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CODING AGENTS

30 items

30 posts

Blog
What Is an Agent Harness? A Developer's Map for 2026

An agent harness is everything around the model: loop, tools, context, sandbox. How Pi, DeepSeek, Codex and Claude Code differ, and how to choose.

Blog
Pi 1.0 Release Guide: MCP, Codemode and Pi Durable

Pi 1.0 adds built-in MCP through Codemode, a fullscreen TUI by default and Pi Durable. What changed, how to install it, and what breaks on upgrade.

Blog
Diffs vs Whole Files: What Code Editing Agents Should Rewrite

A new code-editing paper finds full-file generation beating iterative diff edits on Flutter/Dart tasks. The useful takeaway is not to abandon diffs, but to route by task locality.

Blog
Coding Agents Tripled PRs. Total Dev Time Still Went Up

Linear's August 2026 usage data shows teams connected to a coding agent went from 21 to 65 weekly PRs in two years while teams without one moved from 8 to 10. Yet total product-development time rose, and LinearB's benchmark finds AI-assisted PRs merge at less than half the rate of human ones.

Blog
fx in Practice: Setup, Scripting, and Subagents

Vercel Labs' fx installs as a 7.8 MiB Zig binary and runs as a shell-like CLI, a JSON script endpoint, an ACP server, or an embeddable WebAssembly module. Here is the verified setup path, the three auth routes, and the workflows each surface unlocks.

Blog
fx Deep Dive: Inside Vercel's Tiny Native Coding Agent

fx is Vercel Labs' experimental coding agent written in Zig: a roughly 6 MiB native binary built to be embedded anywhere from CI sandboxes to the browser. We read the source, the docs, and the launch thread so you can decide fast.

Blog
fx vs pi: Is Minimal the New Big for Agentic CLIs?

Two minimal coding agents are taking swings at the platform era, but they minimize opposite things: pi refuses features, fx shrinks the bytes. Placing both on the harness spectrum against Claude Code and raw shells shows who each bet is actually for.

Blog
pi Deep Dive: The Minimal Architecture Behind 95,000 GitHub Stars

How a one-developer protest against bloated coding harnesses became a 95,000-star agent toolkit: pi's five-package architecture, branching JSONL session trees, four run modes, and the philosophy that refuses to build sub-agents, plan mode, or MCP.

Blog
GitHub's August 17 Outage: Agent Fleets Need a 4-Hour Local Fallback

The August 17 GitHub outage lasted 7 hours 47 minutes and disrupted PRs, Actions, APIs, and Copilot. If your coding agents treat GitHub as the control plane, you need a local fallback that can keep shipping for four hours.

Blog
Grok 4.6: xAI's Agent-Focused Update Matches GPT-5.6 Sol at the Same $2/$6 Price

xAI shipped Grok 4.6 on August 12, 2026: it matches GPT-5.6 Sol on the AA Intelligence Index (61), beats it on CursorBench 3.2, and keeps Grok 4.5's $2/$6 per million token pricing. Available in Cursor and Grok Build today, and in OpenCode as opencode/grok-4.6.

Blog
CLAUDE.md Files Never Stop Growing: A New Paper Names the Mechanism

A study of 247,694 instruction lifetimes in 1,867 repositories shows agentic prompt files grow +226% on average because the reasoning behind each rule decays. Comments encoding that reasoning remove 99.3% of the excess.

Blog
The $44 Compiler: Persistent Projects Beat Persistent Agents

EvoX Genesis built a 250k-line Rust C compiler with DeepSeek V4 Flash for $44 in tokens by making the project the persistent thing and keeping agents finite-lived. The paper's three runs, the design that made them possible, and what it says about agent memory.

Blog
Hermes Agent Gains Vercel AI Gateway and Sandbox Backends: The Agent Stack Goes Plug-and-Play

Vercel added Hermes Agent to AI Gateway and made Vercel Sandbox a terminal backend for the open-source agent. Hermes is now fully BYO: your own model routing through 200+ models at no markup, and your own cloud microVM for every agent command. Here is what that unlocks and why the agent control plane is consolidating.

Blog
The Harness Is the New Cost Lever: Databricks' Benchmark and Pi's Context Discipline

Databricks measured the same model through different coding harnesses and found cost per task varied more than 2x at identical quality. Pi's minimalism explains why: roughly 1k tokens of system prompt and 3x less context per turn.

Blog
Prime Agent: A Self-Improving Coding Harness Where Everything Is Python

Prime Intellect open-sourced Prime Agent on August 5, 2026. It gives the model exactly one tool - a persistent IPython kernel - and lets the harness rewrite its own prompts, skills, memory, and sub-agents mid-run. Here is how it works, what the benchmarks actually show, a full provider and model guide, and an honest comparison to Claude Code, Codex, OpenCode, OpenClaw, Hermes, and Pi.

Blog
AGENTS.md Configuration Smells: 91% of Popular Repos Get One of Six Wrong

A SCAM 2026 study of 100 top-starred repos catalogs six configuration smells in AGENTS.md and CLAUDE.md files: Lint Leakage in 62%, Context Bloat in 42%, Skill Leakage in 35%. Only 9 of 100 files were smell-free.

Blog
Entire Distributed Git Network: A Developer Guide to the Ex-GitHub CEO's Agent-Era Platform

How to set up Entire's regional Git mirrors for AI coding agents. Covers installation, mirroring, integrations with Claude Code, Codex, Cursor, and Factory AI.

Blog
Microsoft's CLI Coding Agent Study: The Rollout Pattern Teams Should Copy

A Microsoft field study found that CLI coding-agent adoption spreads through peers and managers, while adopters merged roughly 24% more pull requests. The lesson is not to buy more seats. It is to instrument rollout, retention, cost, and review quality from day one.

Blog
Grok 4.5 for Developers: What Changed and When to Pick It

xAI's Grok 4.5 ships at $2/$6 per million tokens with 80 TPS speeds, a 500k context window, and benchmark results that put it in the Opus and GPT 5.5 tier. What actually shipped, how the pricing compares, and when it makes sense over Claude, GPT, or Gemini.

Blog
Terry Tao on Coding Agents: A Fields Medalist's Take on Vibe Coding

The world's most famous mathematician used AI coding agents to revive 25-year-old Java applets and build new visualization tools. His observations on risk, quality, and trust are worth reading.

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