# developer-tools

Zed founder Nathan Sobo argues the real source of software is the ongoing conversation with your agents, not the tidy commits you slice it into. Git can't hold that flow, so Zed built DeltaDB: every operation becomes a delta with a stable identity, keeping the conversation glued to the code.

Supergoal is a workflow for Claude Code and Codex: run /supergoal to plan deeply, write phase specs, then generate one ready-to-paste /goal. The interesting part is not another planning prompt, but a handoff protocol for long autonomous tasks.

A power user analyzed 6,852 Claude Code sessions and 17,871 thinking blocks, proving with data that CC really did get 'lazier' — Read:Edit ratio dropped from 6.6 to 2.0. Then Anthropic engineer Boris Cherny explained the real reason, and how to fix it.

CLAUDE.md is a suggestion. Hooks are commands. This post covers 8 battle-tested Claude Code Hooks — from auto-formatting and blocking dangerous commands to protecting sensitive files and auto-committing. Copy, paste, done.

Figma's MCP server lets Claude Code and Codex work directly on the design canvas with your team's design system. Skills turn conventions, components, and variables from static guidelines into rules agents can actually follow.

Boris Cherny shares 15 lesser-known Claude Code features he uses every day — from the mobile app and loop/schedule to worktrees and voice input.

Why does Claude perform great in one repo and turn dumb in the next? The answer is the .claude/ folder. Akshay breaks down the full structure: three-level CLAUDE.md, custom commands, agents, permissions, and the global ~/.claude/ you probably didn't know existed.

Anthropic's Thariq shares lessons from hundreds of internal Claude Code Skills: Skills are folders, not just markdown; they cluster into nine categories; and the secret is gotchas, progressive disclosure, and descriptions written for the model.

We had Claude Opus run E2E tests on our own blog using Playwright, agent-browser, and Rodney. The surprise? The tool mattered way less than the prompt.

Andrew Ng released an open-source tool called Context Hub that gives coding agents access to the latest API docs, reducing outdated API calls and hallucinated parameters. The long-term vision: agents sharing what they learn with each other.

Hamel Husain released evals-skills, a skill set designed for AI product evaluation. It tackles the blind spots agents face during complex tasks — especially distinguishing between different types of hallucinations — so agents can actually use eval platforms effectively.

Anthropic killed third-party OAuth tokens, leaving the official Claude CLI as the way to use a subscription programmatically. This guide covers claude -p input methods, output formats, JSON schema, tool whitelisting, sessions, streaming, and wrappers.

Karpathy argues CLIs are the natural interface for agents precisely because they are legacy tech: text in, text out. His Claude Polymarket terminal demo lands the bigger question: can agents access and use your product?

Claude Code's UI change to 'Read 3 files' summaries ignited developer fury on HN: they felt the AI hid its actions. Boris Cherny responded, admitted mistakes, and shipped fixes. This revealed the core tension in AI tool design: simplicity vs. transparency.

Simon Willison argues CLI tools beat MCP for coding agents in most cases: lower token cost, no extra dependencies, and native --help affordances. Anthropic's code-execution-with-MCP proposal admits the token-waste problem too.

Steve Yegge's 'AI Vampire' theory: AI boosts productivity 10x, but who gets the 9x gain? If the company takes all, burnout. If you take all, company dies. Agentic coding is 3-4 hrs/day max. Yegge's $/hr formula: control the denominator, not the numerator.

GitHub's Agent HQ now offers multi-agent support (Claude, Codex, Copilot) for Copilot Pro+ & Enterprise users. Run multiple AIs simultaneously in GitHub/VS Code to tackle problems from different angles. Outputs become Draft PRs. A paradigm shift for code review.

Claude Code creator Boris Cherny posted a 12-tweet thread breaking down why engineers love Claude Code: extreme customizability — hooks, plugins, LSPs, MCPs, skills, custom agents, output styles, 37 settings, 84 env vars, all committable to git for team sharing.

Hook up Codex as an MCP server inside Claude Code with a single command. Why fight Codex CLI's rough edges when you can plug its brain into a better body?

Matt Pocock released git-guardrails, a Claude Code skill that uses a PreToolUse hook to intercept dangerous git commands like push, reset --hard, and clean -f. It is a practical YOLO-mode safety rail for agents in Docker Sandbox.

Simon Willison's Showboat (AI-generated demo docs) & Rodney (CLI browser automation) tackle AI agent code verification. How to know 'all tests pass' means it works? Agents were caught cheating by directly editing demo files. #AI #OpenSource

Armin Ronacher (creator of Flask, Jinja2, CTO of Sentry) argues current programming languages were designed for 'humans who type slowly.' The AI agent era has different needs. He details what agents love/hate, and why Go accidentally became the winner of the agentic coding era.

Google launched the Developer Knowledge API and an official MCP Server (Public Preview), letting AI coding tools query current Firebase, Android, Google Cloud, and Chrome docs instead of inventing APIs from three versions ago.

Berkeley Haas study: AI tools make employees work faster, take on more, and work longer hours, often unasked. Simon Willison finds LLMs draining. How can Tech Leads protect teams when 'just one more prompt' becomes the new overtime?

Anthropic just released Opus 4.6 Fast Mode — same model, 2.5x faster responses. The catch? API pricing jumps from $5/$25 to $30/$150 per MTok — a 6x increase. Boris Cherny calls it a 'huge unlock.' But when should you actually use it? Let's do the math.

Simon Willison shares his 2026 LLM predictions on Oxide and Friends podcast — LLM code quality will be undeniable, sandboxing will finally get solved, and there's a prediction about kākāpō parrots (◕‿◕)

From 80% manual coding to 80% AI agents, Karpathy calls this the biggest change in his 20-year programming career

Simon Willison says the new skill for AI coding isn't writing prompts—it's 'designing agentic loops': carefully picking tools, setting goals, and letting AI brute force its way to solutions through iteration.

When you instinctively think 'neat feature idea, but not worth the time' and then prompt Claude Code anyway — because your 25 years of intuition no longer match reality