# coding-agent Published articles for coding-agent. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Put Your Coding Agent in Discord: A Team Ask-Bot Built in an Hour DevFeed: [Put Your Coding Agent in Discord: A Team Ask-Bot Built in an Hour]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-09-21T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [Discord](), [Repository](), [Bot](), [service]() Tags: [agent](), [ai-agents](), [automation](), [bot](), [build](), [channel](), [coding-agent](), [complete](), [discord](), [opencode](), [railway](), [repository](), [service](), [watches]() ### AI overview A tutorial on building a Discord bot that uses a slash command, a headless OpenCode coding agent, and a persistent Railway service to answer questions about a repository in a shared channel. ### Source excerpt Your team already lives in Discord. A slash command, a headless OpenCode agent, and a persistent Railway service add up to a bot that answers questions about your repository in the channel everyone already watches. The complete build, start to finish. ## Agent Retrieval Bench Finds The Files Before The Fix DevFeed: [Agent Retrieval Bench Finds The Files Before The Fix]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-09-21T00:00:00Z Content type: article Language: en Sources: [Developers Digest]() Topics: [Repository]() Tags: [agent](), [ai-agents](), [ai-coding](), [benchmarks](), [coding](), [coding-agent](), [context-engineering](), [repository](), [retrieval]() ### AI overview Agent Retrieval Bench examines whether coding agents find the correct repository files before editing, a part of coding-agent evaluation that other evaluations may hide. ### Source excerpt Agent Retrieval Bench isolates the part of coding-agent work most evals hide: did the agent find the right repository files before it started editing? ## Turn a Voice Memo into a GitHub Issue (and PR) with ElevenLabs Scribe DevFeed: [Turn a Voice Memo into a GitHub Issue (and PR) with ElevenLabs Scribe]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-09-16T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [GitHub](), [GitHub Issues](), [API](), [recording]() Tags: [agent](), [ai-agents](), [api](), [coding](), [coding-agent](), [draft](), [elevenlabs](), [github](), [github-issues](), [issue](), [notes](), [opencode](), [phone](), [pipeline](), [pull-requests](), [recording](), [speech-to-text](), [structured](), [voice](), [webhook]() ### AI overview A tutorial describing a pipeline that converts a phone voice memo into a structured GitHub issue using the ElevenLabs Scribe API, then uses a webhook-based coding agent to create pull requests. ### Source excerpt The bug you find walking home deserves a better capture path than a Notes app draft. A phone recording, the ElevenLabs Scribe API, and a headless coding agent add up to a pipeline where spoken words become structured GitHub issues - and with a webhook agent, pull requests. ## Podcast Your Release Notes: Two-Voice Audio from Git History with ElevenLabs DevFeed: [Podcast Your Release Notes: Two-Voice Audio from Git History with ElevenLabs]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-31T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [Git](), [changelog](), [API](), [Script](), [FFmpeg (Fast Forward Moving Picture Experts Group)]() Tags: [api](), [automation](), [build](), [changelog](), [coding](), [coding-agent](), [elevenlabs](), [ffmpeg](), [git](), [opencode](), [podcast](), [script](), [text-to-speech]() ### AI overview A tutorial showing how a coding agent uses Git history to write a two-speaker release-notes script, converts it into a host-and-guest audio conversation with the ElevenLabs Text to Dialogue API, and combines the result with ffmpeg. ### Source excerpt A changelog nobody reads is a story nobody heard. A coding agent reads your real git history and writes a two-speaker script, the ElevenLabs Text to Dialogue API turns it into a host-and-guest conversation, and ffmpeg stitches the episode. The complete one-hour build. ## The Importance of Planning Before Coding: A Workflow Solution DevFeed: [The Importance of Planning Before Coding: A Workflow Solution]() Original publisher: [Read original article]() Author: adron Published: 2026-08-24T18:38:20Z Content type: tutorial Language: en Sources: [Swamp Club Feed]() Topics: [Loop Engineering](), [Code](), [implementation]() Tags: [agentic](), [agents](), [ai](), [ai-agents](), [code](), [coding](), [coding-agent](), [developer](), [gen-ai](), [how-to](), [llms](), [multiple-agents](), [plan](), [programming](), [structured](), [unknown-code-ramblings](), [workflow]() ### AI overview This tutorial argues that capable coding agents need a deliberate pause before editing code. It presents a gated workflow in which the agent asks clarifying questions, proposes a plan, and waits for approval before implementation, with replanning required when work exceeds the approved scope. ### Source excerpt Learn how to prevent coding mishaps by implementing a structured planning process before AI agents make changes to your codebase. ## Hands-On With Pi: Run Modes and JSONL Session Trees DevFeed: [Hands-On With Pi: Run Modes and JSONL Session Trees]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-23T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [SDK](), [Text-based user interface]() Tags: [ai-agents](), [auth](), [branch](), [coding-agent](), [developer-tools](), [fork](), [guide](), [install](), [pi](), [practical](), [resume](), [run](), [sdk](), [session-management](), [trees](), [tutorials]() ### AI overview A practical guide to earendil-works/pi covering installation and authentication, four run modes from TUI to SDK, and JSONL session trees with branching, forking, and resuming. It also discusses rough edges in the tool. ### Source excerpt The practical guide to earendil-works/pi: verified install and auth steps, all four run modes from TUI to SDK, JSONL session trees with branch, fork and resume, and the rough edges nobody advertises. ## fx Deep Dive: Inside Vercel's Tiny Native Coding Agent DevFeed: [fx Deep Dive: Inside Vercel's Tiny Native Coding Agent]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-23T00:00:00Z Content type: article Language: en Sources: [Developers Digest]() Topics: [Vercel](), [Zig](), [browser]() Tags: [agent](), [ai-agents](), [browser](), [ci](), [cli](), [coding](), [coding-agent](), [coding-agents](), [deep](), [deep-dive](), [developer-tools](), [docs](), [embedded](), [experimental](), [labs](), [native](), [source](), [tiny](), [vercel](), [zig]() ### AI overview A deep dive into fx, Vercel Labs' experimental coding agent written in Zig. It examines the roughly 6 MiB native binary and its potential embedding in CI sandboxes and browsers. ### Source excerpt 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. ## Dub Your Videos into Every Language: The ElevenLabs Dubbing Pipeline DevFeed: [Dub Your Videos into Every Language: The ElevenLabs Dubbing Pipeline]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-12T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [API](), [file]() Tags: [ai-agents](), [api](), [audio](), [background](), [build](), [coding-agent](), [complete](), [dub](), [dubbing](), [elevenlabs](), [file](), [language](), [languages](), [opencode](), [pipeline](), [repo](), [timing](), [video](), [videos](), [voices]() ### AI overview A coding agent and the ElevenLabs Dubbing API are used to transcribe, translate, and re-voice videos into more than 90 languages while preserving speaker identity, timing, and background audio. The tutorial covers the build from repository to finished dubbed files. ### Source excerpt Your best video speaks one language. A coding agent extracts your vocabulary, the ElevenLabs Dubbing API transcribes, translates, and re-voices the file into 90+ languages, keeping each speaker, the timing, and the background audio intact. The complete one-hour build, from repo to a folder of market-ready dubs. ## Skill Files Are the New Supply Chain Attack Surface DevFeed: [Skill Files Are the New Supply Chain Attack Surface]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-12T00:00:00Z Content type: article Language: en Sources: [Developers Digest]() Topics: [Exploit]() Tags: [adversarial](), [agent](), [ai-agents](), [analysis](), [attack](), [attack-surface](), [coding](), [coding-agent](), [engineering](), [enterprise](), [exploit](), [research](), [security](), [skills](), [supply-chain](), [supply-chain-attack]() ### AI overview The article describes adversarial skill files as a supply-chain attack surface for enterprise coding agents. It reports high exploit rates, rare danger recognition, and argues for admission engineering as a defense instead of relying on better prompts. ### Source excerpt Adversarial skill files - folders of instructions agents load dynamically - exploit a mainstream enterprise coding agent in 95.5 to 96.1 percent of runs, while the agent recognizes danger 1.99 percent of the time. The skill folder is now a measured attack surface, and the defense is admission engineering, not better prompts. ## Deploy From Your Coding Agent: Wire Railway's MCP Server Into OpenCode DevFeed: [Deploy From Your Coding Agent: Wire Railway's MCP Server Into OpenCode]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-11T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [Model Context Protocol](), [Server](), [Tool](), [service](), [domain]() Tags: [ai-agents](), [coding-agent](), [deploy](), [deployment](), [domain](), [logs](), [mcp](), [mcp-server](), [opencode](), [railway](), [server](), [service](), [variables]() ### AI overview A tutorial on connecting Railway's official MCP server to OpenCode so a coding agent can create projects, deploy services, assign domains, modify variables, and read logs through tool calls. ### Source excerpt Your coding agent can write the code. With Railway's official MCP server it can ship it too: create the project, deploy the service, assign a domain, tweak variables, and read logs, all as tool calls. The complete one-hour build. ## Build and Deploy a Stateless Remote MCP Server for Coding Agents DevFeed: [Build and Deploy a Stateless Remote MCP Server for Coding Agents]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-10T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [Model Context Protocol](), [Server](), [stateless](), [Claude Code](), [Cloud](), [Code]() Tags: [ai-agents](), [claude-code](), [cloud](), [code](), [coding-agent](), [deploy](), [deployment](), [mcp](), [mcp-server](), [opencode](), [railway](), [remote-mcp-server](), [server]() ### AI overview A tutorial on building a stateless remote MCP server as an HTTP endpoint, deploying it on Railway, and connecting it to coding agents such as OpenCode and Claude Code. ### Source excerpt MCP just became stateless, which means your own MCP server is now just an HTTP endpoint that deploys like any web service. Build one with an agent, deploy it on Railway, and point opencode or Claude Code at the public URL. The full build, start to finish. ## Give Your Site a Voice: Build a Conversational Support Agent with ElevenLabs Agents DevFeed: [Give Your Site a Voice: Build a Conversational Support Agent with ElevenLabs Agents]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-09T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [asr](), [Large Language Model](), [Command-line interface](), [Model Context Protocol](), [Documentation](), [Support]() Tags: [agent](), [ai-agents](), [asr](), [cli](), [coding-agent](), [conversational-ai](), [developer-tools](), [docs](), [elevenlabs](), [llm](), [mcp](), [support](), [tts](), [voice](), [voice-agents](), [widget]() ### AI overview A tutorial on building a conversational support voice agent with ElevenLabs Agents. It describes grounding the agent in documentation, combining ASR, an LLM, TTS, and turn-taking, embedding a widget, and managing it through a CLI or MCP. ### Source excerpt A support page nobody talks to is a support page doing half its job. ElevenLabs Agents gives you a two-way voice agent grounded on your own docs: ASR, LLM, TTS and turn-taking in one platform, a widget you embed in five lines, and CLI or MCP management so your coding agent can run it. The complete one-hour build. ## Make Your Coding Agent Talk: Audio Briefs from Agent Runs with ElevenLabs DevFeed: [Make Your Coding Agent Talk: Audio Briefs from Agent Runs with ElevenLabs]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-08T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [voice ai]() Tags: [agent](), [ai-agents](), [audio](), [automation](), [coding](), [coding-agent](), [elevenlabs](), [mp3](), [opencode](), [speech](), [text](), [text-to-speech](), [work]() ### AI overview A tutorial on building a coding agent that sends the plain-language summary from each run to ElevenLabs text-to-speech and produces an MP3 audio brief for listening later. ### Source excerpt The agent finishes, the summary scrolls past, and you will read it later. Build the fix: a coding agent that ends every run with a plain-language summary, piped into ElevenLabs text-to-speech and out as an MP3 you can listen to on the way to work. The complete one-hour build. ## Meta Ships Muse Code and Muse Spark 1.2: A Terminal Agent With a 12x Cheaper Contributor Tier DevFeed: [Meta Ships Muse Code and Muse Spark 1.2: A Terminal Agent With a 12x Cheaper Contributor Tier]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-06T00:00:00Z Content type: release Language: en Sources: [Developers Digest]() Topics: [Meta](), [Terminal](), [Command-line interface](), [Code](), [data]() Tags: [2026](), [agent](), [ai-agents](), [ai-models](), [code](), [coding](), [coding-agent](), [data](), [developer-tools](), [event](), [harness](), [logs](), [meta](), [model](), [muse-spark](), [news](), [offers](), [spark](), [terminal](), [train]() ### AI overview Meta released Muse Code, a terminal coding agent, and Muse Spark 1.2 on August 5, 2026. The release describes harness co-training, replay-safe event logging, and a contributor tier priced at $0.10/$0.20 when Meta may train on user data. ### Source excerpt Meta released Muse Code, a terminal coding agent, and Muse Spark 1.2 on August 5, 2026. The model co-trains with the harness, logs every call to a replay-safe event log, and offers a $0.10/$0.20 contributor tier if Meta may train on your data. ## Put an AI Agent Behind a Webhook: Turn GitHub Issues into Pull Requests DevFeed: [Put an AI Agent Behind a Webhook: Turn GitHub Issues into Pull Requests]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-05T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [AI Agent](), [GitHub](), [GitHub Issues](), [Pull Request](), [service]() Tags: [agent](), [ai](), [ai-agent](), [ai-agents](), [ai-coding-agent](), [automation](), [coding](), [coding-agent](), [github](), [github-issues](), [headless](), [opencode](), [pull-request](), [pull-requests](), [railway](), [repo](), [webhook](), [webhooks]() ### AI overview A tutorial describes connecting a GitHub webhook, a Railway service, and OpenCode headless to an AI coding agent so a labeled GitHub issue can trigger a pull request without manual keyboard input. ### Source excerpt The most common trigger for an AI coding agent is not a clock, it is an event. A GitHub webhook, a Railway service, and OpenCode headless add up to a repo where a labeled issue gets a real pull request without anyone at the keyboard. The full build, start to finish. ## 13.5 Million Copilot Sessions: What Production Coding Agent Traffic Actually Looks Like DevFeed: [13.5 Million Copilot Sessions: What Production Coding Agent Traffic Actually Looks Like]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-04T00:00:00Z Content type: article Language: en Sources: [Developers Digest]() Topics: [Large Language Model](), [Cache](), [Microsoft](), [Tool](), [sessions]() Tags: [agent](), [ai-agents](), [analysis](), [coding-agent](), [compute](), [copilot](), [github-copilot](), [kv-cache](), [llm](), [llm-infrastructure](), [microsoft](), [news](), [production](), [research](), [sessions](), [tool]() ### AI overview A Microsoft Research analysis of 3.2 million users and 761 million LLM calls finds that coding-agent traffic is predominantly agent-initiated, consumes KV cache at turn boundaries, and can incur substantially higher compute costs when tools fail. ### Source excerpt A Microsoft Research analysis of 3.2M users and 761M LLM calls shows coding agent traffic is 87% agent-initiated, burns KV cache at turn boundaries, and punishes every tool failure with up to 4x compute. ## Give Your Coding Agent a Voice: Dictate Prompts with Wispr Flow DevFeed: [Give Your Coding Agent a Voice: Dictate Prompts with Wispr Flow]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-04T00:00:00Z Content type: tutorial Language: en Sources: [Developers Digest]() Topics: [Command-line interface](), [Prompt Engineering](), [context]() Tags: [agent](), [ai-agents](), [cli](), [coding](), [coding-agent](), [command](), [context](), [developer-tools](), [how-to](), [opencode](), [prompt](), [voice](), [voice-dictation](), [wispr-flow]() ### AI overview A tutorial on using Wispr Flow to dictate context-rich prompts into a coding agent CLI such as OpenCode hands-free, covering hotkeys, snippets, dictionary settings, and Command Mode. ### Source excerpt The agent is only as good as the prompt, and the best prompts are the ones you would speak. How to dictate context-rich prompts into an agent CLI like OpenCode hands-free: hotkeys, snippets, dictionary, and Command Mode. ## The Continuous Thunderdome: Why Agent Harnesses Become Application Infrastructure DevFeed: [The Continuous Thunderdome: Why Agent Harnesses Become Application Infrastructure]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-08-03T00:00:00Z Content type: opinion Language: en Sources: [Developers Digest]() Topics: [long-running](), [Software](), [Graphs](), [App]() Tags: [agent](), [agent-orchestration](), [ai-coding](), [application](), [coding](), [coding-agent](), [developer-workflow](), [essay](), [graph](), [long-running](), [software](), [software-architecture]() ### AI overview Steve Yegge's essay argues that long-running coding-agent loops will lead teams beyond reusable harnesses toward bespoke, graph-driven software factories. ### Source excerpt Steve Yegge's new essay argues that long-running coding-agent loops will push teams beyond reusable harnesses and toward bespoke, graph-driven software factories. ## Microsoft's Change2Task Converts Merged Pull Requests into Verified Coding Agent Tasks DevFeed: [Microsoft's Change2Task Converts Merged Pull Requests into Verified Coding Agent Tasks]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-07-31T00:00:00Z Content type: article Language: en Sources: [Developers Digest]() Topics: [Training AI Models](), [Pull Request](), [Microsoft](), [data]() Tags: [ai-agents](), [benchmark](), [coding-agent](), [data](), [microsoft](), [news](), [pull-requests](), [research](), [training-data]() ### AI overview Microsoft's Change2Task converts merged pull requests into verified, executable coding agent tasks and keeps them current with the codebase. The supplied description reports 79.6% construction success across 1,130 repository changes and 29.2% more verified tasks than pull-request baselines. ### Source excerpt Microsoft's Change2Task turns merged pull requests into verified, executable coding agent tasks: 79.6% construction success across 1,130 repo changes, 29.2% more verified tasks than PR baselines, and tasks that stay current with the codebase. ## AGENTS.md Files Don't Move Coding Agent Correctness: A 288-Run Ablation DevFeed: [AGENTS.md Files Don't Move Coding Agent Correctness: A 288-Run Ablation]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-07-31T00:00:00Z Content type: article Language: en Sources: [Developers Digest]() Topics: [Claude Code](), [codex](), [context](), [Code](), [implementation](), [Repository]() Tags: [ablation](), [agents-md](), [ai-agents](), [ai-research](), [claude](), [claude-code](), [codex](), [coding](), [coding-agent](), [context](), [context-engineering](), [implementation](), [news](), [repository]() ### AI overview A controlled ablation of Claude Code and Codex across 17 real tasks and 288 evaluated runs found that context-injection strategy did not measurably change coding-agent correctness, within a stated 10-15 percentage-point bound. The reported failures were attributed to implementation skill rather than missing repository knowledge. ### Source excerpt A controlled ablation across Claude Code and Codex, 17 real tasks, and 288 evaluated runs finds context-injection strategy does not measurably change correctness (bounded to under 10-15pp). The failures are implementation skill, not missing repository knowledge. ## AgentS4D: 66% of All Coding Agent Runs Were Unsafe Yet Still Completed DevFeed: [AgentS4D: 66% of All Coding Agent Runs Were Unsafe Yet Still Completed]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-07-31T00:00:00Z Content type: article Language: en Sources: [Developers Digest]() Topics: [Benchmark](), [Code](), [Large Language Model](), [Claude](), [Claude Code](), [codex](), [OpenClaw]() Tags: [ai-agents](), [benchmark](), [benchmarks](), [claude](), [claude-code](), [code](), [codex](), [coding](), [coding-agent](), [llms](), [news](), [openclaw](), [security]() ### AI overview An arXiv benchmark evaluated coding agents in 6,560 sandboxed runs across four agent systems and five large language models. Unsafe signals appeared in 68% of runs, while 66% were unsafe yet still passed completion checks. ### Source excerpt A new arXiv benchmark ran 6,560 sandboxed runs across Claude Code, Codex, OpenClaw, and Hermes with five LLMs. 68% of runs triggered unsafe signals, and 66% of all runs were unsafe yet still passed completion checks. Task completion does not prove an agent ran safely. ## Casper: Snap's fleet of friendly AI teammates DevFeed: [Casper: Snap's fleet of friendly AI teammates]() Original publisher: [Read original article]() Published: 2026-07-28T07:00:00Z Content type: article Language: en Sources: [Snap]() Topics: [AI Agent](), [Software Engineering](), [AI-assisted coding](), [Code generation](), [Code review](), [Pull Request](), [Slack](), [Artificial Intelligence]() Tags: [agents](), [ai](), [code-generation](), [code-review](), [coding](), [coding-agent](), [deployment](), [development](), [engineering](), [human-in-the-loop](), [identity-security](), [pull-request]() ### AI overview Snap describes Casper, a fleet of autonomous AI agents that works through Slack and a web console to perform software engineering tasks, including coding, code review, data queries, project management, and pull request creation. The system keeps engineers involved in judgment decisions while handling repetitive work. ### Source excerpt Casper: Snap's fleet of friendly AI teammates Software engineering is changing fast. Across the industry, the question is no longer whether AI can write production code, it's how much of the development lifecycle organizations are willing to offload to the agents. At Snap, we continue to increase the amount we count on agents for the work while keeping the human in the loop for judgement decisions. ## AI Coding Agent Firewalls and Security Layers Compared 2026 DevFeed: [AI Coding Agent Firewalls and Security Layers Compared 2026]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-07-28T00:00:00Z Content type: comparison Language: en Sources: [Developers Digest]() Topics: [Security](), [AI-assisted coding](), [Artificial Intelligence](), [prompt injection](), [Claude](), [Claude Code](), [codex](), [Model Context Protocol](), [Command-line interface](), [proxy]() Tags: [agent-safety](), [ai](), [ai-agents](), [ai-coding](), [ai-coding-agent](), [ai-security](), [claude](), [claude-code](), [cli](), [codex](), [coding](), [coding-agent](), [comparison](), [firewalls](), [mcp](), [prompt-injection](), [proxy](), [security]() ### AI overview A comparison of Belay, Claude Code built-in guards, Codex CLI sandboxing, and MCP proxy patterns for protecting systems from destructive commands, secret leaks, and prompt injection in AI coding agents. ### Source excerpt Belay, Claude Code built-in guards, Codex CLI sandboxing, and MCP proxy patterns compared - how to protect your system from destructive commands, secret leaks, and prompt injection in AI coding agents. ## SWE-Pruner Pro Makes Tool Output Pruning an Agent Runtime Problem DevFeed: [SWE-Pruner Pro Makes Tool Output Pruning an Agent Runtime Problem]() Original publisher: [Read original article]() Author: Developers Digest Published: 2026-07-21T00:00:00Z Content type: article Language: en Sources: [Developers Digest]() Topics: [Tool](), [context]() Tags: [agent](), [ai-agents](), [ai-coding](), [coding-agent](), [context](), [context-engineering](), [developer-workflow](), [practical](), [runtime](), [swe-bench](), [tool]() ### AI overview SWE-Pruner Pro presents tool-output pruning as a coding-agent runtime concern. It argues that runtimes should prune tool outputs before they become context for the next turn, rather than relying only on prompt compression outside the model. ### Source excerpt SWE-Pruner Pro points at a practical coding-agent design shift: do not only compress prompts outside the model. Teach the runtime to prune tool outputs before they become the next turn's context. [Next page]()