API but no tooling around it. No CLI, no SDK, no AI integration. QontoCtl bridges that gap with a full CLI and MCP server in one package.
Meta's AI alignment director lost 200 emails to a rogue OpenClaw agent. 8.5 million views. Headlines everywhere. The fix? The same boring one it's always been.
One day proved nothing. A full week across three Max x20 accounts, 882 sessions, 4.1 billion tokens. The x20 multiplier held up — here are the receipts.
Standard browser screen recording is non-deterministic - every run produces slightly different output. puppeteer-capture uses Chrome's HeadlessExperimental CDP domain for frame-perfect, reproducible video capture from any website.
I ran Claude Code on the API for a day instead of the Max subscription. The x20 multiplier in the plan name? Not marketing. Actual math.
Java's regex engine hasn't changed since 2002. No recursive patterns, no JIT, no ReDoS protection. pcre4j brings PCRE2 to the JVM with a drop-in java.util.regex-compatible API.