This week’s edition is a snapshot of where devtools is heading as agents move from experiments to everyday infrastructure. Across the funding and launches, the theme is production readiness: security and governance pulled earlier into design and workflow tools, controlled access to real data, more deterministic browser automation, and better context hygiene so coding agents spend less time searching and more time shipping. Even billing shows up as an engineering problem worth fixing, with tools trying to remove brittle sync and reduce glue code.
The jobs board matches that direction. Teams are hiring engineers who can own systems end to end, from backend and infrastructure to applied AI and large-scale training and inference, with reliability and security treated as product features, not afterthoughts.
⚒️ DevTools Job Opportunities of the Week
Senior Backend Engineer | Onsite, San Francisco | $160-220k
Join an early-stage devtools startup rethinking how developers maintain and scale codebases. Build and own production services, infrastructure, databases, and data pipelines with massive impact. Work directly with the founder and a small passionate team on everything from core backend systems to SOC2 compliance in a culture that values engineering excellence. Looking for 4+ years experience with Python, Go, or TypeScript; SQL and cloud experience a bonus.
Contact: Becca Combe MIRP CertRP | +52 998 939 9191 | becca@develocity.io
Product Engineer | Hybrid, Palo Alto | Base up to $300k + equity
Join a Series B devtools startup experiencing phenomenal growth, trusted by leading tech companies. This hands‑on engineering role focuses on translating product needs into intuitive, reliable AI experiences, from prompt design to system integration, contributing across frontend, backend, and integration layers. Best suited to a Product Engineer/ Applied AI Engineer with strong coding skills (Python, Go, Node.js, JavaScript, TypeScript, React, or Java), experience with API integrations, and familiarity with prompt engineering for LLMs.
Contact: Becca Combe MIRP CertRP | +52 998 939 9191 | becca@develocity.io
Senior Staff Engineer | Remote, East Coast | Base up to $400k
Opportunity to join a frontier AI lab training some of the best foundational models for source code generation, with access to thousands of GPUs to test and ship your work. You’ll work on fault‑tolerant distributed training and inference for LLMs: cross‑platform checkpointing, NCCL recovery, hardware fault detection, and performance of large‑scale jobs. Ideal for exceptional systems engineers with deep PyTorch, NVIDIA GPU, Python/C++ and CUDA experience, strong Linux internals (incl. kernel), and a track record building reliable distributed systems in K8s.
Contact: Louise Ogilvy | +1 917 924 5437 | louise@develocity.io
🏆 Funding Wins
Equixly Raises €10M Series A For Agentic API Security
Equixly API Security raised a €10 million Series A led by 33N Ventures. Founded by Mattia Dalla Piazza and Alessio Dalla Piazza, the Verona startup automates API security testing by inventorying endpoints and simulating attacker behaviour with models trained on real attacks, catching business logic flaws scanners miss. Funds will deepen autonomous agents and expand to the UK. The team shared on Linkedin this week:
Seeing our agents empower developers and security teams alike, across European banks, insurers and payment providers, is already validation that what we’re building is both important and timely.
Clover Security Lands $36M To Embed Security Agents In DevTools
Clover Security announced $36 million led by Notable Capital and Team8. Founded by Alon Kollmann (CEO) and Or Chen 🍀, it embeds AI agents into Confluence, Jira, GitHub, Cursor, and Slack to catch design flaws early in AI-native development. “Existing security tools are reactive, forcing teams to fight fires,” Kollmann said. Already deployed at Udemy, Plaid, and Notion.
Channel3 Bags $6M Seed For Universal Product Graph
Channel3 (YC S25) raised a $6 million seed led by Matrix. Founded by Alexander Schiff and George Lawrence, it builds a real-time API of 50M+ products for AI shopping agents, using multimodal AI to dedupe listings and extract attributes. Developers get fresh data and affiliate monetization; brands sync catalogs easily. Funds scale engineering and compute.
🚀 Other DevTools News
BrowserBook Launches IDE For Reliable Browser Automation
BrowserBook launched with an IDE that keeps the whole browser automation loop in one place: a Jupyter-like environment for running code cells, an inline browser, a Playwright coding agent, and built-ins for screenshots, data extraction, and authentication. Founded by Jorrie Brettin and Chris Schlaepfer, the team is pitching a practical middle path: skip flaky browser agents, keep the determinism of scripts, and make it faster to debug when sites change. Finished automations can be deployed and triggered via a public API. 🔧 Try BrowserBook
Morph Introduces WarpGrep To Cut Context Rot In Coding Agents
Morph introduced WarpGrep, an RL-trained context subagent for agentic code search that aims to reduce irrelevant context without embeddings. Tejas Bhakta (Founder) says “Context Rot” kicks in as context windows grow, hurting performance, and claims WarpGrep improves speed and accuracy by pushing repo search into a specialised subagent with parallel tool calls like grep, list, and read. WarpGrep is available via MCP for Claude Code, Codex, Factory, and OpenCode. 🚀 Read the docs
Flowglad Debuts Open Source, Zero Webhooks Payments Provider
Flowglad launched as an open source payments provider designed to remove webhook-driven glue code. Founded by Agree Ahmed, it aims to become the source of truth for billing state and entitlements, so apps can reference prices, features, and meters via slugs and customers via their own database IDs. Flowglad also generates an integration prompt tailored to your pricing model and codebase, built for AI coding agents, and points teams to its open source billing logic as “code-as-docs.” 🎉 Give Flowglad a go
Pylar Hits Product Hunt With A Governed MCP Layer For Agents
Pylar launched on Product Hunt last week and hit the #1 spot. Hoshang Mehta (CEO, Airbook & Pylar) summed up the pain Pylar aims to target:
If you’re building internal or customer-facing agents, you probably know the pain: the moment an agent needs to touch real, structured data (Snowflake, Postgres, HubSpot, Stripe…), everything gets tricky. Security reviews, custom APIs, governance, permissioning… the whole thing slows to a crawl.
Pylar is a governed layer between your agents and your data stack, letting teams connect datasources, define what agents can access, build custom MCP tools on top of those views, and publish them to any agent builder via one secure link. ✅ See Pylar
Got launch news or funding to share? Send it to Natalie Harper.
Want more details on the opportunities here or want to register your resume with us, reach out to Becca Combe MIRP CertRP and Louise Ogilvy directly.
Or contact us here for general enquiries.
Keywords: developer tools, AI agents, AI coding tools, devex, code intelligence, devtools, staff‑plus engineering, product‑led growth.
