Blog
Stories, lessons, and ideas from the team building the platform for AI software engineers.
Software engineers don't disappear. They evolve into agent operators — defining behavior, setting constraints, and verifying outcomes instead of writing every line by hand.
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70% of developers report personal AI productivity gains, but only 17% see team-level improvements. The gap is organizational, not technological. Here's how to close it.
Documentation rots the moment it's written. We built an agent that polls for code changes on a schedule and generates PRs to keep docs in sync — no human in the loop.
From YC W24 demo day to production agent platform. The architecture decisions, the pivots, and the mistakes we made building the infrastructure layer for AI engineers.
What we learned shipping autonomous coding agents to hundreds of engineering teams. Sandboxing, context management, cost control, and the things that actually matter.
Per-seat pricing is broken for AI tools. Your team shouldn't pay $59/user/month for a tool that runs asynchronously. Here's why usage-based pricing aligns incentives better.
Configure a Cron Workflow that summarizes all recently merged code and posts it to Slack every morning, so standup time goes to resolving blockers instead of status updates.
Select a repository and a delivery window to get a daily, weekly, or monthly digest of what changed in your codebase, delivered via Slack or email.
Tag @ellipsis-dev on any GitHub or Linear issue to get an implementation plan grounded in your codebase and past pull requests.
GitHub bundles authentication, webhooks, and UI into one Application concept. GitLab splits them apart. What we learned bringing Ellipsis to GitLab.
Ellipsis has achieved SOC 2 Type I certification. Reach out for the report, and read about our no-data-persistence policy.
Ellipsis gets a LGTM from investors, including Y Combinator. $2M to automate the tedious parts of software engineering.
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