# agentic-coding

Chapter 3 of Simon Willison's Agentic Engineering Patterns: the Linear Walkthrough pattern. This technique transforms even vibe-coded toy projects into valuable learning resources. Core trick: make the agent use sed/grep/cat to fetch code snippets, preventing hallucination.

Cloudflare engineer Steve Faulkner used Claude to rebuild 94% of the Next.js API in a week for $1,100. The secret was Next.js's public test suite as spec. When tldraw moved 327 tests private afterward, open source's rules changed.

Andrew Ng says he has not only stopped writing code, he has long stopped reading generated code. He now directs agents at a higher abstraction layer and sees X Engineers emerging inside business functions. A radical programming forecast from AI's most influential educator.

Anthropic acquired Vercept, bringing in R-CNN inventor Ross Girshick and cofounders Kiana Ehsani and Luca Weihs to push Claude's Computer Use toward human-level computer operation. OSWorld gains and UiPath's drop show RPA investors noticed.

Anthropic's Claude Cowork enterprise update adds industry plugins, private marketplaces, new connectors, and Excel + PowerPoint workflows. The market signal changed too: instead of crashing software stocks, partnerships lifted Salesforce, Thomson Reuters, and FactSet.

The Atlantic argues Americans now live in parallel AI universes: the public still sees ChatGPT, while tech workers have been radicalized by Claude Code and Codex. If coding was the preview, the broader workforce may be next.

Simon Willison launched Agentic Engineering Patterns, a playbook for coding agents like Claude Code and Codex. Lesson one: writing code got cheap, but good code remains expensive. Lesson two: red/green TDD is the six-word spell.

Fintool founder Nicolas Bustamante runs a six-person company through Agent + API integrations across Brex, QuickBooks, HubSpot, and Stripe. His B2A warning: SaaS without good APIs will be bypassed by agents through WebMCP or browsers.

Claude Code creator Boris Cherny declares coding 'practically solved,' predicts the 'software engineer' title will fade in 2026. He shares 3 team principles: let Claude do it, underfund to force AI adoption, and go faster.

Claude Code CLI now includes first-class Git worktree support via `--worktree`. Teams can run multiple isolated AI coding sessions in parallel without file collisions, making multi-agent workflows more reliable and easier to standardize for real engineering teams.

Epoch AI's SWE-bench Verified v2.x aligns model scores with developer reports. Key lesson: benchmark outcomes are heavily influenced by scaffold/tooling quality, environment reliability, and evaluation settings, not just base model capability.

Google announced Gemini 3.1 Pro preview with stronger core reasoning and a verified 77.1% on ARC-AGI-2. The real engineering question is whether the model can handle complex multi-step production workflows, not just win benchmarks.

Peter Steinberger shares a high-scale PR triage workflow: run 50 Codex agents in parallel, emit structured JSON for every PR, then consolidate in one large-context session. Clean reports can beat premature vector database architecture.

Liquid AI's LFM2.5-1.2B-Thinking (1.17B param, 32K context) runs on-device (<1GB mem). Claims to match/beat Qwen3-1.7B on reasoning, with faster decoding & fewer tokens. Strong for tool-calling/data extraction, but weaker on knowledge-heavy tasks.

Anthropic & Infosys partner to integrate Claude/Claude Code with Infosys Topaz. This moves beyond chatbot demos to governance-ready enterprise agents for telecom, finance, manufacturing, and software dev, handling complex tasks like compliance, risk, and legacy modernization.

Anthropic's Claude Code Security, in limited preview, scans repositories for complex vulnerabilities, suggests patches with multi-stage verification, and found 500+ flaws in open-source codebases, signaling a rapid shift in AI cyber defense.

Karpathy used Claude Code to build a custom dashboard in 1 hr, reverse-engineering a treadmill API. He believes AI-native sensors & LLMs will enable highly custom, ephemeral apps, rendering the App Store model obsolete. The ultimate goal: 1-min app creation.

SWE-bench: Claude Opus 4.5 (76.8%) unexpectedly beat 4.6 (75.6%) for #1. MiniMax M2.5 tied for #2 at 1/20th Opus's price, with 4 Chinese models in top 10. GPT-5.3-Codex missed due to no API. Bonus: Claude for Chrome to add chart labels.

Ethan Mollick's game-changing AI framework: Model, App, Harness. The same AI (e.g., Claude Opus 4.6) performs vastly differently across layers. Mollick used Claude Code to turn GPT-1's 117M weights into 80 books in ~1 hour, selling out immediately.

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.