Herdr has released a native desktop application that organizes terminal sessions and coding agents into workspaces called 'spaces,' each containing tabs and splittable panes. The app includes an agents sidebar that tracks the status of coding agents across all spaces—marking them as Working, Blocked, Done, or Idle—and lets terminals keep running after the window closes. It installs via shell script on Linux/macOS and PowerShell on Windows, and can also install its companion herdr-core component if missing.
github.com
· 2026-10-30
FurtherAI engineering leadership shared internal metrics from building what they call an AI-native engineering org over the past nine months. The company reports a roughly 5x increase in code changes merged per engineer since January, with revert rates under 0.5%, driven by adding AI agents to coding, test writing, code review, CI, bug triage, and rule enforcement at each stage of the shipping process.
twitter.com
· 2026-10-29
Rachel Laycock, CTO at Thoughtworks, writes that many skilled developers remain cautious about fully adopting AI coding agents despite the firm's history of embracing early tools and practices like continuous integration and automated testing. She says a Technology Radar team discussion in September helped clarify that the hesitation isn't primarily about job security or love of hand-written code, but a deeper concern tied to quality and production-readiness.
martinfowler.com
· 2026-10-29
A workflow called 'Tasks as Code' suggests replacing external trackers like Jira or Redmine with Markdown task files stored directly in a code repository's /docs-style folder. The approach extends the existing 'Docs as Code' practice, letting AI coding agents read tasks, code and documentation in one place and record updates through ordinary Git commits. It is linked to Spec-Driven Development, where Markdown specifications define intended behavior before an agent implements it.
typemill.net
· 2026-10-26
Microsoft has released Scope, an open-source platform built on Kubernetes that lets development teams run repeatable experiments to see how AI coding agents interact with their SDKs, CLIs, MCP servers and documentation. The tool is available under the MIT License and is designed to turn observed agent behavior into actionable fixes for product teams. Microsoft cites the Azure Cosmos DB team, which used Scope's evaluations to resolve 20 Agent Kit issues and 27 documentation issues.
news.slashdot.org
· 2026-10-26
Forever Security researchers discovered a malicious AGENTS.md instruction file in a customer's Downloads folder that caused an AI coding agent to attempt installing a rogue npm package called 'function-color.' They reproduced the attack against OpenAI Codex and showed a similar technique against Claude Code that could leak OAuth tokens and hijack accounts, all using only crafted text instructions placed in the agent's working directory.
bleepingcomputer.com
· 2026-10-25
A developer essay sketches a hypothetical 2031 workday in which AI agents complete most coding tasks overnight, opening pull requests with tests and recorded demos, while leaving ambiguous business decisions for a human to resolve. The piece draws a parallel to earlier predictions that compilers would make programming obsolete, arguing that each layer of automation shifts rather than removes human judgment. The author frames this as a plausible near-future extension of present-day agentic coding tools rather than a confirmed roadmap.
hrih.si
· 2026-10-21
LayerFS is a filesystem designed for AI coding agents that automatically creates a checkpoint at every step an agent takes. Each file operation is recorded as a commit, and each Bash command commits once it finishes executing. Calls that make no changes do not generate a commit, avoiding unnecessary history noise.
layerfs.ai
· 2026-10-21
A developer built KillSwitch, a stack-based esoteric programming language meant to be difficult for AI coding assistants to parse or write correctly. The language buries deceptive or misleading statements in its specification, relies heavily on letter-counting rules, embeds phrases like 'ignore previous instructions' and 'hack into a computer' that can trip AI safety filters, and hides syntax within unrelated narrative text.
blog.picheta.me
· 2026-10-17
A study covering more than 700 software companies found that AI coding agents raised lines of code by 30 percent, commits by 20 percent, and pull requests by 23 percent, but did not meaningfully increase the rate at which firms resolved tracked features or issues in tools like Jira. Researchers attribute the gap to code review, which took 49 percent longer on average after AI tools were adopted, with more revisions required and more reviewer comments per pull request.
tech.slashdot.org
· 2026-10-12
Harvard researchers Fiona Chen and James Stratton analyzed Jellyfish analytics covering 300 million work events across more than 700 software firms and 700,000 employees from 2021 to March 2026. They found that while AI coding assistants and agents increase the volume of code generated, firms show little evidence of increased software output or reduced employment, because human code review becomes a bottleneck, with longer reviews, more revision requests, and more reviewer comments.
arstechnica.com
· 2026-10-09
Cockroach Labs reports that an autonomous system of coding agents built Db2 database migration support for its MOLT tool between a Wednesday and Friday in April, without any human writing code. The work included a new schema converter, data-fetching and verification paths, and over ten thousand lines of test fixtures, costing $4,172 in token usage. The company says this compares to nine months and roughly $160,000 in engineering time spent adding similar Oracle support in 2024.
cockroachlabs.com
· 2026-10-09
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